diff --git a/cases.csv b/cases.csv index e813a404..69bc8bf0 100644 --- a/cases.csv +++ b/cases.csv @@ -3,7 +3,6 @@ timetype,Sequential or Intertemporal,seq; int; win,seq, ignore,"0=run this case, 1=ignore this case",0; 1,0, AWS,Switch for when running on AWS,0; 1,0, yearset,"_-delimited list of years to model OR bash-formatted year ranges (start..end..step). For example, 2010_2015_2020..2035..3_2040..2050..5 means: 2010, 2015, then 2020 through 2035 in 3-year steps, then 2040 through 2050 in 5-year steps. startyear will be prepended if it is not included. Truncated at endyear.",N/A,2010_2015_2020..2050..3, -startyear,First year to be modeled,N/A,2010, endyear,Last year to be modeled,N/A,2050, windows_suffix,Set of windows that are modeled,default; step5; step10; 2100,default, solver,Solver for GAMS to use,CPLEX; gurobi,CPLEX, diff --git a/docs/sources.csv b/docs/sources.csv index ffa11a35..9e3d7cf2 100644 --- a/docs/sources.csv +++ b/docs/sources.csv @@ -117,14 +117,7 @@ RelativeFilePath,RelativeFolderPath,FileName_new,FileExtension,Description_new,I /inputs/capacity_exogenous/cappayments.csv,/inputs/capacity_exogenous,cappayments,.csv,,,,,, /inputs/capacity_exogenous/cappayments_ba.csv,/inputs/capacity_exogenous,cappayments_ba,.csv,,,,,, /inputs/capacity_exogenous/demonstration_plants.csv,/inputs/capacity_exogenous,demonstration_plants,.csv,Nuclear-smr demonstration plants; active when GSw_NuclearDemo=1,"t,r,i,coolingwatertech,ctt,wst,value",,See 'notes' column in the file and https://www.energy.gov/oced/advanced-reactor-demonstration-projects-0,Prescribed capacity,MW -/inputs/capacity_exogenous/exog_cap_geohydro_allkm_reference.csv,/inputs/capacity_exogenous,exog_cap_geohydro_allkm_reference,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_geohydro_reference.csv,/inputs/capacity_exogenous,exog_cap_geohydro_reference,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_upv_limited.csv,/inputs/capacity_exogenous,exog_cap_upv_limited,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_upv_open.csv,/inputs/capacity_exogenous,exog_cap_upv_open,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_upv_reference.csv,/inputs/capacity_exogenous,exog_cap_upv_reference,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_wind-ons_limited.csv,/inputs/capacity_exogenous,exog_cap_wind-ons_limited,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_wind-ons_open.csv,/inputs/capacity_exogenous,exog_cap_wind-ons_open,.csv,,,,,, -/inputs/capacity_exogenous/exog_cap_wind-ons_reference.csv,/inputs/capacity_exogenous,exog_cap_wind-ons_reference,.csv,,,,,, +/inputs/supply_curve/classification_geothermal.csv,/inputs/capacity_exogenous,classification_geothermal,.csv,Mean tempurature range of geothermal facilities classes defined based on reV resource supply curves and taken from Table 6 of the model documentation https://reeds-model.github.io/ReEDS/model_documentation.html#technical-resource-potential ,"class,access_case,min_reV_mean_temp,max_reV_mean_temp",,,Use to define prescribed capacity class of rsc technology ,celsius degree /inputs/capacity_exogenous/interconnection_queues.csv,/inputs/capacity_exogenous,interconnection_queues,.csv,,,,,, /inputs/capacity_exogenous/prescribed_builds_wind-ofs_meshed_limited.csv,/inputs/capacity_exogenous,prescribed_builds_wind-ofs_meshed_limited,.csv,,,,,, /inputs/capacity_exogenous/prescribed_builds_wind-ofs_meshed_open.csv,/inputs/capacity_exogenous,prescribed_builds_wind-ofs_meshed_open,.csv,,,,,, @@ -532,10 +525,8 @@ RelativeFilePath,RelativeFolderPath,FileName_new,FileExtension,Description_new,I /inputs/sets/orcat.csv,/inputs/sets,orcat,.csv,set of operating reserve categories,,,,GAMS set, /inputs/sets/ortype.csv,/inputs/sets,ortype,.csv,set of types of operating reserve constraints,,,,GAMS set, /inputs/sets/p.csv,/inputs/sets,p,.csv,set of products produced,,,,GAMS set, -/inputs/sets/pcat.csv,/inputs/sets,pcat,.csv,set of prescribed technology categories,,,,GAMS set, /inputs/sets/plantcat.csv,/inputs/sets,plantcat,.csv,set of categories for plant characteristics,,,,GAMS set, /inputs/sets/prepost.csv,/inputs/sets,prepost,.csv,,,,,GAMS set, -/inputs/sets/prescriptivelink0.csv,/inputs/sets,prescriptivelink0,.csv,initial set of prescribed categories and their technologies - used in assigning prescribed builds,,,,GAMS set, /inputs/sets/pvb_agg.csv,/inputs/sets,pvb_agg,.csv,crosswalk between hybrid pv+battery configurations and technology options,,,,GAMS set, /inputs/sets/pvb_config.csv,/inputs/sets,pvb_config,.csv,set of hybrid pv+battery configurations,,,,GAMS set, /inputs/sets/quarter.csv,/inputs/sets,quarter,.csv,,,,,GAMS set, diff --git a/docs/sources_documentation.md b/docs/sources_documentation.md index 53254f2e..89bff638 100644 --- a/docs/sources_documentation.md +++ b/docs/sources_documentation.md @@ -2715,11 +2715,6 @@ - **Description:** set of products produced --- - - [pcat.csv](/inputs/sets/pcat.csv) - - **File Type:** GAMS set - - **Description:** set of prescribed technology categories ---- - - [plantcat.csv](/inputs/sets/plantcat.csv) - **File Type:** GAMS set - **Description:** set of categories for plant characteristics @@ -2729,11 +2724,6 @@ - **File Type:** GAMS set --- - - [prescriptivelink0.csv](/inputs/sets/prescriptivelink0.csv) - - **File Type:** GAMS set - - **Description:** initial set of prescribed categories and their technologies - used in assigning prescribed builds ---- - - [pvb_agg.csv](/inputs/sets/pvb_agg.csv) - **File Type:** GAMS set - **Description:** crosswalk between hybrid pv+battery configurations and technology options diff --git a/hourlize/README.md b/hourlize/README.md index a926f6d3..b82b1fb3 100644 --- a/hourlize/README.md +++ b/hourlize/README.md @@ -72,13 +72,13 @@ Follow setup details in the [Running hourlize](#running-hourlize) section. Hourlize relies on a set of columns being in the reV supply curve. In some cases hourlize can fill in missing columns hourlize in a pre-processing step, but in others these missing columns can cause hourlize to fall. A list of required columns can be found in `hourlize/inputs/resource/rev_sc_columns.csv` - ### 4. Synchronize shared directories By default hourlize will copy the required files in your ReEDS repository (`copy_to_reeds=True`). You can also copy the hourlize outputs back to the shared repository by setting `copy_to_shared=True`. Note that hourlize copies to only one of the shared locations (either the HPC or nrelnas01, depending on where you are running it), so even with `copy_to_shared=True` you'll want to sync up the two shared folders. When starting from the HPC, be sure to open up permissions to the supply curve outputs you've just created (e.g., `chmod -R 777 UPV/2023_06_06_Update`). Then, from your local computer, use WinSCP or rsync to copy the files from Kestrel to nrelnas01: + ```bash rsync -aPu [username]@kestrel.nlr.gov://projects/shared-projects-reeds/reeds/Supply_Curve_Data/UPV/2023_11_02_LandCover /Volumes/ReEDS/Supply_Curve_Data/UPV ``` @@ -168,9 +168,8 @@ The main inputs to hourlize are reV outputs for a given reV scenario: By default, the outputs will be dumped to a subdirectory named `results` within `hourlize/out/[casename]`. In addition, with `copy_to_reeds` set to true (as is default), we'll copy the results to the ReEDS repo containing this hourlize directory, and with`copy_to_shared` set to true (not default), we'll copy to the shared drive (see Shared Drive Locations below). * `supplycurve_{tech}.csv`: A supply curve with rows for each site and columns for region, class, available capacity, and costs. E.g. see `inputs/supply_curve/wind-ons_supply_curve-reference_ba.csv` (within ReEDS repo) -* `{tech}_exog_cap.csv`: Exogenous (built pre-2010) capacity with columns for region, site and year. This is not capacity builds in each year, but rather cumulative capacity of each existing site over time. E.g. see `inputs/capacity_exogenous/wind-ons_exog_cap_reference_ba.csv` (within ReEDS repo) -* `{tech}_prescribed_builds.csv`: Capacity prescribed builds (2010 - present) with columns for region, year, capacity. This is the installed capacity in each year rather than cumulative capacity over time. E.g. see `inputs/capacity_exogenous/wind-ons_prescribed_builds_reference_ba.csv` (within ReEDS repo) * `{tech}_.h5`: Hourly capacity factor profiles for each region/class. See `inputs/profiles_cf/cf_wind-ons_reference_ba.h5` within the ReEDS repository as an example. These files include datasets with column names (class|region) and an index with datetime and timezone information. +* `classification_{tech}.csv`: Tech classes based on capacity factors. ### Shared Drive Locations diff --git a/hourlize/resource.py b/hourlize/resource.py index 1566e5f5..eee7c67a 100644 --- a/hourlize/resource.py +++ b/hourlize/resource.py @@ -771,46 +771,6 @@ def save_sc_outputs( df_sc.to_csv(os.path.join(outpath, 'results', tech + '_supply_curve_raw.csv'), index=False) #Round now to prevent infeasibility in model because existing (pre-2010 + prescribed) capacity is slightly higher than supply curve capacity df_sc[['capacity','existing_capacity']] = df_sc[['capacity','existing_capacity']].round(decimals) - if existing_sites: - # bincol = ['sc_point_gid'] if exog_bin else [] - df_exist = df_sc[df_sc['existing_capacity'] > 0].copy() - #Exogenous (pre-start-year) capacity output - df_exog = df_exist[df_exist['online_year'] < start_year].copy() - # Aggregate existing capacity to (i,rs,t) - if not df_exog.empty: - df_exog = df_exog[[profile_id_col, 'class','retire_year','existing_capacity']].copy() - max_exog_ret_year = df_exog['retire_year'].max() - ret_year_ls = list(range(start_year,max_exog_ret_year + 1)) - df_exog = df_exog.pivot_table(index=[profile_id_col,'class'], columns='retire_year', values='existing_capacity') - # Make a column for every year until the largest retirement year - df_exog = df_exog.reindex(columns=ret_year_ls).fillna(method='bfill', axis='columns') - df_exog = pd.melt( - df_exog.reset_index(), id_vars= [profile_id_col,'class'], - value_vars=ret_year_ls, var_name='year', value_name='capacity') - df_exog = df_exog[df_exog['capacity'].notnull()].copy() - if(tech == 'egs' or tech == 'geohydro'): - df_exog['tech'] = tech + '_allkm_' + df_exog['class'].astype(str) - else: - df_exog['tech'] = tech + '_' + df_exog['class'].astype(str) - df_exog = df_exog[[profile_id_col,'tech','year','capacity']].copy() - df_exog = df_exog.groupby(['tech','year',profile_id_col], sort=False, as_index=False).sum() - df_exog = df_exog.sort_values(['year',profile_id_col]).round(decimals) - df_exog.to_csv(os.path.join(outpath, 'results', tech + '_exog_cap.csv'), index=False) - #Prescribed capacity output - if tech in ['wind-ons', 'wind-ofs']: - df_pre = df_exist[df_exist['online_year'] >= start_year].copy() - if not df_pre.empty: - df_pre = df_pre[[profile_id_col,'online_year','existing_capacity']].copy() - df_pre = df_pre.rename(columns={'online_year':'year', 'existing_capacity':'capacity'}) - df_pre = df_pre.groupby([profile_id_col,'year'], sort=False, as_index =False).sum() - df_pre['capacity'] = df_pre['capacity'].round(decimals) - df_pre = df_pre.sort_values(['year',profile_id_col]) - df_pre.to_csv(os.path.join(outpath, 'results', tech + '_prescribed_builds.csv'), index=False) - #Reduce supply curve based on exogenous (pre-start-year) capacity - if subtract_exog: - criteria = (df_sc['online_year'] > 0) & (df_sc['online_year'] < start_year) - df_sc.loc[criteria, 'capacity'] = ( - df_sc.loc[criteria, 'capacity'] - df_sc.loc[criteria, 'existing_capacity']) cfcol = 'capacity_factor_ac' if 'capacity_factor_ac' in df_sc else 'mean_cf' df_sc_out = ( @@ -860,27 +820,6 @@ def copy_outputs( os.path.join(inputspath, 'supply_curve', f'supplycurve_{tech}-{access_case}.csv') ) - #Prescribed builds and exogenous capacity (if they exist) - try: - shutil.copy2( - os.path.join(resultspath, f'{tech}_prescribed_builds.csv'), - os.path.join( - inputspath, 'capacity_exogenous', - f'prescribed_builds_{techlabel}_{access_case}.csv', - ) - ) - except Exception: - print('WARNING: No prescribed builds') - - try: - df = pd.read_csv(os.path.join(resultspath,f'{tech}_exog_cap.csv')) - df.rename(columns={df.columns[0]: '*'+str(df.columns[0])}, inplace=True) - df.to_csv( - os.path.join(inputspath,'capacity_exogenous',f'exog_cap_{tech}_{access_case}.csv'), - index=False - ) - except Exception: - print('WARNING: No exogenous capacity') ## Metadata # rev configs diff --git a/inputs/capacity_exogenous/exog_cap_geohydro_allkm_reference.csv b/inputs/capacity_exogenous/exog_cap_geohydro_allkm_reference.csv deleted file mode 100644 index 7672b132..00000000 --- a/inputs/capacity_exogenous/exog_cap_geohydro_allkm_reference.csv +++ /dev/null @@ -1,2960 +0,0 @@ -*tech,sc_point_gid,year,capacity -geohydro_allkm_9,31618,2010,10.0 -geohydro_allkm_9,33104,2010,13.0 -geohydro_allkm_9,33483,2010,13.0 -geohydro_allkm_9,33484,2010,13.0 -geohydro_allkm_9,34609,2010,1.1 -geohydro_allkm_9,34613,2010,0.9 -geohydro_allkm_9,34614,2010,0.9 -geohydro_allkm_9,34989,2010,1.1 -geohydro_allkm_10,35373,2010,0.6 -geohydro_allkm_10,35374,2010,0.9 -geohydro_allkm_9,36153,2010,12.8 -geohydro_allkm_9,36895,2010,4.3 -geohydro_allkm_9,37246,2010,9.0 -geohydro_allkm_9,37247,2010,9.0 -geohydro_allkm_9,37274,2010,7.5 -geohydro_allkm_9,37276,2010,7.5 -geohydro_allkm_9,37625,2010,19.0 -geohydro_allkm_9,37626,2010,45.0 -geohydro_allkm_9,37627,2010,50.0 -geohydro_allkm_9,37628,2010,40.0 -geohydro_allkm_9,37629,2010,19.0 -geohydro_allkm_9,37648,2010,0.9 -geohydro_allkm_9,37649,2010,5.4 -geohydro_allkm_9,37654,2010,6.3 -geohydro_allkm_9,37655,2010,10.0 -geohydro_allkm_9,37656,2010,7.3 -geohydro_allkm_9,37657,2010,0.9 -geohydro_allkm_9,37663,2010,56.0 -geohydro_allkm_9,38004,2010,9.0 -geohydro_allkm_9,38005,2010,45.0 -geohydro_allkm_8,38006,2010,60.0 -geohydro_allkm_8,38007,2010,60.0 -geohydro_allkm_8,38008,2010,51.0 -geohydro_allkm_9,38009,2010,40.0 -geohydro_allkm_10,38010,2010,12.2 -geohydro_allkm_9,38028,2010,9.0 -geohydro_allkm_9,38029,2010,10.0 -geohydro_allkm_9,38030,2010,5.4 -geohydro_allkm_9,38036,2010,1.3 -geohydro_allkm_10,38037,2010,1.2 -geohydro_allkm_7,38387,2010,65.0 -geohydro_allkm_8,38388,2010,60.0 -geohydro_allkm_9,38389,2010,50.0 -geohydro_allkm_10,38390,2010,24.627 -geohydro_allkm_10,38407,2010,3.7 -geohydro_allkm_9,38408,2010,10.0 -geohydro_allkm_9,38410,2010,10.0 -geohydro_allkm_9,38416,2010,1.3 -geohydro_allkm_9,38417,2010,10.1 -geohydro_allkm_10,38418,2010,10.1 -geohydro_allkm_8,38767,2010,68.0 -geohydro_allkm_9,38768,2010,60.0 -geohydro_allkm_9,38769,2010,50.0 -geohydro_allkm_10,38770,2010,0.373 -geohydro_allkm_10,38787,2010,0.9 -geohydro_allkm_9,38788,2010,10.0 -geohydro_allkm_9,38789,2010,10.9 -geohydro_allkm_9,38790,2010,5.4 -geohydro_allkm_9,38794,2010,1.2 -geohydro_allkm_9,38795,2010,1.3 -geohydro_allkm_9,38796,2010,1.3 -geohydro_allkm_9,38797,2010,10.1 -geohydro_allkm_9,38798,2010,10.1 -geohydro_allkm_9,39148,2010,50.0 -geohydro_allkm_9,39149,2010,26.0 -geohydro_allkm_9,39169,2010,5.4 -geohydro_allkm_9,39171,2010,0.4 -geohydro_allkm_9,39174,2010,0.8 -geohydro_allkm_9,39175,2010,1.1 -geohydro_allkm_9,39176,2010,0.9 -geohydro_allkm_9,39528,2010,40.0 -geohydro_allkm_9,39529,2010,25.0 -geohydro_allkm_9,39556,2010,10.1 -geohydro_allkm_9,39557,2010,10.1 -geohydro_allkm_9,39908,2010,12.2 -geohydro_allkm_10,40312,2010,0.4 -geohydro_allkm_9,40313,2010,0.1 -geohydro_allkm_9,44870,2010,3.3 -geohydro_allkm_9,44871,2010,3.3 -geohydro_allkm_9,45249,2010,3.3 -geohydro_allkm_9,45250,2010,4.2 -geohydro_allkm_9,45251,2010,3.8 -geohydro_allkm_9,45252,2010,3.3 -geohydro_allkm_10,45629,2010,3.3 -geohydro_allkm_8,45631,2010,4.6 -geohydro_allkm_9,45632,2010,3.3 -geohydro_allkm_9,45675,2010,23.0 -geohydro_allkm_9,46010,2010,3.3 -geohydro_allkm_9,46011,2010,3.3 -geohydro_allkm_10,46055,2010,8.7 -geohydro_allkm_9,47192,2010,11.0 -geohydro_allkm_9,51714,2010,21.779 -geohydro_allkm_9,52093,2010,23.4 -geohydro_allkm_8,52094,2010,27.5 -geohydro_allkm_8,52095,2010,27.0 -geohydro_allkm_9,52096,2010,22.5 -geohydro_allkm_9,52473,2010,26.7 -geohydro_allkm_8,52474,2010,30.0 -geohydro_allkm_9,52853,2010,23.5 -geohydro_allkm_9,52854,2010,26.9 -geohydro_allkm_9,53234,2010,0.021 -geohydro_allkm_7,63883,2010,4.0 -geohydro_allkm_7,63884,2010,10.0 -geohydro_allkm_7,63885,2010,9.0 -geohydro_allkm_7,64263,2010,29.0 -geohydro_allkm_7,64264,2010,49.0 -geohydro_allkm_9,64267,2010,0.6 -geohydro_allkm_9,64268,2010,0.6 -geohydro_allkm_9,64269,2010,0.6 -geohydro_allkm_8,64642,2010,2.1 -geohydro_allkm_8,64643,2010,44.0 -geohydro_allkm_7,64644,2010,50.0 -geohydro_allkm_7,64645,2010,46.0 -geohydro_allkm_7,64646,2010,10.0 -geohydro_allkm_9,64647,2010,0.8 -geohydro_allkm_9,64648,2010,0.6 -geohydro_allkm_9,64649,2010,0.6 -geohydro_allkm_9,64650,2010,0.6 -geohydro_allkm_8,65022,2010,3.0 -geohydro_allkm_8,65023,2010,17.0 -geohydro_allkm_7,65024,2010,42.0 -geohydro_allkm_7,65025,2010,42.0 -geohydro_allkm_7,65026,2010,10.7 -geohydro_allkm_8,65027,2010,1.0 -geohydro_allkm_9,65028,2010,0.9 -geohydro_allkm_9,65029,2010,0.6 -geohydro_allkm_9,65030,2010,0.6 -geohydro_allkm_9,65031,2010,0.6 -geohydro_allkm_9,65401,2010,3.0 -geohydro_allkm_8,65402,2010,3.0 -geohydro_allkm_8,65403,2010,10.7 -geohydro_allkm_8,65404,2010,10.7 -geohydro_allkm_7,65405,2010,10.7 -geohydro_allkm_7,65406,2010,10.7 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-geohydro_allkm_9,38797,2038,10.1 -geohydro_allkm_9,38798,2038,10.1 -geohydro_allkm_9,39556,2038,10.1 -geohydro_allkm_9,39557,2038,10.1 -geohydro_allkm_7,65026,2038,10.7 -geohydro_allkm_8,65403,2038,10.7 -geohydro_allkm_8,65404,2038,10.7 -geohydro_allkm_7,65405,2038,10.7 -geohydro_allkm_7,65406,2038,10.7 -geohydro_allkm_8,66163,2038,12.0 -geohydro_allkm_9,33104,2039,13.0 -geohydro_allkm_9,33483,2039,13.0 -geohydro_allkm_9,33484,2039,13.0 -geohydro_allkm_9,38417,2039,10.1 -geohydro_allkm_10,38418,2039,10.1 -geohydro_allkm_9,38797,2039,10.1 -geohydro_allkm_9,38798,2039,10.1 -geohydro_allkm_9,39556,2039,10.1 -geohydro_allkm_9,39557,2039,10.1 -geohydro_allkm_7,65026,2039,10.7 -geohydro_allkm_8,65403,2039,10.7 -geohydro_allkm_8,65404,2039,10.7 -geohydro_allkm_7,65405,2039,10.7 -geohydro_allkm_7,65406,2039,10.7 diff --git a/inputs/capacity_exogenous/exog_cap_geohydro_reference.csv b/inputs/capacity_exogenous/exog_cap_geohydro_reference.csv deleted file mode 100644 index 8c276d8b..00000000 --- a/inputs/capacity_exogenous/exog_cap_geohydro_reference.csv +++ /dev/null @@ -1,3231 +0,0 @@ -*tech,year,sc_point_gid,capacity -geohydro_allkm_9,2010,31618,10.0 -geohydro_allkm_9,2010,33104,13.0 -geohydro_allkm_9,2010,33483,13.0 -geohydro_allkm_9,2010,33484,13.0 -geohydro_allkm_9,2010,34609,1.1 -geohydro_allkm_9,2010,34613,0.9 -geohydro_allkm_9,2010,34614,0.9 -geohydro_allkm_9,2010,34989,1.1 -geohydro_allkm_10,2010,35373,0.6 -geohydro_allkm_10,2010,35374,0.9 -geohydro_allkm_9,2010,36153,12.8 -geohydro_allkm_9,2010,36895,4.3 -geohydro_allkm_9,2010,37274,7.5 -geohydro_allkm_9,2010,37276,7.5 -geohydro_allkm_9,2010,37283,8.81 -geohydro_allkm_9,2010,37284,8.07 -geohydro_allkm_9,2010,37625,9.0 -geohydro_allkm_9,2010,37626,9.0 -geohydro_allkm_9,2010,37627,19.0 -geohydro_allkm_9,2010,37648,0.9 -geohydro_allkm_9,2010,37649,5.4 -geohydro_allkm_9,2010,37650,0.9 -geohydro_allkm_9,2010,37654,6.3 -geohydro_allkm_9,2010,37655,10.0 -geohydro_allkm_9,2010,37656,7.3 -geohydro_allkm_9,2010,37657,0.9 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-geohydro_allkm_9,2039,39557,10.1 -geohydro_allkm_7,2039,65026,10.7 -geohydro_allkm_8,2039,65403,10.7 -geohydro_allkm_8,2039,65404,10.7 -geohydro_allkm_7,2039,65405,10.7 -geohydro_allkm_7,2039,65406,10.7 diff --git a/inputs/capacity_exogenous/exog_cap_upv_limited.csv b/inputs/capacity_exogenous/exog_cap_upv_limited.csv deleted file mode 100644 index 6db8be14..00000000 --- a/inputs/capacity_exogenous/exog_cap_upv_limited.csv +++ /dev/null @@ -1,1496 +0,0 @@ -*tech,year,sc_point_gid,capacity -upv_1,2010,48781,0.4 -upv_3,2010,84310,0.9 -upv_3,2010,85680,1.4 -upv_4,2010,86359,0.5 -upv_4,2010,86362,1.0 -upv_4,2010,87047,1.2 -upv_4,2010,87733,2.0 -upv_3,2010,89096,0.9 -upv_4,2010,89781,1.0 -upv_1,2010,90103,0.9 -upv_4,2010,90462,0.5 -upv_4,2010,91147,0.7 -upv_4,2010,94564,0.5 -upv_4,2010,95247,0.3 -upv_4,2010,95248,0.5 -upv_4,2010,95939,3.0 -upv_4,2010,96617,0.9 -upv_4,2010,97298,0.3 -upv_4,2010,97301,1.0 -upv_4,2010,97982,0.5 -upv_4,2010,97986,1.1 -upv_4,2010,98669,1.0 -upv_1,2010,99683,3.0 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-upv_1,2036,48781,0.4 -upv_3,2036,84310,0.9 -upv_3,2036,85680,1.4 -upv_4,2036,86359,0.5 -upv_4,2036,86362,1.0 -upv_4,2036,87047,1.2 -upv_4,2036,87733,2.0 -upv_3,2036,89096,0.9 -upv_4,2036,89781,1.0 -upv_1,2036,90103,0.9 -upv_4,2036,90462,0.5 -upv_4,2036,91147,0.7 -upv_4,2036,94564,0.5 -upv_4,2036,95247,0.3 -upv_4,2036,95939,3.0 -upv_4,2036,96617,0.9 -upv_4,2036,97298,0.3 -upv_4,2036,97301,1.0 -upv_4,2036,97982,0.5 -upv_4,2036,97986,1.1 -upv_4,2036,98669,1.0 -upv_1,2036,99683,3.0 -upv_4,2036,101403,0.9 -upv_4,2036,102084,0.4 -upv_1,2036,102329,9.0 -upv_4,2036,104135,0.3 -upv_4,2036,106189,0.9 -upv_3,2036,110429,1.5 -upv_4,2036,113026,0.9 -upv_5,2036,113707,0.4 -upv_4,2036,113710,0.9 -upv_4,2036,115758,0.3 -upv_4,2036,122598,0.8 -upv_5,2036,123282,0.9 -upv_5,2036,125333,0.9 -upv_4,2036,126161,1.9 -upv_5,2036,126751,10.0 -upv_4,2036,128894,0.1 -upv_4,2036,129578,0.4 -upv_4,2036,129582,5.4 -upv_4,2036,130262,0.9 -upv_4,2036,130263,1.5 -upv_5,2036,136294,21.0 -upv_2,2036,137257,1.0 -upv_2,2036,138622,0.5 -upv_2,2036,139990,0.5 -upv_5,2036,147307,3.0 -upv_4,2036,194735,25.0 -upv_1,2037,48781,0.4 -upv_3,2037,84310,0.9 -upv_3,2037,85680,1.4 -upv_4,2037,86359,0.5 -upv_4,2037,86362,1.0 -upv_4,2037,87047,1.2 -upv_4,2037,87733,2.0 -upv_3,2037,89096,0.9 -upv_4,2037,89781,1.0 -upv_1,2037,90103,0.9 -upv_4,2037,90462,0.5 -upv_4,2037,91147,0.7 -upv_4,2037,94564,0.5 -upv_4,2037,95247,0.3 -upv_4,2037,95939,3.0 -upv_4,2037,96617,0.9 -upv_4,2037,97298,0.3 -upv_4,2037,97301,1.0 -upv_4,2037,97982,0.5 -upv_4,2037,97986,1.1 -upv_4,2037,98669,1.0 -upv_1,2037,99683,3.0 -upv_4,2037,101403,0.9 -upv_4,2037,102084,0.4 -upv_1,2037,102329,9.0 -upv_4,2037,104135,0.3 -upv_4,2037,106189,0.9 -upv_3,2037,110429,1.5 -upv_4,2037,113026,0.9 -upv_5,2037,113707,0.4 -upv_4,2037,113710,0.9 -upv_4,2037,115758,0.3 -upv_4,2037,122598,0.8 -upv_5,2037,125333,0.9 -upv_4,2037,126161,1.9 -upv_5,2037,126751,10.0 -upv_4,2037,128894,0.1 -upv_4,2037,129578,0.4 -upv_4,2037,129582,5.4 -upv_4,2037,130262,0.9 -upv_4,2037,130263,1.5 -upv_5,2037,136294,21.0 -upv_2,2037,137257,1.0 -upv_2,2037,138622,0.5 -upv_2,2037,139990,0.5 -upv_5,2037,147307,3.0 -upv_4,2037,194735,25.0 -upv_3,2038,85680,1.4 -upv_4,2038,86359,0.5 -upv_4,2038,87047,1.2 -upv_4,2038,87733,2.0 -upv_3,2038,89096,0.9 -upv_4,2038,89781,1.0 -upv_1,2038,90103,0.9 -upv_4,2038,91147,0.7 -upv_4,2038,95247,0.3 -upv_4,2038,95939,3.0 -upv_4,2038,96617,0.9 -upv_4,2038,97298,0.3 -upv_4,2038,97301,1.0 -upv_4,2038,97982,0.5 -upv_4,2038,97986,1.1 -upv_4,2038,98669,1.0 -upv_1,2038,99683,3.0 -upv_4,2038,102084,0.4 -upv_1,2038,102329,9.0 -upv_4,2038,104135,0.3 -upv_4,2038,106189,0.9 -upv_3,2038,110429,1.5 -upv_4,2038,113026,0.9 -upv_5,2038,113707,0.4 -upv_4,2038,113710,0.9 -upv_4,2038,115758,0.3 -upv_4,2038,122598,0.8 -upv_4,2038,126161,1.9 -upv_5,2038,126751,10.0 -upv_4,2038,129578,0.4 -upv_4,2038,130262,0.9 -upv_5,2038,136294,21.0 -upv_2,2038,137257,1.0 -upv_2,2038,138622,0.5 -upv_2,2038,139990,0.5 -upv_5,2038,147307,3.0 -upv_4,2038,194735,25.0 -upv_3,2039,85680,1.4 -upv_4,2039,86359,0.5 -upv_4,2039,87047,1.2 -upv_4,2039,87733,2.0 -upv_4,2039,89781,1.0 -upv_1,2039,90103,0.9 -upv_4,2039,91147,0.7 -upv_4,2039,95939,3.0 -upv_4,2039,97301,1.0 -upv_4,2039,97982,0.5 -upv_1,2039,102329,9.0 -upv_3,2039,110429,1.5 -upv_4,2039,113026,0.9 -upv_4,2039,113710,0.9 -upv_4,2039,122598,0.8 -upv_4,2039,129578,0.4 -upv_4,2039,130262,0.9 -upv_5,2039,136294,21.0 -upv_5,2039,147307,3.0 -upv_4,2039,194735,25.0 diff --git a/inputs/capacity_exogenous/exog_cap_upv_open.csv b/inputs/capacity_exogenous/exog_cap_upv_open.csv deleted file mode 100644 index 0886870e..00000000 --- a/inputs/capacity_exogenous/exog_cap_upv_open.csv +++ /dev/null @@ -1,1526 +0,0 @@ -*tech,year,sc_point_gid,capacity -upv_1,2010,52200,0.4 -upv_1,2010,98999,3.0 -upv_2,2010,102419,0.9 -upv_4,2010,103504,10.0 -upv_2,2010,105841,2.3 -upv_2,2010,107802,9.0 -upv_4,2010,109747,1.9 -upv_5,2010,110303,0.5 -upv_5,2010,111674,0.9 -upv_5,2010,113043,1.0 -upv_5,2010,113725,0.7 -upv_5,2010,114409,0.9 -upv_5,2010,114414,1.4 -upv_5,2010,115091,0.5 -upv_5,2010,115774,0.5 -upv_4,2010,117140,0.3 -upv_5,2010,117144,0.9 -upv_5,2010,117831,1.1 -upv_5,2010,117832,1.2 -upv_5,2010,117837,2.0 -upv_4,2010,119321,1.5 -upv_4,2010,119875,0.4 -upv_4,2010,119876,0.5 -upv_4,2010,121244,0.5 -upv_4,2010,121375,5.4 -upv_4,2010,122610,0.4 -upv_4,2010,123294,0.5 -upv_4,2010,123298,0.9 -upv_4,2010,124661,0.3 -upv_4,2010,125349,0.8 -upv_5,2010,127396,0.3 -upv_5,2010,127403,1.0 -upv_5,2010,129464,3.0 -upv_5,2010,130131,0.3 -upv_5,2010,130136,1.0 -upv_4,2010,130263,0.1 -upv_5,2010,130819,0.9 -upv_5,2010,130821,1.0 -upv_4,2010,130947,0.4 -upv_4,2010,130948,1.5 -upv_4,2010,131631,0.9 -upv_2,2010,131794,0.5 -upv_2,2010,132478,0.5 -upv_2,2010,132480,1.0 -upv_5,2010,132947,3.0 -upv_5,2010,133554,0.9 -upv_5,2010,134238,0.9 -upv_5,2010,136289,0.9 -upv_5,2010,136973,0.9 -upv_5,2010,137681,21.0 -upv_5,2010,139101,0.2 -upv_5,2010,142521,3.7 -upv_5,2010,146624,3.0 -upv_4,2010,198159,25.0 -upv_1,2011,52200,0.4 -upv_1,2011,98999,3.0 -upv_2,2011,102419,0.9 -upv_4,2011,103504,10.0 -upv_2,2011,105841,2.3 -upv_2,2011,107802,9.0 -upv_4,2011,109747,1.9 -upv_5,2011,110303,0.5 -upv_5,2011,111674,0.9 -upv_5,2011,113043,1.0 -upv_5,2011,113725,0.7 -upv_5,2011,114409,0.9 -upv_5,2011,114414,1.4 -upv_5,2011,115091,0.5 -upv_5,2011,115774,0.5 -upv_4,2011,117140,0.3 -upv_5,2011,117144,0.9 -upv_5,2011,117831,1.1 -upv_5,2011,117832,1.2 -upv_5,2011,117837,2.0 -upv_4,2011,119321,1.5 -upv_4,2011,119875,0.4 -upv_4,2011,119876,0.5 -upv_4,2011,121244,0.5 -upv_4,2011,121375,5.4 -upv_4,2011,122610,0.4 -upv_4,2011,123294,0.5 -upv_4,2011,123298,0.9 -upv_4,2011,124661,0.3 -upv_4,2011,125349,0.8 -upv_5,2011,127396,0.3 -upv_5,2011,127403,1.0 -upv_5,2011,129464,3.0 -upv_5,2011,130131,0.3 -upv_5,2011,130136,1.0 -upv_4,2011,130263,0.1 -upv_5,2011,130819,0.9 -upv_5,2011,130821,1.0 -upv_4,2011,130947,0.4 -upv_4,2011,130948,1.5 -upv_4,2011,131631,0.9 -upv_2,2011,131794,0.5 -upv_2,2011,132478,0.5 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-upv_5,2033,143833,21.0 -upv_5,2033,154830,3.0 -upv_4,2033,194737,25.0 -upv_1,2034,46046,0.4 -upv_1,2034,98999,3.0 -upv_1,2034,100961,9.0 -upv_1,2034,102419,0.9 -upv_2,2034,104472,2.3 -upv_3,2034,109747,1.9 -upv_5,2034,110304,0.9 -upv_5,2034,111673,1.0 -upv_5,2034,112357,1.0 -upv_5,2034,112359,1.2 -upv_4,2034,113035,0.5 -upv_5,2034,113044,1.4 -upv_4,2034,115090,0.7 -upv_4,2034,115774,0.9 -upv_4,2034,117137,0.3 -upv_5,2034,117151,2.0 -upv_4,2034,117826,1.0 -upv_5,2034,118547,10.0 -upv_4,2034,119193,0.9 -upv_4,2034,119321,1.5 -upv_4,2034,119872,0.3 -upv_4,2034,120557,0.5 -upv_4,2034,121247,1.1 -upv_4,2034,121375,5.4 -upv_4,2034,121928,0.9 -upv_4,2034,122607,0.4 -upv_4,2034,123976,0.5 -upv_4,2034,123979,0.8 -upv_5,2034,124658,0.3 -upv_5,2034,127393,0.3 -upv_5,2034,128084,1.0 -upv_5,2034,128761,0.5 -upv_5,2034,128778,3.0 -upv_5,2034,129449,0.9 -upv_4,2034,130263,0.1 -upv_4,2034,130947,0.4 -upv_4,2034,130948,1.5 -upv_4,2034,131631,0.9 -upv_5,2034,132184,0.9 -upv_5,2034,132863,0.4 -upv_5,2034,132868,0.9 -upv_2,2034,134529,0.5 -upv_4,2034,134919,0.9 -upv_2,2034,135213,0.5 -upv_2,2034,135215,1.0 -upv_4,2034,135603,0.9 -upv_5,2034,143833,21.0 -upv_5,2034,154830,3.0 -upv_4,2034,194737,25.0 -upv_1,2035,46046,0.4 -upv_1,2035,98999,3.0 -upv_1,2035,100961,9.0 -upv_1,2035,102419,0.9 -upv_2,2035,104472,2.3 -upv_3,2035,109747,1.9 -upv_5,2035,110304,0.9 -upv_5,2035,111673,1.0 -upv_5,2035,112357,1.0 -upv_5,2035,112359,1.2 -upv_4,2035,113035,0.5 -upv_5,2035,113044,1.4 -upv_4,2035,115090,0.7 -upv_4,2035,115774,0.9 -upv_4,2035,117137,0.3 -upv_5,2035,117151,2.0 -upv_4,2035,117826,1.0 -upv_5,2035,118547,10.0 -upv_4,2035,119193,0.9 -upv_4,2035,119321,1.5 -upv_4,2035,119872,0.3 -upv_4,2035,120557,0.5 -upv_4,2035,121247,1.1 -upv_4,2035,121375,5.4 -upv_4,2035,121928,0.9 -upv_4,2035,122607,0.4 -upv_4,2035,123976,0.5 -upv_4,2035,123979,0.8 -upv_5,2035,124658,0.3 -upv_5,2035,127393,0.3 -upv_5,2035,128084,1.0 -upv_5,2035,128761,0.5 -upv_5,2035,128778,3.0 -upv_5,2035,129449,0.9 -upv_4,2035,130263,0.1 -upv_4,2035,130947,0.4 -upv_4,2035,130948,1.5 -upv_4,2035,131631,0.9 -upv_5,2035,132184,0.9 -upv_5,2035,132863,0.4 -upv_5,2035,132868,0.9 -upv_2,2035,134529,0.5 -upv_4,2035,134919,0.9 -upv_2,2035,135213,0.5 -upv_2,2035,135215,1.0 -upv_4,2035,135603,0.9 -upv_5,2035,143833,21.0 -upv_5,2035,154830,3.0 -upv_4,2035,194737,25.0 -upv_1,2036,46046,0.4 -upv_1,2036,98999,3.0 -upv_1,2036,100961,9.0 -upv_1,2036,102419,0.9 -upv_2,2036,104472,2.3 -upv_3,2036,109747,1.9 -upv_5,2036,110304,0.9 -upv_5,2036,111673,1.0 -upv_5,2036,112357,1.0 -upv_5,2036,112359,1.2 -upv_4,2036,113035,0.5 -upv_5,2036,113044,1.4 -upv_4,2036,115090,0.7 -upv_4,2036,115774,0.9 -upv_4,2036,117137,0.3 -upv_5,2036,117151,2.0 -upv_4,2036,117826,1.0 -upv_5,2036,118547,10.0 -upv_4,2036,119193,0.9 -upv_4,2036,119321,1.5 -upv_4,2036,119872,0.3 -upv_4,2036,120557,0.5 -upv_4,2036,121247,1.1 -upv_4,2036,121375,5.4 -upv_4,2036,121928,0.9 -upv_4,2036,122607,0.4 -upv_4,2036,123976,0.5 -upv_4,2036,123979,0.8 -upv_5,2036,124658,0.3 -upv_5,2036,127393,0.3 -upv_5,2036,128084,1.0 -upv_5,2036,128761,0.5 -upv_5,2036,128778,3.0 -upv_5,2036,129449,0.9 -upv_4,2036,130263,0.1 -upv_4,2036,130947,0.4 -upv_4,2036,130948,1.5 -upv_4,2036,131631,0.9 -upv_5,2036,132184,0.9 -upv_5,2036,132863,0.4 -upv_5,2036,132868,0.9 -upv_2,2036,134529,0.5 -upv_4,2036,134919,0.9 -upv_2,2036,135213,0.5 -upv_2,2036,135215,1.0 -upv_4,2036,135603,0.9 -upv_5,2036,143833,21.0 -upv_5,2036,154830,3.0 -upv_4,2036,194737,25.0 -upv_1,2037,46046,0.4 -upv_1,2037,98999,3.0 -upv_1,2037,100961,9.0 -upv_1,2037,102419,0.9 -upv_2,2037,104472,2.3 -upv_3,2037,109747,1.9 -upv_5,2037,110304,0.9 -upv_5,2037,111673,1.0 -upv_5,2037,112357,1.0 -upv_5,2037,112359,1.2 -upv_4,2037,113035,0.5 -upv_5,2037,113044,1.4 -upv_4,2037,115090,0.7 -upv_4,2037,115774,0.9 -upv_4,2037,117137,0.3 -upv_5,2037,117151,2.0 -upv_4,2037,117826,1.0 -upv_5,2037,118547,10.0 -upv_4,2037,119193,0.9 -upv_4,2037,119321,1.5 -upv_4,2037,119872,0.3 -upv_4,2037,120557,0.5 -upv_4,2037,121247,1.1 -upv_4,2037,121375,5.4 -upv_4,2037,121928,0.9 -upv_4,2037,122607,0.4 -upv_4,2037,123976,0.5 -upv_4,2037,123979,0.8 -upv_5,2037,124658,0.3 -upv_5,2037,127393,0.3 -upv_5,2037,128084,1.0 -upv_5,2037,128761,0.5 -upv_5,2037,128778,3.0 -upv_5,2037,129449,0.9 -upv_4,2037,130263,0.1 -upv_4,2037,130947,0.4 -upv_4,2037,130948,1.5 -upv_4,2037,131631,0.9 -upv_5,2037,132184,0.9 -upv_5,2037,132863,0.4 -upv_2,2037,134529,0.5 -upv_4,2037,134919,0.9 -upv_2,2037,135213,0.5 -upv_2,2037,135215,1.0 -upv_4,2037,135603,0.9 -upv_5,2037,143833,21.0 -upv_5,2037,154830,3.0 -upv_4,2037,194737,25.0 -upv_1,2038,98999,3.0 -upv_1,2038,100961,9.0 -upv_1,2038,102419,0.9 -upv_2,2038,104472,2.3 -upv_3,2038,109747,1.9 -upv_5,2038,112357,1.0 -upv_5,2038,112359,1.2 -upv_4,2038,113035,0.5 -upv_5,2038,113044,1.4 -upv_4,2038,115090,0.7 -upv_4,2038,115774,0.9 -upv_4,2038,117137,0.3 -upv_5,2038,117151,2.0 -upv_4,2038,117826,1.0 -upv_5,2038,118547,10.0 -upv_4,2038,119193,0.9 -upv_4,2038,119321,1.5 -upv_4,2038,119872,0.3 -upv_4,2038,121247,1.1 -upv_4,2038,122607,0.4 -upv_4,2038,123979,0.8 -upv_5,2038,124658,0.3 -upv_5,2038,127393,0.3 -upv_5,2038,128084,1.0 -upv_5,2038,128761,0.5 -upv_5,2038,128778,3.0 -upv_5,2038,129449,0.9 -upv_4,2038,130947,0.4 -upv_4,2038,131631,0.9 -upv_5,2038,132863,0.4 -upv_2,2038,134529,0.5 -upv_4,2038,134919,0.9 -upv_2,2038,135213,0.5 -upv_2,2038,135215,1.0 -upv_4,2038,135603,0.9 -upv_5,2038,143833,21.0 -upv_5,2038,154830,3.0 -upv_4,2038,194737,25.0 -upv_1,2039,100961,9.0 -upv_1,2039,102419,0.9 -upv_2,2039,104472,2.3 -upv_5,2039,112359,1.2 -upv_4,2039,113035,0.5 -upv_5,2039,113044,1.4 -upv_4,2039,115090,0.7 -upv_5,2039,117151,2.0 -upv_4,2039,117826,1.0 -upv_4,2039,119321,1.5 -upv_4,2039,123979,0.8 -upv_5,2039,128084,1.0 -upv_5,2039,128761,0.5 -upv_5,2039,128778,3.0 -upv_5,2039,129449,0.9 -upv_4,2039,130947,0.4 -upv_4,2039,131631,0.9 -upv_4,2039,135603,0.9 -upv_5,2039,143833,21.0 -upv_5,2039,154830,3.0 -upv_4,2039,194737,25.0 diff --git a/inputs/capacity_exogenous/exog_cap_wind-ons_limited.csv b/inputs/capacity_exogenous/exog_cap_wind-ons_limited.csv deleted file mode 100644 index a24d169a..00000000 --- a/inputs/capacity_exogenous/exog_cap_wind-ons_limited.csv +++ /dev/null @@ -1,21187 +0,0 @@ -*tech,year,sc_point_gid,capacity -wind-ons_1,2010,45361,60.0 -wind-ons_1,2010,46046,60.0 -wind-ons_1,2010,46728,44.0 -wind-ons_2,2010,49465,42.0 -wind-ons_6,2010,52969,9.7 -wind-ons_6,2010,54250,60.0 -wind-ons_4,2010,54935,168.6 -wind-ons_5,2010,55021,101.4 -wind-ons_6,2010,55705,104.2 -wind-ons_6,2010,55748,31.5 -wind-ons_5,2010,56302,156.0 -wind-ons_6,2010,56985,38.9 -wind-ons_5,2010,56986,186.0 -wind-ons_6,2010,57116,40.5 -wind-ons_7,2010,57316,42.0 -wind-ons_6,2010,57669,122.8 -wind-ons_6,2010,57670,66.0 -wind-ons_6,2010,57831,0.93 -wind-ons_5,2010,58352,7.2 -wind-ons_5,2010,58354,96.0 -wind-ons_7,2010,58484,40.5 -wind-ons_6,2010,58515,0.93 -wind-ons_7,2010,58516,1.3 -wind-ons_6,2010,59036,78.0 -wind-ons_4,2010,59037,149.4 -wind-ons_6,2010,59199,0.93 -wind-ons_7,2010,59201,2.0 -wind-ons_4,2010,59720,35.0 -wind-ons_3,2010,59721,13.0 -wind-ons_6,2010,59883,0.93 -wind-ons_7,2010,59885,2.0 -wind-ons_7,2010,59886,2.0 -wind-ons_7,2010,59888,12.0 -wind-ons_6,2010,59889,30.0 -wind-ons_7,2010,59899,126.0 -wind-ons_7,2010,60052,4.5 -wind-ons_1,2010,60405,138.0 -wind-ons_6,2010,60567,0.93 -wind-ons_7,2010,60569,2.0 -wind-ons_7,2010,60572,11.8 -wind-ons_7,2010,60583,79.5 -wind-ons_8,2010,60738,57.0 -wind-ons_2,2010,61088,136.3 -wind-ons_2,2010,61089,124.2 -wind-ons_6,2010,61252,1.0 -wind-ons_6,2010,61253,1.9 -wind-ons_7,2010,61255,4.2 -wind-ons_7,2010,61256,11.2 -wind-ons_8,2010,61423,66.0 -wind-ons_7,2010,61935,0.93 -wind-ons_7,2010,61936,0.97 -wind-ons_6,2010,61937,1.7 -wind-ons_7,2010,61940,10.4 -wind-ons_7,2010,61941,2.0 -wind-ons_7,2010,62105,4.5 -wind-ons_3,2010,62454,8.0 -wind-ons_2,2010,62455,94.0 -wind-ons_3,2010,62456,176.9 -wind-ons_7,2010,62619,0.93 -wind-ons_8,2010,62620,0.97 -wind-ons_7,2010,62621,1.7 -wind-ons_8,2010,62622,2.0 -wind-ons_7,2010,62626,91.1 -wind-ons_1,2010,63138,9.9 -wind-ons_3,2010,63139,76.5 -wind-ons_8,2010,63303,0.93 -wind-ons_8,2010,63304,0.97 -wind-ons_7,2010,63305,1.7 -wind-ons_6,2010,63306,2.0 -wind-ons_6,2010,63307,3.0 -wind-ons_7,2010,63308,9.2 -wind-ons_8,2010,63310,85.5 -wind-ons_8,2010,63311,100.7 -wind-ons_7,2010,63313,150.0 -wind-ons_6,2010,63987,0.9 -wind-ons_6,2010,63989,1.7 -wind-ons_7,2010,63992,8.4 -wind-ons_7,2010,63993,25.0 -wind-ons_8,2010,63995,100.5 -wind-ons_2,2010,64506,10.0 -wind-ons_8,2010,64596,135.0 -wind-ons_6,2010,64671,0.9 -wind-ons_6,2010,64672,0.97 -wind-ons_6,2010,64673,1.7 -wind-ons_6,2010,64674,2.0 -wind-ons_7,2010,64675,2.1 -wind-ons_6,2010,64676,8.0 -wind-ons_7,2010,64678,51.0 -wind-ons_6,2010,64679,100.5 -wind-ons_6,2010,64680,90.0 -wind-ons_1,2010,65189,3.3 -wind-ons_1,2010,65190,25.0 -wind-ons_2,2010,65191,42.9 -wind-ons_6,2010,65355,0.9 -wind-ons_7,2010,65357,1.7 -wind-ons_6,2010,65358,2.0 -wind-ons_6,2010,65360,5.2 -wind-ons_5,2010,65363,100.0 -wind-ons_1,2010,65874,12.0 -wind-ons_2,2010,65875,49.3 -wind-ons_6,2010,66039,0.9 -wind-ons_7,2010,66040,0.97 -wind-ons_6,2010,66046,49.5 -wind-ons_6,2010,66186,24.0 -wind-ons_8,2010,66692,48.0 -wind-ons_7,2010,66723,0.9 -wind-ons_5,2010,66729,19.98 -wind-ons_5,2010,66866,5.2 -wind-ons_8,2010,67376,48.0 -wind-ons_6,2010,67407,0.9 -wind-ons_7,2010,68061,31.5 -wind-ons_6,2010,68091,0.7 -wind-ons_7,2010,68744,49.5 -wind-ons_6,2010,68775,0.7 -wind-ons_7,2010,68776,0.97 -wind-ons_6,2010,68777,1.5 -wind-ons_4,2010,68778,2.0 -wind-ons_8,2010,68902,40.5 -wind-ons_8,2010,69428,49.5 -wind-ons_8,2010,69429,84.0 -wind-ons_6,2010,69460,0.97 -wind-ons_5,2010,69461,1.5 -wind-ons_4,2010,69462,2.0 -wind-ons_6,2010,69582,20.0 -wind-ons_6,2010,69583,66.0 -wind-ons_9,2010,69587,52.0 -wind-ons_9,2010,70067,30.0 -wind-ons_7,2010,70112,50.6 -wind-ons_8,2010,70113,118.5 -wind-ons_8,2010,70114,12.0 -wind-ons_6,2010,70143,0.4 -wind-ons_5,2010,70144,0.97 -wind-ons_5,2010,70145,1.3 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-wind-ons_8,2011,91356,48.8 -wind-ons_8,2011,91951,48.86 -wind-ons_8,2011,92034,75.0 -wind-ons_8,2011,92036,52.0 -wind-ons_8,2011,92037,104.3 -wind-ons_8,2011,92039,42.0 -wind-ons_6,2011,92158,54.0 -wind-ons_8,2011,92723,60.0 -wind-ons_8,2011,93319,99.0 -wind-ons_7,2011,93402,66.0 -wind-ons_7,2011,93404,69.0 -wind-ons_10,2011,93526,46.5 -wind-ons_9,2011,94056,1.3 -wind-ons_8,2011,94116,42.57 -wind-ons_8,2011,94117,43.7 -wind-ons_10,2011,94203,26.0 -wind-ons_9,2011,94207,27.0 -wind-ons_9,2011,94208,54.0 -wind-ons_8,2011,94687,142.2 -wind-ons_9,2011,94740,1.3 -wind-ons_6,2011,94887,15.0 -wind-ons_9,2011,94892,26.0 -wind-ons_6,2011,94895,48.0 -wind-ons_6,2011,95370,1.8 -wind-ons_8,2011,95459,60.0 -wind-ons_8,2011,95461,199.7 -wind-ons_3,2011,95572,34.5 -wind-ons_6,2011,96054,16.8 -wind-ons_8,2011,96137,35.0 -wind-ons_7,2011,96143,150.0 -wind-ons_10,2011,96258,52.5 -wind-ons_9,2011,96792,8.91 -wind-ons_7,2011,96827,150.0 -wind-ons_8,2011,96828,160.5 -wind-ons_8,2011,96832,84.0 -wind-ons_8,2011,96850,1.5 -wind-ons_8,2011,96940,29.4 -wind-ons_9,2011,96943,64.5 -wind-ons_9,2011,96944,48.0 -wind-ons_6,2011,97422,25.0 -wind-ons_10,2011,97476,8.91 -wind-ons_8,2011,97506,62.2 -wind-ons_8,2011,97513,198.0 -wind-ons_8,2011,97516,60.0 -wind-ons_8,2011,97564,48.0 -wind-ons_9,2011,97624,24.0 -wind-ons_7,2011,97627,30.0 -wind-ons_10,2011,98160,8.91 -wind-ons_8,2011,98189,29.7 -wind-ons_9,2011,98192,72.0 -wind-ons_9,2011,98308,9.0 -wind-ons_7,2011,98309,37.8 -wind-ons_7,2011,98311,32.5 -wind-ons_6,2011,98790,42.0 -wind-ons_10,2011,98845,54.27 -wind-ons_9,2011,98876,27.0 -wind-ons_6,2011,99474,64.08 -wind-ons_9,2011,99529,59.4 -wind-ons_8,2011,99557,21.0 -wind-ons_8,2011,99559,80.0 -wind-ons_8,2011,99560,60.0 -wind-ons_9,2011,99568,42.0 -wind-ons_8,2011,99612,36.0 -wind-ons_9,2011,99677,30.0 -wind-ons_3,2011,100042,17.0 -wind-ons_8,2011,100243,80.0 -wind-ons_8,2011,100244,36.0 -wind-ons_8,2011,100252,114.0 -wind-ons_7,2011,100725,4.5 -wind-ons_8,2011,100925,20.0 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-wind-ons_8,2011,105744,16.2 -wind-ons_8,2011,105765,34.0 -wind-ons_9,2011,106394,0.7 -wind-ons_8,2011,106398,42.0 -wind-ons_8,2011,106449,51.0 -wind-ons_7,2011,106452,60.0 -wind-ons_7,2011,106453,108.0 -wind-ons_8,2011,107080,2.3 -wind-ons_8,2011,107088,30.0 -wind-ons_7,2011,107115,102.0 -wind-ons_7,2011,107136,97.7 -wind-ons_7,2011,107137,56.0 -wind-ons_2,2011,107567,46.9 -wind-ons_8,2011,107696,1.5 -wind-ons_7,2011,107697,221.0 -wind-ons_9,2011,107797,3.0 -wind-ons_8,2011,108380,78.0 -wind-ons_9,2011,108446,0.7 -wind-ons_9,2011,108453,30.0 -wind-ons_9,2011,108480,48.0 -wind-ons_7,2011,108522,1.8 -wind-ons_9,2011,109164,48.0 -wind-ons_2,2011,109236,30.0 -wind-ons_5,2011,109239,60.0 -wind-ons_2,2011,109620,23.6 -wind-ons_8,2011,109848,7.5 -wind-ons_10,2011,109918,60.0 -wind-ons_2,2011,110304,36.0 -wind-ons_3,2011,110305,3.0 -wind-ons_8,2011,110532,10.5 -wind-ons_7,2011,110538,144.0 -wind-ons_8,2011,110555,28.0 -wind-ons_8,2011,110557,42.0 -wind-ons_6,2011,110597,30.0 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-wind-ons_6,2039,170671,30.0 -wind-ons_5,2039,170678,9.0 -wind-ons_6,2039,182966,31.58 -wind-ons_6,2039,183650,60.0 -wind-ons_6,2039,183653,12.0 -wind-ons_7,2039,184337,30.0 -wind-ons_7,2039,185705,54.0 -wind-ons_8,2039,187068,0.92 -wind-ons_6,2039,187086,21.6 -wind-ons_7,2039,187757,54.0 -wind-ons_6,2039,187770,60.0 -wind-ons_7,2039,188436,0.6 -wind-ons_8,2039,188437,59.4 -wind-ons_7,2039,189131,60.0 -wind-ons_7,2039,189804,0.07 -wind-ons_7,2039,189815,120.0 -wind-ons_7,2039,190488,0.07 -wind-ons_8,2039,198699,101.2 -wind-ons_8,2039,199382,75.0 -wind-ons_8,2039,200066,73.5 -wind-ons_8,2039,200750,69.53 -wind-ons_9,2039,203488,120.0 diff --git a/inputs/capacity_exogenous/exog_cap_wind-ons_open.csv b/inputs/capacity_exogenous/exog_cap_wind-ons_open.csv deleted file mode 100644 index 931368d9..00000000 --- a/inputs/capacity_exogenous/exog_cap_wind-ons_open.csv +++ /dev/null @@ -1,15683 +0,0 @@ -*tech,year,sc_point_gid,capacity -wind-ons_2,2010,43995,180.0 -wind-ons_3,2010,44678,44.0 -wind-ons_1,2010,46730,48.6 -wind-ons_2,2010,47413,7.2 -wind-ons_1,2010,48097,95.0 -wind-ons_3,2010,49465,176.9 -wind-ons_6,2010,52200,156.0 -wind-ons_7,2010,52969,9.7 -wind-ons_6,2010,53567,78.0 -wind-ons_6,2010,55619,204.0 -wind-ons_7,2010,55705,104.2 -wind-ons_6,2010,56986,98.9 -wind-ons_6,2010,57670,136.3 -wind-ons_8,2010,58001,42.0 -wind-ons_6,2010,58354,199.0 -wind-ons_7,2010,58527,48.0 -wind-ons_8,2010,59202,0.97 -wind-ons_7,2010,59203,1.3 -wind-ons_8,2010,59204,2.0 -wind-ons_8,2010,59211,102.0 -wind-ons_9,2010,59215,72.0 -wind-ons_8,2010,59370,57.0 -wind-ons_3,2010,59721,94.0 -wind-ons_8,2010,59886,0.97 -wind-ons_8,2010,59887,1.3 -wind-ons_7,2010,59888,2.0 -wind-ons_7,2010,59889,3.8 -wind-ons_8,2010,59890,11.2 -wind-ons_8,2010,59899,133.5 -wind-ons_9,2010,60055,66.0 -wind-ons_2,2010,60405,122.8 -wind-ons_7,2010,60570,0.97 -wind-ons_7,2010,60571,1.3 -wind-ons_7,2010,60572,2.0 -wind-ons_7,2010,60573,3.0 -wind-ons_7,2010,60574,10.4 -wind-ons_8,2010,60575,25.0 -wind-ons_8,2010,60737,4.5 -wind-ons_3,2010,61089,149.4 -wind-ons_7,2010,61254,0.93 -wind-ons_8,2010,61255,1.2 -wind-ons_7,2010,61256,2.0 -wind-ons_8,2010,61261,100.5 -wind-ons_5,2010,61773,262.2 -wind-ons_8,2010,61906,2.6 -wind-ons_7,2010,61938,0.93 -wind-ons_7,2010,61940,2.0 -wind-ons_8,2010,61942,9.8 -wind-ons_8,2010,61943,20.0 -wind-ons_8,2010,61944,51.0 -wind-ons_8,2010,61945,100.5 -wind-ons_8,2010,61946,103.5 -wind-ons_8,2010,62544,30.0 -wind-ons_9,2010,62590,4.5 -wind-ons_7,2010,62622,0.93 -wind-ons_7,2010,62624,2.0 -wind-ons_8,2010,62625,2.1 -wind-ons_8,2010,62626,9.2 -wind-ons_8,2010,62629,100.0 -wind-ons_9,2010,62790,4.5 -wind-ons_3,2010,63140,9.9 -wind-ons_3,2010,63141,100.5 -wind-ons_9,2010,63274,11.9 -wind-ons_6,2010,63306,0.93 -wind-ons_8,2010,63308,1.9 -wind-ons_8,2010,63309,2.1 -wind-ons_9,2010,63310,8.4 -wind-ons_9,2010,63311,19.98 -wind-ons_8,2010,63312,49.5 -wind-ons_7,2010,63314,100.7 -wind-ons_5,2010,63825,102.9 -wind-ons_9,2010,63912,101.4 -wind-ons_9,2010,63958,18.0 -wind-ons_7,2010,63990,0.93 -wind-ons_7,2010,63991,0.97 -wind-ons_8,2010,63992,1.7 -wind-ons_8,2010,63993,2.1 -wind-ons_8,2010,63994,8.0 -wind-ons_6,2010,63997,99.0 -wind-ons_1,2010,64508,25.0 -wind-ons_3,2010,64510,41.0 -wind-ons_8,2010,64596,135.0 -wind-ons_7,2010,64674,0.93 -wind-ons_7,2010,64675,0.97 -wind-ons_7,2010,64676,1.7 -wind-ons_7,2010,64677,2.0 -wind-ons_8,2010,64678,5.2 -wind-ons_2,2010,65192,81.0 -wind-ons_8,2010,65326,31.5 -wind-ons_7,2010,65358,0.93 -wind-ons_8,2010,65359,0.97 -wind-ons_7,2010,65360,1.7 -wind-ons_8,2010,65361,2.0 -wind-ons_6,2010,65363,15.6 -wind-ons_8,2010,66042,0.93 -wind-ons_7,2010,66043,0.97 -wind-ons_7,2010,66044,1.7 -wind-ons_7,2010,66045,2.0 -wind-ons_6,2010,66046,4.2 -wind-ons_4,2010,66560,102.3 -wind-ons_8,2010,66694,40.5 -wind-ons_7,2010,66726,0.93 -wind-ons_8,2010,66727,0.97 -wind-ons_7,2010,66728,1.7 -wind-ons_5,2010,67244,125.4 -wind-ons_8,2010,67378,40.5 -wind-ons_8,2010,67379,118.5 -wind-ons_8,2010,67410,0.9 -wind-ons_8,2010,67411,0.97 -wind-ons_6,2010,67412,1.7 -wind-ons_7,2010,67538,54.0 -wind-ons_5,2010,67927,72.0 -wind-ons_6,2010,67928,163.3 -wind-ons_6,2010,67929,180.0 -wind-ons_8,2010,68094,0.9 -wind-ons_9,2010,68095,0.97 -wind-ons_6,2010,68222,30.55 -wind-ons_3,2010,68610,6.6 -wind-ons_8,2010,68746,48.0 -wind-ons_8,2010,68747,149.0 -wind-ons_6,2010,68778,0.9 -wind-ons_6,2010,68906,16.5 -wind-ons_4,2010,68919,5.2 -wind-ons_1,2010,69294,9.9 -wind-ons_2,2010,69295,100.8 -wind-ons_8,2010,69430,48.0 -wind-ons_8,2010,69432,180.0 -wind-ons_5,2010,69462,0.9 -wind-ons_5,2010,69591,81.0 -wind-ons_1,2010,69979,102.9 -wind-ons_9,2010,70115,115.5 -wind-ons_5,2010,70146,0.7 -wind-ons_2,2010,70662,25.2 -wind-ons_8,2010,70798,49.5 -wind-ons_8,2010,70799,120.0 -wind-ons_7,2010,70830,0.7 -wind-ons_5,2010,70959,45.5 -wind-ons_6,2010,71345,1.7 -wind-ons_8,2010,71482,49.5 -wind-ons_8,2010,71483,148.5 -wind-ons_7,2010,71643,16.5 -wind-ons_6,2010,71644,106.5 -wind-ons_8,2010,72166,50.6 -wind-ons_7,2010,72198,0.4 -wind-ons_5,2010,72328,97.5 -wind-ons_8,2010,72850,61.5 -wind-ons_5,2010,73696,45.5 -wind-ons_5,2010,74380,30.0 -wind-ons_5,2010,74764,5.0 -wind-ons_3,2010,74765,98.7 -wind-ons_4,2010,75065,100.5 -wind-ons_4,2010,75448,9.9 -wind-ons_3,2010,75449,100.7 -wind-ons_7,2010,76334,11.0 -wind-ons_6,2010,76433,68.5 -wind-ons_4,2010,76816,24.6 -wind-ons_6,2010,76857,8.4 -wind-ons_7,2010,77117,30.55 -wind-ons_3,2010,77500,76.5 -wind-ons_9,2010,77705,145.2 -wind-ons_6,2010,77801,6.6 -wind-ons_4,2010,77802,100.5 -wind-ons_3,2010,78183,8.0 -wind-ons_3,2010,78225,21.0 -wind-ons_8,2010,78326,51.0 -wind-ons_8,2010,78504,24.0 -wind-ons_9,2010,78957,17.0 -wind-ons_5,2010,79170,14.5 -wind-ons_4,2010,79551,10.0 -wind-ons_8,2010,79641,25.0 -wind-ons_9,2010,79755,44.55 -wind-ons_9,2010,79756,67.7 -wind-ons_4,2010,79854,34.5 -wind-ons_3,2010,80235,41.0 -wind-ons_8,2010,80325,39.0 -wind-ons_9,2010,80439,42.57 -wind-ons_5,2010,80538,11.5 -wind-ons_8,2010,81009,99.0 -wind-ons_9,2010,81123,30.0 -wind-ons_9,2010,81124,54.0 -wind-ons_4,2010,81223,87.5 -wind-ons_3,2010,81602,8.3 -wind-ons_6,2010,81693,99.0 -wind-ons_7,2010,81908,112.0 -wind-ons_2,2010,82328,21.0 -wind-ons_9,2010,82491,13.5 -wind-ons_9,2010,82523,1.8 -wind-ons_9,2010,82524,59.0 -wind-ons_8,2010,82591,37.5 -wind-ons_9,2010,82610,1.5 -wind-ons_9,2010,83175,12.9 -wind-ons_10,2010,83295,1.8 -wind-ons_8,2010,83827,0.97 -wind-ons_7,2010,83828,1.3 -wind-ons_9,2010,83859,11.88 -wind-ons_3,2010,84337,3.3 -wind-ons_6,2010,84428,1.3 -wind-ons_8,2010,84510,0.04 -wind-ons_7,2010,84511,0.97 -wind-ons_7,2010,84512,1.3 -wind-ons_6,2010,84513,2.0 -wind-ons_9,2010,84543,3.6 -wind-ons_6,2010,85112,12.14 -wind-ons_8,2010,85194,0.02 -wind-ons_8,2010,85195,0.93 -wind-ons_8,2010,85196,1.3 -wind-ons_7,2010,85197,2.0 -wind-ons_7,2010,85198,2.1 -wind-ons_5,2010,85796,19.5 -wind-ons_9,2010,85879,0.93 -wind-ons_8,2010,85880,1.3 -wind-ons_8,2010,85881,1.7 -wind-ons_8,2010,85882,2.0 -wind-ons_8,2010,85945,69.0 -wind-ons_7,2010,86012,20.0 -wind-ons_4,2010,86389,24.0 -wind-ons_5,2010,86480,25.0 -wind-ons_9,2010,86563,0.93 -wind-ons_9,2010,86565,1.7 -wind-ons_8,2010,86566,2.0 -wind-ons_8,2010,86567,4.2 -wind-ons_8,2010,86568,13.5 -wind-ons_7,2010,86569,43.06 -wind-ons_5,2010,87164,29.4 -wind-ons_9,2010,87247,0.93 -wind-ons_8,2010,87248,1.0 -wind-ons_8,2010,87249,1.7 -wind-ons_8,2010,87250,2.0 -wind-ons_7,2010,87251,4.2 -wind-ons_7,2010,87254,98.8 -wind-ons_8,2010,87313,51.2 -wind-ons_8,2010,87931,0.93 -wind-ons_8,2010,87932,1.0 -wind-ons_7,2010,87933,1.5 -wind-ons_7,2010,87934,2.0 -wind-ons_5,2010,87936,12.0 -wind-ons_6,2010,87937,32.0 -wind-ons_5,2010,88532,99.0 -wind-ons_9,2010,88615,0.9 -wind-ons_8,2010,88616,0.97 -wind-ons_8,2010,88617,1.5 -wind-ons_8,2010,88618,2.0 -wind-ons_7,2010,88620,11.8 -wind-ons_6,2010,88622,91.1 -wind-ons_6,2010,89216,99.0 -wind-ons_9,2010,89299,0.9 -wind-ons_9,2010,89300,0.97 -wind-ons_9,2010,89301,1.3 -wind-ons_9,2010,89302,2.0 -wind-ons_9,2010,89303,3.9 -wind-ons_8,2010,89304,11.6 -wind-ons_7,2010,89306,85.5 -wind-ons_3,2010,89851,64.5 -wind-ons_8,2010,89953,40.5 -wind-ons_4,2010,90534,18.9 -wind-ons_9,2010,90584,142.2 -wind-ons_9,2010,90637,50.4 -wind-ons_6,2010,90672,1.2 -wind-ons_7,2010,90674,35.0 -wind-ons_7,2010,90675,80.0 -wind-ons_7,2010,90789,9.0 -wind-ons_5,2010,90790,64.5 -wind-ons_8,2010,91321,25.0 -wind-ons_9,2010,91357,2.3 -wind-ons_7,2010,91359,80.0 -wind-ons_9,2010,91951,4.9 -wind-ons_10,2010,92005,1.3 -wind-ons_9,2010,92040,0.9 -wind-ons_8,2010,92041,2.0 -wind-ons_8,2010,92042,29.7 -wind-ons_7,2010,92043,80.0 -wind-ons_10,2010,92635,16.8 -wind-ons_9,2010,92689,1.3 -wind-ons_8,2010,92724,0.7 -wind-ons_8,2010,92726,21.0 -wind-ons_7,2010,92842,34.5 -wind-ons_8,2010,92843,75.0 -wind-ons_9,2010,93319,24.8 -wind-ons_8,2010,93408,0.7 -wind-ons_8,2010,93410,20.0 -wind-ons_8,2010,93411,78.0 -wind-ons_9,2010,93526,26.0 -wind-ons_8,2010,93528,102.0 -wind-ons_8,2010,93543,66.0 -wind-ons_2,2010,93953,10.5 -wind-ons_9,2010,94003,28.8 -wind-ons_8,2010,94092,0.6 -wind-ons_7,2010,94095,75.0 -wind-ons_7,2010,94211,52.5 -wind-ons_9,2010,94228,60.0 -wind-ons_9,2010,94687,41.4 -wind-ons_9,2010,94776,0.5 -wind-ons_7,2010,94778,10.5 -wind-ons_7,2010,94779,66.0 -wind-ons_4,2010,94896,80.0 -wind-ons_7,2010,95371,64.08 -wind-ons_9,2010,95462,10.5 -wind-ons_9,2010,95464,100.0 -wind-ons_9,2010,95465,150.0 -wind-ons_9,2010,95487,2.5 -wind-ons_8,2010,95539,1.8 -wind-ons_7,2010,96055,99.0 -wind-ons_7,2010,96223,1.8 -wind-ons_6,2010,96263,30.0 -wind-ons_8,2010,96832,99.0 -wind-ons_5,2010,96947,24.0 -wind-ons_8,2010,97516,99.0 -wind-ons_9,2010,98199,49.6 -wind-ons_8,2010,98200,98.2 -wind-ons_8,2010,98201,123.0 -wind-ons_7,2010,98205,66.0 -wind-ons_9,2010,98324,7.5 -wind-ons_7,2010,98790,1.8 -wind-ons_8,2010,98884,98.0 -wind-ons_8,2010,98886,160.5 -wind-ons_7,2010,99000,37.8 -wind-ons_7,2010,99474,15.92 -wind-ons_8,2010,99684,29.4 -wind-ons_7,2010,99686,100.5 -wind-ons_8,2010,100254,150.0 -wind-ons_8,2010,100297,106.0 -wind-ons_7,2010,100328,1.8 -wind-ons_9,2010,100368,15.0 -wind-ons_7,2010,100369,62.5 -wind-ons_8,2010,100935,43.5 -wind-ons_8,2010,100938,150.0 -wind-ons_8,2010,100939,199.7 -wind-ons_7,2010,100942,234.0 -wind-ons_8,2010,101619,42.0 -wind-ons_8,2010,101622,150.0 -wind-ons_9,2010,101644,76.2 -wind-ons_8,2010,101665,100.0 -wind-ons_10,2010,102210,42.0 -wind-ons_8,2010,102306,150.0 -wind-ons_8,2010,102307,199.0 -wind-ons_8,2010,102328,51.0 -wind-ons_9,2010,102894,48.86 -wind-ons_8,2010,102990,150.0 -wind-ons_8,2010,102991,174.8 -wind-ons_8,2010,103012,10.5 -wind-ons_9,2010,103637,59.4 -wind-ons_8,2010,103696,2.5 -wind-ons_8,2010,104380,1.5 -wind-ons_6,2010,104433,1.8 -wind-ons_8,2010,105040,78.0 -wind-ons_7,2010,105041,104.3 -wind-ons_8,2010,105065,150.0 -wind-ons_8,2010,105086,199.7 -wind-ons_9,2010,105689,54.27 -wind-ons_9,2010,105721,0.9 -wind-ons_9,2010,105724,76.5 -wind-ons_8,2010,105770,130.5 -wind-ons_9,2010,106329,199.5 -wind-ons_9,2010,106407,16.2 -wind-ons_9,2010,107013,201.0 -wind-ons_9,2010,107056,0.7 -wind-ons_8,2010,107091,15.0 -wind-ons_8,2010,107092,62.2 -wind-ons_8,2010,107117,100.5 -wind-ons_8,2010,107775,14.7 -wind-ons_5,2010,107873,66.0 -wind-ons_8,2010,108381,221.0 -wind-ons_10,2010,108424,0.7 -wind-ons_8,2010,108485,80.0 -wind-ons_5,2010,108558,100.0 -wind-ons_5,2010,108559,164.0 -wind-ons_8,2010,109169,72.0 -wind-ons_8,2010,109748,22.5 -wind-ons_8,2010,109793,8.91 -wind-ons_8,2010,109853,53.0 -wind-ons_9,2010,109875,200.0 -wind-ons_10,2010,110477,8.91 -wind-ons_8,2010,110537,49.5 -wind-ons_8,2010,111116,29.7 -wind-ons_10,2010,111161,8.91 -wind-ons_8,2010,111221,8.4 -wind-ons_8,2010,111905,1.5 -wind-ons_3,2010,112433,18.9 -wind-ons_8,2010,112484,60.0 -wind-ons_8,2010,112591,217.5 -wind-ons_8,2010,113275,210.9 -wind-ons_7,2010,113295,99.0 -wind-ons_8,2010,113852,79.5 -wind-ons_8,2010,113958,106.0 -wind-ons_9,2010,114589,148.5 -wind-ons_8,2010,114642,99.0 -wind-ons_9,2010,116588,151.8 -wind-ons_10,2010,118009,112.2 -wind-ons_5,2010,118084,101.3 -wind-ons_9,2010,118693,150.0 -wind-ons_7,2010,118746,1.7 -wind-ons_8,2010,119323,1.5 -wind-ons_9,2010,120061,105.0 -wind-ons_7,2010,120116,213.8 -wind-ons_9,2010,120691,4.0 -wind-ons_10,2010,121429,100.8 -wind-ons_7,2010,121483,100.5 -wind-ons_5,2010,122691,203.5 -wind-ons_9,2010,122797,100.5 -wind-ons_9,2010,124849,99.0 -wind-ons_6,2010,125479,75.0 -wind-ons_10,2010,126217,96.0 -wind-ons_7,2010,127626,5.0 -wind-ons_9,2010,128898,1.5 -wind-ons_9,2010,128899,162.0 -wind-ons_7,2010,129679,146.0 -wind-ons_2,2010,130161,7.4 -wind-ons_7,2010,130423,27.0 -wind-ons_2,2010,130846,18.0 -wind-ons_9,2010,131005,50.0 -wind-ons_4,2010,131106,0.7 -wind-ons_6,2010,131107,0.7 -wind-ons_3,2010,131790,0.7 -wind-ons_4,2010,132213,15.5 -wind-ons_3,2010,132215,38.0 -wind-ons_6,2010,132311,204.0 -wind-ons_9,2010,132373,44.0 -wind-ons_7,2010,132415,56.7 -wind-ons_7,2010,133099,50.4 -wind-ons_6,2010,133580,7.5 -wind-ons_7,2010,133582,24.0 -wind-ons_7,2010,133783,50.4 -wind-ons_7,2010,134265,18.4 -wind-ons_7,2010,134266,28.7 -wind-ons_8,2010,134269,28.5 -wind-ons_7,2010,134950,30.75 -wind-ons_10,2010,135730,0.6 -wind-ons_5,2010,136317,22.0 -wind-ons_5,2010,136318,36.0 -wind-ons_9,2010,136478,99.0 -wind-ons_5,2010,137000,17.0 -wind-ons_3,2010,137007,54.0 -wind-ons_9,2010,137098,20.0 -wind-ons_9,2010,137162,98.9 -wind-ons_8,2010,137782,90.0 -wind-ons_3,2010,138366,3.5 -wind-ons_4,2010,139050,4.5 -wind-ons_2,2010,139051,13.1 -wind-ons_2,2010,139052,20.5 -wind-ons_9,2010,139214,94.5 -wind-ons_8,2010,139215,151.4 -wind-ons_5,2010,139733,2.4 -wind-ons_5,2010,139734,6.5 -wind-ons_8,2010,140582,74.3 -wind-ons_2,2010,142469,5.4 -wind-ons_3,2010,143153,7.3 -wind-ons_4,2010,143154,16.2 -wind-ons_5,2010,143155,23.1 -wind-ons_5,2010,143157,36.0 -wind-ons_6,2010,143318,40.5 -wind-ons_4,2010,143836,3.0 -wind-ons_3,2010,143837,8.7 -wind-ons_2,2010,143841,60.0 -wind-ons_5,2010,143845,19.8 -wind-ons_9,2010,143937,0.7 -wind-ons_3,2010,144519,1.6 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-wind-ons_5,2038,122691,203.5 -wind-ons_9,2038,124849,99.0 -wind-ons_10,2038,126217,96.0 -wind-ons_7,2038,127626,5.0 -wind-ons_7,2038,129679,146.0 -wind-ons_9,2038,131005,50.0 -wind-ons_9,2038,132373,44.0 -wind-ons_7,2038,133099,50.4 -wind-ons_7,2038,133783,50.4 -wind-ons_9,2038,136478,99.0 -wind-ons_9,2038,137162,98.9 -wind-ons_3,2038,145206,20.0 -wind-ons_3,2038,145896,135.0 -wind-ons_2,2038,146581,150.0 -wind-ons_6,2038,147422,18.9 -wind-ons_6,2038,147423,123.0 -wind-ons_5,2038,149307,6.5 -wind-ons_3,2038,150678,45.0 -wind-ons_5,2038,150843,101.2 -wind-ons_6,2038,154946,8.8 -wind-ons_7,2038,155631,79.8 -wind-ons_9,2038,156248,100.0 -wind-ons_2,2038,156884,63.0 -wind-ons_6,2038,156999,59.4 -wind-ons_6,2038,157000,114.0 -wind-ons_6,2038,157002,186.0 -wind-ons_6,2038,157683,58.8 -wind-ons_6,2038,157684,112.5 -wind-ons_6,2038,157687,209.0 -wind-ons_7,2038,158366,0.07 -wind-ons_7,2038,158368,112.5 -wind-ons_6,2038,159056,249.0 -wind-ons_6,2038,159735,49.5 -wind-ons_7,2038,160420,101.2 -wind-ons_6,2038,161106,180.0 -wind-ons_6,2038,161789,150.0 -wind-ons_7,2038,162471,32.52 -wind-ons_6,2038,162473,150.0 -wind-ons_7,2038,162475,200.0 -wind-ons_6,2038,162476,231.5 -wind-ons_6,2038,163840,91.58 -wind-ons_7,2038,164526,170.2 -wind-ons_6,2038,165894,169.5 -wind-ons_6,2038,166575,17.64 -wind-ons_6,2038,167259,10.0 -wind-ons_7,2038,167943,10.0 -wind-ons_6,2038,168631,197.0 -wind-ons_6,2038,169311,10.0 -wind-ons_5,2038,169998,162.3 -wind-ons_6,2038,171363,10.0 -wind-ons_6,2038,171364,79.92 -wind-ons_6,2038,173416,79.5 -wind-ons_6,2038,173417,126.5 -wind-ons_6,2038,174785,124.7 -wind-ons_6,2038,175468,75.0 -wind-ons_6,2038,176152,73.5 -wind-ons_5,2038,176835,2.64 -wind-ons_6,2038,176836,69.53 -wind-ons_6,2038,176837,121.9 -wind-ons_6,2038,176838,153.9 -wind-ons_6,2038,178203,0.92 -wind-ons_6,2038,178205,120.0 -wind-ons_6,2038,178887,0.6 -wind-ons_6,2038,178889,120.0 -wind-ons_6,2038,178891,201.6 -wind-ons_6,2038,179574,180.0 -wind-ons_7,2038,180255,0.08 -wind-ons_6,2038,180261,55.2 -wind-ons_7,2038,180939,0.07 -wind-ons_6,2038,180945,174.0 -wind-ons_7,2038,181629,54.0 -wind-ons_3,2039,44678,44.0 -wind-ons_6,2039,56986,98.9 -wind-ons_6,2039,57670,136.3 -wind-ons_8,2039,59370,57.0 -wind-ons_9,2039,60055,66.0 -wind-ons_8,2039,61261,100.5 -wind-ons_5,2039,61773,262.2 -wind-ons_9,2039,62590,4.5 -wind-ons_9,2039,62790,4.5 -wind-ons_3,2039,63140,9.9 -wind-ons_8,2039,63312,49.5 -wind-ons_9,2039,63912,101.4 -wind-ons_8,2039,65361,2.0 -wind-ons_7,2039,66045,2.0 -wind-ons_4,2039,66560,102.3 -wind-ons_5,2039,67927,72.0 -wind-ons_6,2039,67928,163.3 -wind-ons_3,2039,68610,6.6 -wind-ons_8,2039,68747,149.0 -wind-ons_1,2039,69294,9.9 -wind-ons_2,2039,69295,100.8 -wind-ons_1,2039,69979,102.9 -wind-ons_9,2039,70115,115.5 -wind-ons_8,2039,70798,49.5 -wind-ons_8,2039,70799,120.0 -wind-ons_6,2039,71345,1.7 -wind-ons_8,2039,71482,49.5 -wind-ons_6,2039,71644,106.5 -wind-ons_5,2039,72328,97.5 -wind-ons_5,2039,74764,5.0 -wind-ons_3,2039,74765,98.7 -wind-ons_4,2039,75448,9.9 -wind-ons_6,2039,76857,8.4 -wind-ons_3,2039,78183,8.0 -wind-ons_8,2039,78326,51.0 -wind-ons_9,2039,78957,17.0 -wind-ons_4,2039,79551,10.0 -wind-ons_8,2039,80325,39.0 -wind-ons_8,2039,81009,99.0 -wind-ons_9,2039,81124,54.0 -wind-ons_4,2039,81223,87.5 -wind-ons_3,2039,81602,8.3 -wind-ons_6,2039,81693,99.0 -wind-ons_7,2039,81908,112.0 -wind-ons_9,2039,82491,13.5 -wind-ons_9,2039,82524,59.0 -wind-ons_8,2039,82591,37.5 -wind-ons_9,2039,82610,1.5 -wind-ons_9,2039,83175,12.9 -wind-ons_3,2039,84337,3.3 -wind-ons_9,2039,84543,3.6 -wind-ons_4,2039,90534,18.9 -wind-ons_9,2039,90637,50.4 -wind-ons_7,2039,90675,80.0 -wind-ons_8,2039,91321,25.0 -wind-ons_9,2039,92040,0.9 -wind-ons_8,2039,92843,75.0 -wind-ons_8,2039,93411,78.0 -wind-ons_8,2039,93528,102.0 -wind-ons_8,2039,93543,66.0 -wind-ons_9,2039,94003,28.8 -wind-ons_7,2039,94211,52.5 -wind-ons_9,2039,94228,60.0 -wind-ons_9,2039,94776,0.5 -wind-ons_7,2039,94778,10.5 -wind-ons_7,2039,94779,66.0 -wind-ons_9,2039,95462,10.5 -wind-ons_9,2039,95464,100.0 -wind-ons_7,2039,96055,99.0 -wind-ons_8,2039,97516,99.0 -wind-ons_7,2039,99686,100.5 -wind-ons_8,2039,100297,106.0 -wind-ons_7,2039,100369,62.5 -wind-ons_8,2039,100939,199.7 -wind-ons_8,2039,101622,150.0 -wind-ons_8,2039,101665,100.0 -wind-ons_10,2039,102210,42.0 -wind-ons_8,2039,102307,199.0 -wind-ons_8,2039,102328,51.0 -wind-ons_8,2039,103012,10.5 -wind-ons_8,2039,104380,1.5 -wind-ons_8,2039,105086,199.7 -wind-ons_9,2039,105689,54.27 -wind-ons_8,2039,107117,100.5 -wind-ons_8,2039,109748,22.5 -wind-ons_8,2039,109793,8.91 -wind-ons_9,2039,109875,200.0 -wind-ons_10,2039,110477,8.91 -wind-ons_8,2039,110537,49.5 -wind-ons_10,2039,111161,8.91 -wind-ons_8,2039,111905,1.5 -wind-ons_8,2039,112591,217.5 -wind-ons_7,2039,113295,99.0 -wind-ons_8,2039,113958,106.0 -wind-ons_9,2039,114589,148.5 -wind-ons_9,2039,116588,151.8 -wind-ons_5,2039,118084,101.3 -wind-ons_7,2039,121483,100.5 -wind-ons_5,2039,122691,203.5 -wind-ons_9,2039,124849,99.0 -wind-ons_7,2039,129679,146.0 -wind-ons_9,2039,131005,50.0 -wind-ons_9,2039,132373,44.0 -wind-ons_9,2039,136478,99.0 -wind-ons_9,2039,137162,98.9 -wind-ons_3,2039,145896,135.0 -wind-ons_2,2039,146581,150.0 -wind-ons_5,2039,149307,6.5 -wind-ons_5,2039,150843,101.2 -wind-ons_9,2039,156248,100.0 -wind-ons_2,2039,156884,63.0 -wind-ons_6,2039,156999,59.4 -wind-ons_6,2039,157000,114.0 -wind-ons_7,2039,158366,0.07 -wind-ons_6,2039,159056,249.0 -wind-ons_6,2039,159735,49.5 -wind-ons_7,2039,160420,101.2 -wind-ons_6,2039,161789,150.0 -wind-ons_6,2039,162476,231.5 -wind-ons_6,2039,163840,91.58 -wind-ons_6,2039,168631,197.0 -wind-ons_6,2039,173416,79.5 -wind-ons_6,2039,175468,75.0 -wind-ons_6,2039,176152,73.5 -wind-ons_6,2039,176836,69.53 -wind-ons_6,2039,178203,0.92 -wind-ons_6,2039,178205,120.0 -wind-ons_6,2039,178887,0.6 -wind-ons_6,2039,178891,201.6 -wind-ons_6,2039,179574,180.0 -wind-ons_7,2039,180939,0.07 diff --git a/inputs/capacity_exogenous/exog_cap_wind-ons_reference.csv b/inputs/capacity_exogenous/exog_cap_wind-ons_reference.csv deleted file mode 100644 index fda87bae..00000000 --- a/inputs/capacity_exogenous/exog_cap_wind-ons_reference.csv +++ /dev/null @@ -1,16768 +0,0 @@ -*tech,year,sc_point_gid,capacity -wind-ons_1,2010,46046,114.0 -wind-ons_2,2010,46729,44.0 -wind-ons_1,2010,46730,28.2 -wind-ons_2,2010,48781,156.0 -wind-ons_4,2010,49464,7.2 -wind-ons_3,2010,49465,228.6 -wind-ons_5,2010,50148,94.0 -wind-ons_3,2010,51516,54.0 -wind-ons_7,2010,52200,168.0 -wind-ons_7,2010,52969,9.7 -wind-ons_6,2010,53567,122.8 -wind-ons_5,2010,54935,31.0 -wind-ons_6,2010,55619,234.0 -wind-ons_7,2010,55705,104.2 -wind-ons_6,2010,56302,98.9 -wind-ons_6,2010,57670,62.9 -wind-ons_6,2010,58354,174.0 -wind-ons_8,2010,58684,4.5 -wind-ons_4,2010,59037,95.0 -wind-ons_8,2010,59201,0.93 -wind-ons_8,2010,59203,2.0 -wind-ons_3,2010,59721,136.3 -wind-ons_7,2010,59854,18.0 -wind-ons_7,2010,59885,0.93 -wind-ons_8,2010,59886,1.3 -wind-ons_7,2010,59889,10.4 -wind-ons_8,2010,59899,180.0 -wind-ons_1,2010,60405,95.4 -wind-ons_7,2010,60569,0.93 -wind-ons_7,2010,60570,1.2 -wind-ons_7,2010,60571,2.0 -wind-ons_7,2010,60572,2.1 -wind-ons_7,2010,60574,25.0 -wind-ons_8,2010,60583,25.5 -wind-ons_9,2010,60738,42.0 -wind-ons_8,2010,60739,66.0 -wind-ons_2,2010,61089,30.0 -wind-ons_7,2010,61253,0.93 -wind-ons_7,2010,61255,1.9 -wind-ons_7,2010,61256,2.1 -wind-ons_7,2010,61257,9.2 -wind-ons_5,2010,61772,78.0 -wind-ons_7,2010,61937,0.93 -wind-ons_7,2010,61939,1.7 -wind-ons_8,2010,61940,2.1 -wind-ons_7,2010,61941,8.4 -wind-ons_8,2010,61942,20.0 -wind-ons_9,2010,61943,51.0 -wind-ons_9,2010,61944,60.0 -wind-ons_9,2010,62107,57.0 -wind-ons_7,2010,62544,30.0 -wind-ons_8,2010,62590,31.5 -wind-ons_7,2010,62621,0.93 -wind-ons_7,2010,62623,1.7 -wind-ons_7,2010,62624,2.0 -wind-ons_8,2010,62625,8.0 -wind-ons_9,2010,62628,40.5 -wind-ons_4,2010,63139,6.6 -wind-ons_3,2010,63140,98.7 -wind-ons_7,2010,63305,0.93 -wind-ons_7,2010,63307,1.7 -wind-ons_7,2010,63308,2.0 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-wind-ons_7,2038,158365,79.5 -wind-ons_7,2038,158366,121.9 -wind-ons_7,2038,158368,168.0 -wind-ons_7,2038,159732,8.8 -wind-ons_7,2038,159733,75.0 -wind-ons_6,2038,159735,150.0 -wind-ons_7,2038,159736,1.5 -wind-ons_7,2038,160417,73.5 -wind-ons_7,2038,160418,120.0 -wind-ons_7,2038,161101,69.53 -wind-ons_7,2038,161102,120.0 -wind-ons_7,2038,161103,150.0 -wind-ons_6,2038,161106,180.0 -wind-ons_7,2038,161784,2.64 -wind-ons_6,2038,161790,29.0 -wind-ons_6,2038,161791,78.0 -wind-ons_6,2038,162475,153.5 -wind-ons_7,2038,164520,0.92 -wind-ons_7,2038,165204,0.6 -wind-ons_7,2038,165208,162.3 -wind-ons_6,2038,165209,192.0 -wind-ons_6,2038,165890,114.0 -wind-ons_6,2038,165893,5.0 -wind-ons_6,2038,166573,59.4 -wind-ons_6,2038,166574,112.5 -wind-ons_7,2038,167256,0.08 -wind-ons_5,2038,167257,58.8 -wind-ons_5,2038,167258,112.5 -wind-ons_6,2038,167940,0.07 -wind-ons_6,2038,168624,0.07 -wind-ons_5,2038,168630,200.0 -wind-ons_5,2038,169310,101.2 -wind-ons_5,2038,169313,180.0 -wind-ons_5,2038,169993,49.5 -wind-ons_5,2038,169997,6.0 -wind-ons_5,2038,170000,228.0 -wind-ons_5,2038,170684,21.0 -wind-ons_6,2038,172729,32.52 -wind-ons_6,2038,172730,91.58 -wind-ons_7,2038,174101,180.0 -wind-ons_6,2038,174784,153.9 -wind-ons_5,2038,174789,73.2 -wind-ons_7,2038,175465,17.64 -wind-ons_5,2038,175473,150.0 -wind-ons_5,2038,176153,180.0 -wind-ons_5,2038,176154,201.6 -wind-ons_6,2038,176157,60.0 -wind-ons_2,2039,46729,44.0 -wind-ons_1,2039,46730,28.2 -wind-ons_6,2039,55619,234.0 -wind-ons_6,2039,56302,98.9 -wind-ons_8,2039,58684,4.5 -wind-ons_3,2039,59721,136.3 -wind-ons_8,2039,60739,66.0 -wind-ons_9,2039,61944,60.0 -wind-ons_9,2039,62107,57.0 -wind-ons_9,2039,62628,40.5 -wind-ons_4,2039,63139,6.6 -wind-ons_3,2039,63140,98.7 -wind-ons_7,2039,63308,2.0 -wind-ons_9,2039,63311,49.5 -wind-ons_4,2039,63823,9.9 -wind-ons_8,2039,63912,101.4 -wind-ons_8,2039,63992,2.0 -wind-ons_8,2039,64643,115.5 -wind-ons_1,2039,65874,1.7 -wind-ons_2,2039,65875,72.0 -wind-ons_8,2039,66695,6.0 -wind-ons_8,2039,67379,149.0 -wind-ons_7,2039,67538,54.0 -wind-ons_8,2039,68062,49.5 -wind-ons_8,2039,68746,49.5 -wind-ons_6,2039,68906,19.5 -wind-ons_1,2039,69293,8.3 -wind-ons_8,2039,69431,114.0 -wind-ons_5,2039,69591,52.0 -wind-ons_1,2039,70662,31.3 -wind-ons_7,2039,70959,52.5 -wind-ons_8,2039,71643,78.0 -wind-ons_3,2039,72028,3.3 -wind-ons_5,2039,72712,9.9 -wind-ons_8,2039,72849,4.5 -wind-ons_4,2039,76132,102.3 -wind-ons_6,2039,76857,18.9 -wind-ons_8,2039,79641,39.0 -wind-ons_3,2039,80235,132.0 -wind-ons_5,2039,80538,87.5 -wind-ons_5,2039,80539,126.0 -wind-ons_9,2039,81122,12.9 -wind-ons_3,2039,81223,60.0 -wind-ons_3,2039,81601,5.0 -wind-ons_3,2039,82285,9.9 -wind-ons_3,2039,82970,102.9 -wind-ons_9,2039,83175,54.0 -wind-ons_3,2039,83653,10.0 -wind-ons_9,2039,84542,3.6 -wind-ons_9,2039,84657,1.5 -wind-ons_3,2039,85020,8.0 -wind-ons_6,2039,85112,17.0 -wind-ons_3,2039,85705,100.8 -wind-ons_4,2039,86480,28.8 -wind-ons_9,2039,87279,13.5 -wind-ons_8,2039,87312,59.0 -wind-ons_2,2039,87798,8.4 -wind-ons_5,2039,87848,99.0 -wind-ons_8,2039,88064,37.5 -wind-ons_5,2039,88532,99.0 -wind-ons_9,2039,89269,25.0 -wind-ons_7,2039,89988,10.5 -wind-ons_6,2039,89990,99.0 -wind-ons_9,2039,90637,50.4 -wind-ons_8,2039,90670,0.9 -wind-ons_6,2039,90672,10.5 -wind-ons_7,2039,90789,62.5 -wind-ons_6,2039,91473,52.5 -wind-ons_5,2039,91474,3.0 -wind-ons_9,2039,93373,51.0 -wind-ons_9,2039,93406,0.5 -wind-ons_7,2039,94094,80.0 -wind-ons_8,2039,94211,72.0 -wind-ons_6,2039,94212,102.0 -wind-ons_4,2039,94896,100.5 -wind-ons_7,2039,95371,99.0 -wind-ons_8,2039,96830,78.0 -wind-ons_8,2039,97517,138.0 -wind-ons_8,2039,99566,66.0 -wind-ons_9,2039,99569,60.0 -wind-ons_9,2039,100253,1.7 -wind-ons_8,2039,100900,8.91 -wind-ons_8,2039,100981,162.0 -wind-ons_9,2039,101526,42.0 -wind-ons_9,2039,101584,8.91 -wind-ons_8,2039,101621,199.0 -wind-ons_9,2039,102268,8.91 -wind-ons_8,2039,102303,100.0 -wind-ons_8,2039,102304,150.0 -wind-ons_8,2039,102327,1.5 -wind-ons_8,2039,102349,84.0 -wind-ons_8,2039,103717,101.3 -wind-ons_8,2039,104401,99.0 -wind-ons_8,2039,107800,49.5 -wind-ons_8,2039,107802,217.5 -wind-ons_8,2039,108380,22.5 -wind-ons_9,2039,108425,54.27 -wind-ons_8,2039,108484,10.5 -wind-ons_8,2039,109852,1.5 -wind-ons_9,2039,109874,100.0 -wind-ons_8,2039,110559,180.0 -wind-ons_8,2039,111905,100.5 -wind-ons_7,2039,112611,37.7 -wind-ons_7,2039,113979,22.0 -wind-ons_8,2039,114641,51.0 -wind-ons_9,2039,115904,151.8 -wind-ons_8,2039,115956,99.0 -wind-ons_5,2039,116032,20.0 -wind-ons_8,2039,118062,106.0 -wind-ons_7,2039,119430,100.5 -wind-ons_5,2039,122691,203.5 -wind-ons_9,2039,127584,50.0 -wind-ons_9,2039,128952,44.0 -wind-ons_9,2039,131005,148.5 -wind-ons_7,2039,134467,146.0 -wind-ons_9,2039,135793,98.9 -wind-ons_5,2039,136323,36.0 -wind-ons_9,2039,137845,99.0 -wind-ons_4,2039,139730,6.5 -wind-ons_2,2039,146580,114.0 -wind-ons_10,2039,146673,100.0 -wind-ons_5,2039,148629,135.0 -wind-ons_7,2039,150158,101.2 -wind-ons_2,2039,156884,63.0 -wind-ons_7,2039,158365,79.5 -wind-ons_7,2039,159733,75.0 -wind-ons_7,2039,160417,73.5 -wind-ons_7,2039,160418,120.0 -wind-ons_7,2039,161101,69.53 -wind-ons_7,2039,161103,150.0 -wind-ons_6,2039,161791,78.0 -wind-ons_6,2039,162475,153.5 -wind-ons_7,2039,164520,0.92 -wind-ons_7,2039,165204,0.6 -wind-ons_6,2039,165209,192.0 -wind-ons_6,2039,165890,114.0 -wind-ons_6,2039,165893,5.0 -wind-ons_6,2039,166573,59.4 -wind-ons_6,2039,167940,0.07 -wind-ons_6,2039,168624,0.07 -wind-ons_5,2039,169310,101.2 -wind-ons_5,2039,169993,49.5 -wind-ons_5,2039,170000,228.0 -wind-ons_5,2039,170684,21.0 -wind-ons_6,2039,172730,91.58 -wind-ons_5,2039,176153,180.0 -wind-ons_5,2039,176154,201.6 diff --git a/inputs/sets/pcat.csv b/inputs/sets/pcat.csv deleted file mode 100644 index d2696399..00000000 --- a/inputs/sets/pcat.csv +++ /dev/null @@ -1,11 +0,0 @@ -*seldom-used pound/hashtag populates -*elements of this set with the indicated set -#i -upv -pvb -wind-ons -wind-ofs -csp-ws -geohydro_allkm -egs_allkm -egs_nearfield \ No newline at end of file diff --git a/inputs/sets/prescriptivelink0.csv b/inputs/sets/prescriptivelink0.csv deleted file mode 100644 index eb653312..00000000 --- a/inputs/sets/prescriptivelink0.csv +++ /dev/null @@ -1,115 +0,0 @@ -*pcat,i -upv,upv_1 -upv,upv_2 -upv,upv_3 -upv,upv_4 -upv,upv_5 -upv,upv_6 -upv,upv_7 -upv,upv_8 -upv,upv_9 -upv,upv_10 -pvb,pvb1_1 -pvb,pvb1_2 -pvb,pvb1_3 -pvb,pvb1_4 -pvb,pvb1_5 -pvb,pvb1_6 -pvb,pvb1_7 -pvb,pvb1_8 -pvb,pvb1_9 -pvb,pvb1_10 -pvb,pvb2_1 -pvb,pvb2_2 -pvb,pvb2_3 -pvb,pvb2_4 -pvb,pvb2_5 -pvb,pvb2_6 -pvb,pvb2_7 -pvb,pvb2_8 -pvb,pvb2_9 -pvb,pvb2_10 -pvb,pvb3_1 -pvb,pvb3_2 -pvb,pvb3_3 -pvb,pvb3_4 -pvb,pvb3_5 -pvb,pvb3_6 -pvb,pvb3_7 -pvb,pvb3_8 -pvb,pvb3_9 -pvb,pvb3_10 -wind-ons,wind-ons_1 -wind-ons,wind-ons_2 -wind-ons,wind-ons_3 -wind-ons,wind-ons_4 -wind-ons,wind-ons_5 -wind-ons,wind-ons_6 -wind-ons,wind-ons_7 -wind-ons,wind-ons_8 -wind-ons,wind-ons_9 -wind-ons,wind-ons_10 -csp-ws,csp1_1 -csp-ws,csp1_2 -csp-ws,csp1_3 -csp-ws,csp1_4 -csp-ws,csp1_5 -csp-ws,csp1_6 -csp-ws,csp1_7 -csp-ws,csp1_8 -csp-ws,csp1_9 -csp-ws,csp1_10 -csp-ws,csp1_11 -csp-ws,csp1_12 -csp-ws,csp2_1 -csp-ws,csp2_2 -csp-ws,csp2_3 -csp-ws,csp2_4 -csp-ws,csp2_5 -csp-ws,csp2_6 -csp-ws,csp2_7 -csp-ws,csp2_8 -csp-ws,csp2_9 -csp-ws,csp2_10 -csp-ws,csp2_11 -csp-ws,csp2_12 -wind-ofs,wind-ofs_1 -wind-ofs,wind-ofs_2 -wind-ofs,wind-ofs_3 -wind-ofs,wind-ofs_4 -wind-ofs,wind-ofs_5 -wind-ofs,wind-ofs_6 -wind-ofs,wind-ofs_7 -wind-ofs,wind-ofs_8 -wind-ofs,wind-ofs_9 -wind-ofs,wind-ofs_10 -egs_allkm,egs_allkm_1 -egs_allkm,egs_allkm_2 -egs_allkm,egs_allkm_3 -egs_allkm,egs_allkm_4 -egs_allkm,egs_allkm_5 -egs_allkm,egs_allkm_6 -egs_allkm,egs_allkm_7 -egs_allkm,egs_allkm_8 -egs_allkm,egs_allkm_9 -egs_allkm,egs_allkm_10 -geohydro_allkm,geohydro_allkm_1 -geohydro_allkm,geohydro_allkm_2 -geohydro_allkm,geohydro_allkm_3 -geohydro_allkm,geohydro_allkm_4 -geohydro_allkm,geohydro_allkm_5 -geohydro_allkm,geohydro_allkm_6 -geohydro_allkm,geohydro_allkm_7 -geohydro_allkm,geohydro_allkm_8 -geohydro_allkm,geohydro_allkm_9 -geohydro_allkm,geohydro_allkm_10 -egs_nearfield,egs_nearfield_1 -egs_nearfield,egs_nearfield_2 -egs_nearfield,egs_nearfield_3 -egs_nearfield,egs_nearfield_4 -egs_nearfield,egs_nearfield_5 -egs_nearfield,egs_nearfield_6 -egs_nearfield,egs_nearfield_7 -egs_nearfield,egs_nearfield_8 -egs_nearfield,egs_nearfield_9 -egs_nearfield,egs_nearfield_10 \ No newline at end of file diff --git a/inputs/supply_curve/classification_geothermal.csv b/inputs/supply_curve/classification_geothermal.csv new file mode 100644 index 00000000..31b6ab45 --- /dev/null +++ b/inputs/supply_curve/classification_geothermal.csv @@ -0,0 +1,11 @@ +class,access_case,min_reV_mean_temp,max_reV_mean_temp +1,reference,325,500 +2,reference,300,325 +3,reference,275,300 +4,reference,250,275 +5,reference,225,250 +6,reference,200,225 +7,reference,175,200 +8,reference,150,175 +9,reference,125,150 +10,reference,0,125 diff --git a/inputs/supply_curve/supplycurve_egs-reference.csv b/inputs/supply_curve/supplycurve_egs-reference.csv index 4999a35a..a4e4bf3e 100644 --- a/inputs/supply_curve/supplycurve_egs-reference.csv +++ b/inputs/supply_curve/supplycurve_egs-reference.csv @@ -1,56890 +1,56890 @@ -sc_point_gid,class,capacity,capital_adder_per_mw,cf -37804,8,131.01,0,0.9945 -37805,8,60.01,0,0.9944 -37806,8,50.74,0,0.9945 -37807,7,53.25,0,0.9946 -37808,7,10.98,0,0.9947 -38488,8,116.75,0,0.9946 -38489,8,95.17,0,0.9946 -38490,8,132.15,0,0.9946 -38491,8,208.77,0,0.9946 -38492,9,21.53,0,0.9941 -39158,8,205.42,0,0.9946 -39173,8,150.24,0,0.9946 -39174,8,210.56,0,0.9946 -39175,8,105.37,0,0.9946 -39176,8,24.13,0,0.9946 -39180,8,0.1,0,0.9945 -39181,7,0.09,0,0.9948 -39182,8,0.32,0,0.9945 -39183,8,0.16,0,0.9947 -39842,8,387.1,0,0.9946 -39843,8,265.59,0,0.9946 -39857,8,182.21,0,0.9945 -39858,8,161.02,0,0.9946 -39859,7,91.09,0,0.9946 -39867,8,0.03,0,0.9947 -39868,7,0.21,0,0.9947 -39869,7,0.05,0,0.9948 -39870,7,0.18,0,0.9947 -39871,7,0.13,0,0.9948 -40525,8,36.99,0,0.9945 -40526,8,430.16,0,0.9946 -40527,8,312.32,0,0.9946 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cendivweights.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant ces_fraction.csv,.csv,0,None,*t,st,0,0,linear_5,0,1,done,linear_5 cf_vre.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant +classification_geothermal.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done, climate_heuristics_finalyear.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, climate_heuristics_yearfrac.csv,.csv,0,None,*t,None,0,0,constant,None,None,new, climate_hydadjann.csv,.csv,0,None,wide,r,1,0,constant,0,None,done,constant @@ -140,10 +141,12 @@ evmc_storage_profile_decrease.csv,.csv,1,None,9999,None,9999,0,constant,None,Non evmc_storage_profile_increase.csv,.csv,1,None,9999,None,9999,0,constant,None,None,,constant exog_cap_geohydro.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, exog_cap_upv.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, +exog_cap_wind-ofs.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant exog_cap_wind-ons.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant exog_geohydro_allkm_rsc.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, exog_upv_rsc.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, exog_wind_ons_rsc.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, +exog_wind_ofs_rsc.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, f.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, financials_hydrogen.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new; input data extends to 2100, financials_sys.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new; handled in calc_financial_inputs.py, @@ -257,6 +260,7 @@ min_retire_age.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant minCF.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant mingen_fixed.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, minloadfrac0.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant +missing_class_resource.csv,.csv,1,None,None,"*i,ii,r",0,None,constant,None,None,done, modeled_regions.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, modeledyears.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant month.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, @@ -297,7 +301,6 @@ outage_forced_temperature.csv,.csv,1,None,9999,None,9999,0,constant,None,None,ne outage_scheduled_monthly.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, outage_scheduled_static.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant p.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, -pcat.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, pcm_defaults.json,.json,1,None,9999,None,9999,0,constant,None,None,new, peak_ccseason.csv,.csv,2,None,wide,"r,ccseason",1,0,linear_5,None,None,"ignore if not EFS, else apply projection",linear_10 peak_h.csv,.csv,2,None,wide,"r,h",1,0,linear_5,None,None,"ignore if not EFS, else apply projection",linear_10 @@ -341,12 +344,9 @@ plantcharout.txt,.txt,0,None,1,"0,2",0,None,constant,None,None,"done. consider f plexos_inputs.gdx,.gdx,1,None,9999,None,9999,0,constant,None,None,done (wouldn't exist yet in normal run),constant poi_cap_init.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, prepost.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, -prescribed_builds_wind-ofs.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant -prescribed_builds_wind-ons.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant prescribed_nonRSC_energy.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, prescribed_nonRSC.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant prescribed_rsc.csv,.csv,1,None,9999,None,9999,0,constant,None,None,done,constant -prescriptivelink0.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, prm_initial.csv,.csv,0,None,t,*r,0,0,constant,None,None,done,constant psh_sc_duration.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, psh_supply_curves_capacity.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, @@ -473,6 +473,7 @@ UnappWaterMultAnn.csv,.csv,1,None,9999,None,9999,0,constant,None,None,"new; inpu UnappWaterSeaAnnDistr.csv,.csv,1,None,9999,None,9999,0,constant,None,None,"new; input data extends to 2098, and interpolation between data years occurs in climateprep.py", unbundled_limit_ces.csv,.csv,0,None,wide,st,1,0,constant,None,None,new, unbundled_limit_rps.csv,.csv,0,None,wide,st,1,0,constant,None,None,new, +unitdata_orig.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, unitdata.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, unitsize.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, unitspec_upgrades.csv,.csv,1,None,9999,None,9999,0,constant,None,None,new, diff --git a/reeds/core/setup/b_inputs.gms b/reeds/core/setup/b_inputs.gms index e2a65430..360e28ca 100644 --- a/reeds/core/setup/b_inputs.gms +++ b/reeds/core/setup/b_inputs.gms @@ -1176,37 +1176,6 @@ $onlisting / ; -set prescriptivelink0(pcat,ii) "initial set of prescribed categories and their technologies - used in assigning prescribed builds" -/ -$offlisting -$ondelim -$include inputs_case%ds%prescriptivelink0.csv -$offdelim -$onlisting -/ ; - -*include non-numeraire CSPs and then exclude numeraire CSPs in ii dimension of -*prescriptivelink0(pcat,ii) set when Sw_WaterMain is ON -prescriptivelink0("csp-ws",ii)$[(csp1(ii) or csp2(ii) or csp3(ii) or csp4(ii))$Sw_WaterMain] = yes ; -prescriptivelink0("csp-ws",ii)$[csp(ii)$i_numeraire(ii)$Sw_WaterMain] = no ; - -set prescriptivelink(pcat,i) "final set of prescribed categories and their technologies - used in the model" ; - -prescriptivelink(pcat,i)$prescriptivelink0(pcat,i) = yes ; - -alias(pcat,ppcat) ; - -* active prescriptivelink for all techs not included in the table above -* but restrict out csp techs in this calculation - since they -* are indexed by a separate pcat (csp-ws) and have special considerations -prescriptivelink(pcat,i)$[sameas(pcat,i)$(not sum{ppcat, prescriptivelink(ppcat,i) })$(not csp1(i))] = yes ; -*only geo_hydro techs are considered to meet geothermal prescriptions -prescriptivelink(pcat,i)$[geo_extra(i)] = no ; - - -*upgrades have no prescriptions -prescriptivelink(pcat,i)$[upgrade(i)] = no ; - set rsc_agg(i,ii) "rsc technologies that belong to the same class" ; set tg_rsc_cspagg(i,ii) "csp technologies that belong to the same class" @@ -1578,16 +1547,6 @@ firstyear(i)$[not firstyear(i)] = model_builds_start_yr ; firstyear(i)$[i_water_cooling(i)$(not Sw_WaterMain)] = NO ; firstyear(i)$upgrade(i) = sum{ii$upgrade_to(i,ii), firstyear(ii) } ; -parameter firstyear_pcat(pcat) ; -firstyear_pcat(pcat)$[sum{i$[sameas(i,pcat)$(not ban(i))], firstyear(i) }] = sum{i$sameas(i,pcat), firstyear(i) } ; -firstyear_pcat("upv") = firstyear("upv_1") ; -firstyear_pcat("wind-ons") = firstyear("wind-ons_1") ; -firstyear_pcat("wind-ofs") = firstyear("wind-ofs_1") ; -firstyear_pcat("csp-ws") = firstyear("csp2_1") ; -firstyear_pcat("geohydro_allkm") = firstyear("geohydro_allkm_1") ; -firstyear_pcat("egs_allkm") = firstyear("egs_allkm_1") ; - - *============================== * Region specification *============================== @@ -1601,6 +1560,13 @@ stfeas(st)$[sum{r$r_st(r,st), 1 }] = yes ; * -- existing capacity -- *========================== +set captype "existed capacity types ,i.e. existing (pre-start year) or prescribed (post-start year) based on model start year" +/ +existing +prescribed +/ +; + *Begin loading of capacity data parameter poi_cap_init(r) "--MW-- initial (pre-2010) capacity of all types" / @@ -1611,118 +1577,103 @@ $offdelim $onlisting / ; -*created by reeds/input_processing/writecapdat.py -table capnonrsc(i,r,*) "--MW-- raw power capacity data for non-RSC tech" +*created by /input_processing/writecapdat.py +$onempty +parameter capnonrsc(i,r) "--MW-- raw power capacity data for non-RSC tech created by .\input_processing\writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%capnonrsc.csv $offdelim $onlisting -; +/ ; +$offempty *created by reeds/input_processing/writecapdat.py $onempty -table capnonrsc_energy(i,r,*) "--MWh-- raw energy capacity data for battery tech" +parameter capnonrsc_energy(i,r) "--MWh-- raw energy capacity data for battery tech created by .\input_processing\writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%capnonrsc_energy.csv $offdelim $onlisting -; +/ ; $offempty *created by reeds/input_processing/writecapdat.py $onempty -table caprsc(pcat,r,*) "--MW-- raw RSC capacity data" +parameter caprsc(i,v,r) "--MW-- raw RSC capacity data, created by .\writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%caprsc.csv $offdelim $onlisting -; +/ ; $offempty *created by reeds/input_processing/writecapdat.py * declared over allt to allow for external data files that extend beyond end_year $onempty -table prescribednonrsc(allt,pcat,r,*) "--MW-- raw prescribed capacity data for non-RSC tech" +parameter prescribednonrsc(i,v,r,allt) "--MW-- raw prescribed capacity data for non-RSC tech created by writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%prescribed_nonRSC.csv $offdelim $onlisting -; +/ ; $offempty $onempty -table prescribednonrsc_energy(allt,pcat,r,*) "--MWh-- raw prescribed energy capacity data for non-RSC tech" +parameter prescribednonrsc_energy(i,v,r,allt) "--MWh-- raw prescribed energy capacity data for non-RSC tech created by writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%prescribed_nonRSC_energy.csv $offdelim $onlisting -; +/ ; $offempty *Created using reeds/input_processing/writecapdat.py $onempty -table prescribedrsc(allt,pcat,r,*) "--MW-- raw prescribed capacity data for RSC tech" +parameter prescribedrsc(i,v,r,allt) "--MW-- raw prescribed capacity data for RSC tech created by .\input_processing\writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%prescribed_rsc.csv $offdelim $onlisting -; -$offempty - -$onempty -*For onshore and offshore wind, use outputs of hourlize to override what is in prescribedrsc -table prescribed_wind_ons(r,allt,*) "--MW-- prescribed wind capacity, created by hourlize" -$offlisting -$ondelim -$include inputs_case%ds%prescribed_builds_wind-ons.csv -$offdelim -$onlisting -; -$offempty - -prescribedrsc(allt,"wind-ons",r,"value") = prescribed_wind_ons(r,allt,"capacity") ; - -$onempty -table prescribed_wind_ofs(r,allt,*) "--MW-- prescribed wind capacity, created by hourlize" -$offlisting -$ondelim -$include inputs_case%ds%prescribed_builds_wind-ofs.csv -$offdelim -$onlisting -; +/ ; $offempty -prescribedrsc(allt,"wind-ofs",r,"value") = prescribed_wind_ofs(r,allt,"capacity") ; - -*created by reeds/input_processing/writecapdat.py +*created by /input_processing/writecapdat.py *following does not include wind *Retirements for techs binned by heatrates are handled in hintage_data.csv $onempty -table prescribedretirements(allt,r,i,*) "--MW-- raw prescribed power capacity retirement data for non-RSC, non-heatrate binned tech" +parameter prescribedretirements(i,v,r,allt,alltt,captype) "--MW-- raw prescribed power capacity retirement data for non-RSC, non-heatrate binned tech created by /input_processing/writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%retirements.csv $offdelim $onlisting -; +/ ; $offempty *created by reeds/input_processing/writecapdat.py *Retirements for techs binned by heatrates are handled in hintage_data.csv $onempty -table prescribedretirements_energy(allt,r,i,*) "--MWh-- raw prescribed energy capacity retirement data for battery tech" +parameter prescribedretirements_energy(v,r,i,allt,alltt,captype) "--MWh-- raw prescribed energy capacity retirement data for battery tech created by /input_processing/writecapdat.py" +/ $offlisting $ondelim $include inputs_case%ds%retirements_energy.csv $offdelim $onlisting -; +/ ; $offempty $onempty @@ -1736,6 +1687,7 @@ $onlisting / ; $offempty + set forced_retire(i,r,t) ; forced_retire(i,r,t)$[sum{st$r_st(r,st), (yeart(t)>=forced_retirements(i,st))$forced_retirements(i,st) }] = yes ; @@ -1743,6 +1695,8 @@ forced_retire(i,r,t)$[sum{st$r_st(r,st), (yeart(t)>=forced_retirements(i,st))$fo * upgrade tech in forced_retire forced_retire(i,r,t)$[upgrade(i)$(sum{ii$upgrade_to(i,ii), forced_retire(ii,r,t) })] = yes ; + + set hintage_char "characteristics available in hintage_data" / $offlisting @@ -1928,7 +1882,7 @@ $onlisting $offempty parameter geo_discovery(i,r,allt) "--fraction-- fraction of undiscovered geothermal that has been 'discovered'" ; -geo_discovery(i,r,t)$geo_hydro(i) = (1 - geo_discovery_factor(i,r)) * geo_discovery_rate(t) + geo_discovery_factor(i,r) ; +geo_discovery(i,r,t)$[geo_hydro(i)$tmodel_new(t)] = (1 - geo_discovery_factor(i,r)) * geo_discovery_rate(t) + geo_discovery_factor(i,r) ; * read data defining increase in hydropower upgrade availability over time. should only exist for hydUD and hydUND $onempty @@ -2011,11 +1965,12 @@ parameter binned_heatrates(i,v,r,allt) "--MMBtu / MWh-- existing capacity binned binned_heatrates(i,v,r,allt) = hintage_data(i,v,r,allt,"wHR") ; -*Created by hourlize -*declared over allt to allow for external data files that extend beyond end_year +* Created by hourlize +* Declared over allt to allow for external data files that extend beyond end_year * Written by writesupplycurves.py +* Exogeneous onshore wind cap $onempty -parameter exog_wind_ons_rsc(i,r,rscbin,allt) "exogenous (pre-tfirst) wind capacity binned by capacity factor and rscbin" +parameter exog_wind_ons_rsc(i,r,rscbin,allt) "exogenous (pre-tfirst) wind-ons capacity binned by capacity factor and rscbin" / $offlisting $ondelim @@ -2025,12 +1980,25 @@ $onlisting / ; $offempty -parameter exog_wind_ons(i,r,allt) "exogenous (pre-tfirst) wind capacity binned by capacity factor" ; +parameter exog_wind_ons(i,r,allt) "exogenous (pre-tfirst) wind-ons capacity binned by capacity factor" ; exog_wind_ons(i,r,t) = sum{rscbin, exog_wind_ons_rsc(i,r,rscbin,t) } ; -*Created by hourlize -*declared over allt to allow for external data files that extend beyond end_year -* Written by writesupplycurves.py +* Exogeneous offshore wind cap +$onempty +parameter exog_wind_ofs_rsc(i,r,rscbin,allt) "exogenous (pre-tfirst) wind-ofs capacity binned by capacity factor and rscbin" +/ +$offlisting +$ondelim +$include inputs_case%ds%exog_wind_ofs_rsc.csv +$offdelim +$onlisting +/ ; +$offempty + +parameter exog_wind_ofs(i,r,allt) "exogenous (pre-tfirst) wind-ofs capacity binned by capacity factor" ; +exog_wind_ofs(i,r,t) = sum{rscbin, exog_wind_ofs_rsc(i,r,rscbin,t) } ; + +* Exogeneous upv cap $onempty parameter exog_upv_rsc(i,r,rscbin,allt) "exogenous (pre-tfirst) upv capacity binned by capacity factor and rscbin" / @@ -2106,31 +2074,38 @@ capacity_exog(i,"init-1",r,t)$geo_egs(i) = geo_cap_exog(i,r) ; * also have expiration of capital if t - tfirst is greater than the maximum age * note the first conditional limits this calculation to units that * do NOT have their capacity binned by heat rates (this include distpv for reasons explained below) -capacity_exog(i,"init-1",r,t)${[yeart(t)-sum{tt$tfirst(tt),yeart(tt) }=yeart(tt)], prescribednonrsc(tt,pcat,r,"value") } ; +m_required_prescriptions(i,v,r,t)$tmodel_new(t) + = sum{tt$[yeart(t)>=yeart(tt)], prescribednonrsc(i,v,r,tt) } ; -m_required_prescriptions(pcat,r,t)$[tmodel_new(t) - $(sum{tt$[yeart(t)>=yeart(tt)], prescribedrsc(tt,pcat,r,"value") } - or caprsc(pcat,r,"value"))] - = sum{(tt)$[(yeart(t) >= yeart(tt))], prescribedrsc(tt,pcat,r,"value") } - + caprsc(pcat,r,"value") +m_required_prescriptions(i,v,r,t)$[tmodel_new(t) + $(sum{tt$[yeart(t)>=yeart(tt)], prescribedrsc(i,v,r,tt) } + or m_capacity_exog(i,v,r,t) )$rsc_i(i)] + = sum{(tt)$[(yeart(t) >= yeart(tt))], prescribedrsc(i,v,r,tt) } + + m_capacity_exog(i,v,r,t) ; -m_required_prescriptions_energy(pcat,r,t)$tmodel_new(t) - = sum{tt$[yeart(t)>=yeart(tt)], prescribednonrsc_energy(tt,pcat,r,"value") } ; +m_required_prescriptions_energy(i,v,r,t)$tmodel_new(t) + = sum{tt$[yeart(t)>=yeart(tt)], prescribednonrsc_energy(i,v,r,tt) } ; -parameter degrade(i,t,tt) "degradation factor by i" - degrade_pcat(pcat,t,tt) "degradation factor by pcat" ; +parameter degrade(i,t,tt) "degradation factor by i" ; parameter degrade_annual(i) "annual degredation rate" / @@ -2320,33 +2294,45 @@ degrade(i,t,tt)$[(yeart(tt)>=yeart(t))$(not ban(i))] = (1-degrade_annual(i))**(y set prescription_check(i,v,r,t) "check to see if prescriptive capacity comes online in a given year" ; -parameter noncumulative_prescriptions(pcat,r,t) "--MW-- prescribed capacity that comes online in a given year" ; +parameter prescribed_build(i,v,r,t) "--MW-- prescribed capacity that comes online in a given year" ; * need to fill in for unmodeled, gap years via tprev but * tprev is not defined with tprev(t,tfirst) -noncumulative_prescriptions(pcat,r,t)$tmodel_new(t) - = sum{tt$[(yeart(tt)<=yeart(t) +prescribed_build(i,v,r,t)$tmodel_new(t) + = sum{(tt)$[(yeart(tt)<=yeart(t) * this condition populates values of tt which exist between the * previous modeled year and the current year $(yeart(tt)>sum{ttt$tprev(t,ttt), yeart(ttt) })) ], - prescribednonrsc(tt,pcat,r,"value") + prescribedrsc(tt,pcat,r,"value") + prescribednonrsc(i,v,r,tt) + prescribedrsc(i,v,r,tt) } ; -parameter noncumulative_prescriptions_energy(pcat,r,t) "--MWh-- prescribed energy capacity that comes online in a given year" ; -noncumulative_prescriptions_energy(pcat,r,t)$tmodel_new(t) - = sum{tt$[(yeart(tt)<=yeart(t) +parameter prescribed_build_energy(i,v,r,t) "--MWh-- prescribed energy capacity that comes online in a given year" ; +prescribed_build_energy(i,v,r,t)$tmodel_new(t) + = sum{(tt)$[(yeart(tt)<=yeart(t) $(yeart(tt)>sum{ttt$tprev(t,ttt), yeart(ttt) })) ], - prescribednonrsc_energy(tt,pcat,r,"value") + prescribednonrsc_energy(i,v,r,tt) } ; -prescription_check(i,newv,r,t)$[sum{pcat$prescriptivelink(pcat,i), noncumulative_prescriptions(pcat,r,t) } + +parameter prescribed_retirements(i,v,r,t,tt) "--MW-- prescribed retirement capacity that comes online in tt year and retires in t year" ; +* need to fill in for unmodeled, gap years via tprev but +* tprev is not defined with tprev(t,tfirst) +prescribed_retirements(i,v,r,t,tt)$[tmodel_new(tt)$tmodel_new(t)] + = prescribedretirements(i,v,r,t,tt,"prescribed") ; + +parameter prescribed_retirements_energy(i,v,r,t,tt) "--MWh-- prescribed retirement energy capacity that comes online in tt year and retires in t year" ; +prescribed_retirements_energy(i,v,r,t,tt)$[tmodel_new(tt)$tmodel_new(t)] + = prescribedretirements_energy(v,r,i,t,tt,"prescribed") ; + + +prescription_check(i,newv,r,t)$[prescribed_build(i,newv,r,t) $ivt(i,newv,t)$tmodel_new(t)$(not ban(i))] = yes ; *Extend feasibility for prescribed rsc capacity where there is no supply curve data. *Resource will be manualy added to supply curve in bin1 in these cases. *Only enable for bin1 if there is no resource in any bins to keep parameter size down. -m_rscfeas(r,i,"bin1")$[sum{(pcat,t)$[sameas(pcat,i)$tmodel_new(t)], noncumulative_prescriptions(pcat,r,t) }$rsc_i(i)$(not bannew(i))$(sum{rscbin, rsc_dat(i,r,"cap",rscbin) }=0)] = yes ; +m_rscfeas(r,i,"bin1")$[sum{(newv,t)$[tmodel_new(t)], prescribed_build(i,newv,r,t) }$rsc_i(i)$(not bannew(i))$(sum{rscbin, rsc_dat(i,r,"cap",rscbin) }=0)] = yes ; *========================================================== *--- Interconnection queues (Capacity deployment limit) --- @@ -2473,7 +2459,6 @@ valcap(i,v,r,t)$[sum{tt$[tt.val = Sw_UpgradeYear], m_capacity_exog(i,v,r,tt) } *and if it is not in ban or bannew *the year also needs to be greater than the first year indicated *for that specific class (this is the summing over tt portion) -*or it needs to be specified in prescriptivelink valcap(i,newv,r,t)$[(not rsc_i(i))$tmodel_new(t)$(not ban(i))$(not bannew(i)) $(sum{tt$(yeart(tt)<=yeart(t)), ivt(i,newv,tt) })$(not upgrade(i)) ] = yes ; @@ -2490,28 +2475,25 @@ valcap(i,newv,r,t)$[rsc_i(i)$tmodel_new(t)$(not ban(i))$(not bannew(i)) *enable capacity if there is a required prescription in that region *first for non-rsc techs valcap(i,newv,r,t)$[(not rsc_i(i)) - $(sum{pcat$prescriptivelink(pcat,i), m_required_prescriptions(pcat,r,t) }) - $sum{tt$[sum{pcat$prescriptivelink(pcat,i), m_required_prescriptions(pcat,r,tt) } - $(yeart(tt)<=yeart(t))], ivt(i,newv,tt) } - $(not ban(i))] = yes ; - + $( m_required_prescriptions(i,newv,r,t)) + $sum{tt$[m_required_prescriptions(i,newv,r,tt) + $(yeart(tt)<=yeart(t))], ivt(i,newv,tt) }$(not ban(i))] = yes ; *then for rsc techs valcap(i,newv,r,t)$[rsc_i(i) - $(sum{pcat$prescriptivelink(pcat,i), m_required_prescriptions(pcat,r,t) }) - $sum{tt$[sum{pcat$prescriptivelink(pcat,i), m_required_prescriptions(pcat,r,tt) } - $(yeart(tt)<=yeart(t))], ivt(i,newv,tt) } - $(not ban(i)) + $ m_required_prescriptions(i,newv,r,t) + $sum{tt$[m_required_prescriptions(i,newv,r,tt) + $(yeart(tt)<=yeart(t))], ivt(i,newv,tt) }$(not ban(i)) $sum{rscbin, m_rscfeas(r,i,rscbin) }] = yes ; * Techs where new investment are banned: Start by removing from valcap valcap(i,newv,r,t)$bannew(i) = no ; * Then add back only if they have prescribed capacity in years with the appropriate i/v/t combination valcap(i,newv,r,t) - $[bannew(i) - $(not ban(i)) - $sum{(tt,pcat)$[ivt(i,newv,tt)$prescriptivelink(pcat,i)], - noncumulative_prescriptions(pcat,r,tt) }] - = yes ; + $[bannew(i) + $(not ban(i)) + $ivt(i,newv,t) + $prescribed_build(i,newv,r,t)] + = yes ; *NEW capacity only valid in historical years if and only if it has required prescriptions *logic here is that we don't want to populate the constraint with CAP <= 0 and instead @@ -2521,8 +2503,7 @@ valcap(i,newv,r,t) *therefore remove the consideration of valcap if... valcap(i,newv,r,t)$[ *if there are no required prescriptions - (not sum{pcat$prescriptivelink(pcat,i), - m_required_prescriptions(pcat,r,t) } ) + (not m_required_prescriptions(i,newv,r,t)) *if the year is before the first year the technology is allowed $(yeart(t)2010] = cd_beta0_allsector(cendiv) ; -nat_beta(t)$(not tfirst(t)) = nat_beta_energy ; +nat_beta(t)$[t.val>2010] = nat_beta_energy ; $else.gassector -*beginning year value is zero (i.e., no elasticity) -cd_beta(cendiv,t)$[not tfirst(t)] = cd_beta0(cendiv) ; +*beginning year value of 2010 is zero (i.e., no elasticity) +cd_beta(cendiv,t)$[t.val>2010] = cd_beta0(cendiv) ; *see documentation for how value is calculated -nat_beta(t)$(not tfirst(t)) = nat_beta_nonenergy ; +nat_beta(t)$[t.val>2010] = nat_beta_nonenergy ; $endif.gassector @@ -6301,15 +6281,15 @@ m_rsc_dat_original(r,i,rscbin,sc_cat) = m_rsc_dat(r,i,rscbin,sc_cat) ; * Reduced Resource Switch *========================================= -parameter rsc_reduct_frac(pcat,r) "--unitless-- fraction of renewable resource that is reduced from the supply curve" - prescrip_rsc_frac(pcat,r) "--unitless-- fraction of prescribed builds to the resource available" +parameter rsc_reduct_frac(i,r) "--unitless-- fraction of renewable resource that is reduced from the supply curve" + prescrip_rsc_frac(i,r) "--unitless-- fraction of prescribed builds to the resource available" rsc_capacity_scalar(i,r,t) "--unitless-- resource scalar for any technology that has a change in the supply curve capacity over time" ; set rsc_capacity_scalar_i(i) "technologies that have a capacity resource scalar" ; -rsc_reduct_frac(pcat,r) = 0 ; -prescrip_rsc_frac(pcat,r) = 0 ; +rsc_reduct_frac(i,r) = 0 ; +prescrip_rsc_frac(i,r) = 0 ; rsc_capacity_scalar(i,r,t) = 0 ; rsc_capacity_scalar_i(i) = no ; @@ -6317,30 +6297,26 @@ rsc_capacity_scalar_i(i) = no ; if (Sw_ReducedResource = 1, *Calculate the fraction of prescribed builds to the available resource * 2021-05-05 the prescriptions are being applied across all years until we decide a better way to do this - prescrip_rsc_frac(pcat,r)$[sum{(i,rscbin)$prescriptivelink(pcat,i), m_rsc_dat(r,i,rscbin,"cap") } > 0] = - smax(tt,m_required_prescriptions(pcat,r,tt)) / sum{(i,rscbin)$prescriptivelink(pcat,i), m_rsc_dat(r,i,rscbin,"cap") } ; + prescrip_rsc_frac(i,r)$[sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } > 0] = + smax((tt),sum{newv,m_required_prescriptions(i,newv,r,tt)}) / sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } ; *Set the default resource reduction fraction - rsc_reduct_frac(pcat,r) = reduced_resource_frac ; + rsc_reduct_frac(i,r) = reduced_resource_frac ; *If the resource reduction fraction will reduce the resource to the point that prescribed builds will be infeasible, *then replace the resource reduction fraction with the maximum that the resource can be reduced to still have a feasible solution - rsc_reduct_frac(pcat,r)$[prescrip_rsc_frac(pcat,r) > (1 - rsc_reduct_frac(pcat,r))] = 1 - prescrip_rsc_frac(pcat,r) ; + rsc_reduct_frac(i,r)$[prescrip_rsc_frac(i,r) > (1 - rsc_reduct_frac(i,r))] = 1 - prescrip_rsc_frac(i,r) ; *In order to avoid small number issues, round down at the 3rd decimal place *Because the floor function returns an integer, we multiply and divide by 1000 to get proper rounding - rsc_reduct_frac(pcat,r) = rsc_reduct_frac(pcat,r) * 1000 ; - rsc_reduct_frac(pcat,r) = floor(rsc_reduct_frac(pcat,r)) ; - rsc_reduct_frac(pcat,r) = rsc_reduct_frac(pcat,r) / 1000 ; + rsc_reduct_frac(i,r) = rsc_reduct_frac(i,r) * 1000 ; + rsc_reduct_frac(i,r) = floor(rsc_reduct_frac(i,r)) ; + rsc_reduct_frac(i,r) = rsc_reduct_frac(i,r) / 1000 ; *Now reduce the resource by the updated resource reduction fraction *(only do this for hydro, geothermal, PSH, and CSP; PV and wind have limited resource supply curves) m_rsc_dat(r,i,rscbin,"cap")$[rsc_i(i)$(csp(i) or hydro(i) or psh(i) or geo(i))] = - m_rsc_dat(r,i,rscbin,"cap") * (1 - sum{pcat$prescriptivelink(pcat,i), rsc_reduct_frac(pcat,r) }) ; + m_rsc_dat(r,i,rscbin,"cap") * (1 - rsc_reduct_frac(i,r)) ; ) ; -*Currently only geothermal and dr_shed have supply curve capacities that change over time -rsc_capacity_scalar(i,r,t) = geo_discovery(i,r,t) + dr_shed_capacity_scalar(i,r,t) ; -rsc_capacity_scalar_i(i)$[sum{(r,t), rsc_capacity_scalar(i,r,t) }] = yes ; - *convert UPV and PVB interconnection costs from $/MW-AC to $/MW-DC using ILR m_rsc_dat(r,i,rscbin,"cost")$[m_rsc_dat(r,i,rscbin,"cap")$(upv(i) or pvb(i))] = m_rsc_dat(r,i,rscbin,"cost") / ilr(i) ; @@ -6356,21 +6332,24 @@ m_rsc_dat(r,i,rscbin,"cap")$[rsc_i(i) ceil(1000 * sum{(ii,v,tt)$[tfirst(tt)$rsc_agg(i,ii)$exog_rsc(i)], capacity_exog_rsc(ii,v,r,rscbin,tt) / (1$[not rsc_capacity_scalar_i(ii)] + rsc_capacity_scalar(ii,r,tt)$rsc_capacity_scalar_i(ii)) } ) / 1000 ; + +*** Do we need this part when pcat is removed? *Ensure sufficient resource availability to cover prescribed builds *while considering existing capacity (capacity_exog_rsc) *and prescribed capacity (noncumulative_prescriptions). *Two types of adjustments: -*1- If at least one element of m_rsc_dat(r,i,rscbin,"cap") is nonzero within a technology group (pcat), +*1- If at least one element of m_rsc_dat(r,i,rscbin,"cap") is nonzero within a technology group, * apply a multiplier to all associated i-classes so that the total available capacity * meets or exceeds prescribed capacity. *2- If m_rsc_dat(r,i,rscbin,"cap") is zero for all i-classes within the technology group, * but prescribed capacity exists, assign prescribed capacity to the first bin at zero cost. *Define auxiliary parameters to organize the computation -parameter cap_existing(i,r) "--MW-- amount of existing resource supply curve (rsc) capacity in each region" - cap_prescribed(i,r) "--MW-- amount of prescribed (required builds) rsc capacity in each region" - available_supply(i,r) "--MW-- amount of available rsc supply in each region" +parameter cap_existing(i,r) "--MW-- amount of existing resource supply curve (rsc) capacity in each region" + cap_prescribed(i,r,t) "--MW-- amount of prescribed (required builds) rsc capacity in each region and year" + cap_prescribed_ir(i,r) "--MW-- amount of prescribed (required builds) rsc capacity in each region" + available_supply(i,r) "--MW-- amount of available rsc supply in each region" ; *Initialize the available supply to zero @@ -6380,33 +6359,25 @@ available_supply(i,r) = 0 ; cap_existing(i,r)$exog_rsc(i) = sum{(v,t,rscbin)$[tfirst(t)], capacity_exog_rsc(i,v,r,rscbin,t) } ; *Get prescribed capacity -cap_prescribed(i,r)$rsc_i(i) = sum{(pcat,t)$[(sameas(pcat,i) or prescriptivelink(pcat,i)) - $tmodel_new(t)], - noncumulative_prescriptions(pcat,r,t) } ; +cap_prescribed(i,r,t)$[rsc_i(i)$tmodel_new(t)] = sum{v, prescribed_build(i,v,r,t) } ; +cap_prescribed_ir(i,r)$rsc_i(i) = sum{t$tmodel_new(t), cap_prescribed(i,r,t) } ; -*Loop over all regions -loop(r, -*Loop over non-geothermal rsc technologies - loop(i$[rsc_i(i)$sum{(v,t)$newv(v), valcap(i,v,r,t) }$(not prescriptivelink("geothermal",i))], -*Get total available supply for all ii associated with pcat of i. -*For example, if i = {upv_2}, then ii = {upv_2, upv_3, ...} and pcat = {UPV}. - available_supply(i,r) = sum{(pcat,ii,rscbin)$[prescriptivelink(pcat,i) - $prescriptivelink(pcat,ii)], - m_rsc_dat(r,ii,rscbin,"cap") } ; +*Get total available supply for all i . +available_supply(i,r)$[rsc_i(i)$sum{(v,t)$newv(v), valcap(i,v,r,t) }$(not sameas("geothermal",i))] = sum{rscbin, m_rsc_dat(r,i,rscbin,"cap") } ; *Apply multiplier if prescribed capacity exceeds available supply - if ([((cap_existing(i,r) + cap_prescribed(i,r)) > available_supply(i,r))$(available_supply(i,r))], - m_rsc_dat(r,ii,rscbin,"cap")$[sum{pcat$(prescriptivelink(pcat,i)$prescriptivelink(pcat,ii)), 1 }] - = m_rsc_dat(r,ii,rscbin,"cap") * ((cap_existing(i,r) + cap_prescribed(i,r)) / available_supply(i,r)) ; - ) ; +m_rsc_dat(r,i,rscbin,"cap")$[((cap_existing(i,r) + cap_prescribed_ir(i,r)) > available_supply(i,r)) + $(available_supply(i,r))] + = m_rsc_dat(r,i,rscbin,"cap") * ((cap_existing(i,r) + cap_prescribed_ir(i,r)) / available_supply(i,r)) ; + *Assign prescribed capacity to first bin at no cost if no supply is available - if ([(cap_prescribed(i,r) > 0)$(not available_supply(i,r))] , - m_rsc_dat(r,i,"bin1","cap") = cap_prescribed(i,r) ; - ) ; - ) ; -) ; + +m_rsc_dat(r,i,"bin1","cap")$[(cap_prescribed_ir(i,r) > 0)$(not available_supply(i,r)) + $sum{(v,t)$newv(v), valcap(i,v,r,t) }$(not sameas("geothermal",i))] + = cap_prescribed_ir(i,r) ; + *Compute the difference between m_rsc_dat_original and m_rsc_dat parameter rsc_cap_diff(r,i,rscbin) "--MW or $/MW-- total supply added to m_rsc_dat to adjust for prescriptions" ; @@ -6415,24 +6386,44 @@ rsc_cap_diff(r,i,rscbin) = m_rsc_dat(r,i,rscbin,"cap") - m_rsc_dat_original(r,i, *Round up to the nearest 3rd decimal place m_rsc_dat(r,i,rscbin,"cap")$m_rsc_dat(r,i,rscbin,"cap") = ceil(m_rsc_dat(r,i,rscbin,"cap") * 1000) / 1000 ; -*Geothermal is not a tech with sameas(i,pcat), so handle it separately here -*Loop over regions that have geothermal prescribed builds -loop(r$sum{(i,t)$[prescriptivelink("geothermal",i)$tmodel_new(t)], noncumulative_prescriptions("geothermal",r,t) }, -*Then loop over eligible geothermal technologies - loop(i$[prescriptivelink("geothermal",i)$sum{(v,t)$newv(v), valcap(i,v,r,t) }$geo_discovery(i,r,"%startyear%")], -*If capacity is insufficient, add enough capacity to make the model feasible -*Use the 2010 geothermal discovery (geo_discovery) rate for the calculation. That will slightly -*overestimate geothermal resource for any prescribed builds happening after the discovery rate -*begins to increase (currently after 2021) - m_rsc_dat(r,i,"bin1","cap")$[((sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } * (1$[not geo_hydro(i)] + geo_discovery(i,r,"%startyear%")$geo_hydro(i))) < sum{t$tmodel_new(t), noncumulative_prescriptions("geothermal",r,t) }) - $(1$[not geo_hydro(i)] + geo_discovery(i,r,"%startyear%")$geo_hydro(i))] = - (sum{t$tmodel_new(t), noncumulative_prescriptions("geothermal",r,t) } - - sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } - + m_rsc_dat(r,i,"bin1","cap") - ) / (1$[not geo_hydro(i)] + geo_discovery(i,r,"%startyear%")$geo_hydro(i)) ; - break ; - ) ; -) ; +*Currently only geothermal and dr_shed have supply curve capacities that change over time +* Assign geo_discovery_factor = 1 if geo_discovery_factor for prescribed build is missing +geo_discovery(i,r,t)$[geo_hydro(i)$cap_prescribed_ir(i,r)$(not geo_discovery(i,r,t))$tmodel_new(t)] = 1 ; + +parameter geo_bin1_add_orig(i,r) "--MW-- additional geothermal bin1 resource needed so all prescribed years are feasible with original geo_discovery" + geo_bin1_add(i,r) "--MW-- additional geothermal bin1 resource needed so all prescribed years are feasible with updated geo_discovery" ; + +*Find incremental bin1 capacity needed so that, for all model years t with prescriptions, +*total geothermal resource scaled by geo_discovery(i,r,t) is at least cumulative prescribed builds. +geo_bin1_add_orig(i,r)$[geo_hydro(i)$cap_prescribed_ir(i,r)] = + ( cap_prescribed_ir(i,r) + / smin{t$[geo_discovery(i,r,t)$tmodel_new(t) + $sum{tt$[yeart(tt)<=yeart(t)], cap_prescribed(i,r,tt) }], geo_discovery(i,r,t) } ) + - sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } ; + +* If there is not sufficient geothermal resource (i.e., geo_bin1_add_orig is positive), then +* set geo_discovery to 1 for that region for years after the prescribed builds start +geo_discovery(i,r,t)$[geo_hydro(i)$[geo_bin1_add_orig(i,r) > 0] + $tmodel_new(t)$cap_prescribed_ir(i,r) + $(yeart(t)>=smin{tt$[cap_prescribed(i,r,tt)], yeart(tt) })] = 1 ; + +* Now recompute the geo_bin1_add parameter with the updated geo_discovery values +geo_bin1_add(i,r)$[geo_hydro(i)$cap_prescribed_ir(i,r)] = + ( cap_prescribed_ir(i,r) + / smin{t$[geo_discovery(i,r,t)$tmodel_new(t) + $sum{tt$[yeart(tt)<=yeart(t)], cap_prescribed(i,r,tt) }], geo_discovery(i,r,t) } ) + - sum{(rscbin), m_rsc_dat(r,i,rscbin,"cap") } ; + +* Only use positive values of geo_bin1_add, as negative values would indicate that the +* existing resource is already sufficient to cover prescriptions +geo_bin1_add(i,r)$[geo_hydro(i)$(geo_bin1_add(i,r) < 0)] = 0 ; + +* Add any additional resource needed to the first bin of the supply curve +m_rsc_dat(r,i,"bin1","cap")$[geo_hydro(i)$geo_bin1_add(i,r)] = + m_rsc_dat(r,i,"bin1","cap") + geo_bin1_add(i,r) ; + +rsc_capacity_scalar(i,r,t) = ceil(1000 *geo_discovery(i,r,t) + dr_shed_capacity_scalar(i,r,t) ) / 1000 ; +rsc_capacity_scalar_i(i)$[sum{(r,t), rsc_capacity_scalar(i,r,t) }] = yes ; * * Apply spur-line cost multiplier for relevant technologies * m_rsc_dat(r,i,rscbin,"cost")$(pv(i) or pvb(i) or wind(i) or csp(i)) = @@ -6452,10 +6443,10 @@ m_rsc_dat(r,i,rscbin,sc_cat)$[sum{ii$rsc_agg(ii,i), m_rsc_dat(r,ii,rscbin,sc_cat sum{ii$rsc_agg(ii,i), m_rsc_dat(r,ii,rscbin,sc_cat) } ; -set force_pcat(pcat,t) "conditional to indicate whether the force prescription equation should be active for pcat" ; +set force_prescribe(i,v,r,t) "conditional to indicate whether the force prescription equation should be active for technology i and vintage v in year t" ; -force_pcat(pcat,t)$[yeart(t) < firstyear_pcat(pcat)] = yes ; -force_pcat(pcat,t)$[sum{r, noncumulative_prescriptions(pcat,r,t) }] = yes ; +force_prescribe(i,v,r,t)$[(yeart(t) < firstyear(i))$newv(v)] = yes ; +force_prescribe(i,v,r,t)$[ prescribed_build(i,v,r,t)] = yes ; *========================================= * Decoupled Capacity/Energy Upgrades for hydropower diff --git a/reeds/core/setup/c_model.gms b/reeds/core/setup/c_model.gms index c6a8b834..f0fb714b 100644 --- a/reeds/core/setup/c_model.gms +++ b/reeds/core/setup/c_model.gms @@ -32,8 +32,8 @@ positive variables GROWTH_BIN(gbin,i,st,t) "--MW-- total new (from INV) generation capacity in each growth bin by state and technology group" INV(i,v,r,t) "--MW-- generation capacity additions in year t" INV_ENERGY(i,v,r,t) "--MWh-- generation energy capacity additions in year t" - EXTRA_PRESCRIP(pcat,r,t) "--MW-- builds beyond those prescribed power capacity once allowed in firstyear(pcat) - exceptions for gas-ct, wind-ons, and wind-ofs" - EXTRA_PRESCRIP_ENERGY(pcat,r,t) "--MWh-- builds beyond those prescribed battery energy capacity once allowed in firstyear(pcat)" + EXTRA_PRESCRIP(i,v,r,t) "--MW-- builds beyond those prescribed power capacity once allowed in firstyear(i) - exceptions for gas-ct, wind-ons, and wind-ofs" + EXTRA_PRESCRIP_ENERGY(i,v,r,t) "--MWh-- builds beyond those prescribed battery energy capacity once allowed in firstyear(i)" INV_CAP_UP(i,v,r,rscbin,t) "--MW-- upsized generation capacity addition in year t" INV_ENER_UP(i,v,r,rscbin,t) "--MW-- upsized energy addition in year t using capacity factor to convert to capacity units" INV_REFURB(i,v,r,t) "--MW-- investment in refurbishments of technologies that use a resource supply curve" @@ -160,8 +160,8 @@ EQUATION eq_cap_up(i,v,r,rscbin,t) "--MW-- limit on capacity upsizing" eq_cap_upgrade(i,v,r,t) "--MW-- All purchased upgrades are greater than or equal to the sum of upgraded capacity" eq_ener_up(i,v,r,rscbin,t) "--MW-- limit on energy upsizing" - eq_forceprescription_power(pcat,r,t) "--MW-- total power investment in prescribed capacity must equal amount from exogenous prescriptions" - eq_forceprescription_energy(pcat,r,t) "--MWh-- total energy investment in prescribed capacity must equal amount from exogenous prescriptions" + eq_forceprescription_power(i,v,r,t) "--MW-- total power investment in prescribed capacity must equal amount from exogenous prescriptions" + eq_forceprescription_energy(i,v,r,t) "--MWh-- total energy investment in prescribed capacity must equal amount from exogenous prescriptions" eq_refurblim(i,r,t) "--MW-- total refurbishments cannot exceed the amount of capacity that has reached the end of its life" * renewable supply curves @@ -692,11 +692,15 @@ eq_cap_init_retmo(i,v,r,t)$[valcap(i,v,r,t)$tmodel(t)$initv(v)$(not upgrade(i)) eq_cap_new_noret(i,v,r,t)$[valcap(i,v,r,t)$tmodel(t)$newv(v)$(not upgrade(i)) $(not retiretech(i,v,r,t))$(not Sw_PCM)].. - + sum{tt$[inv_cond(i,v,r,t,tt)$(tmodel(tt) or tfix(tt))$valcap(i,v,r,tt)], degrade(i,tt,t) * (INV(i,v,r,tt) + INV_REFURB(i,v,r,tt)$[refurbtech(i)$Sw_Refurb]) } + - sum{(tt,ttt)$[inv_cond(i,v,r,tt,ttt)$(tmodel(tt) or tfix(tt))$valcap(i,v,r,ttt)$(tt.val>=ttt.val)$(t.val>=tt.val)], + degrade(i,ttt,tt) * prescribed_retirements(i,v,r,tt,ttt) + } + * Account for capacity upsizing within new vintages + sum{(tt,rscbin)$[(tmodel(tt) or tfix(tt))$allow_cap_up(i,v,r,rscbin,tt)], degrade(i,tt,t) * INV_CAP_UP(i,v,r,rscbin,tt) } @@ -726,7 +730,11 @@ eq_cap_new_noret(i,v,r,t)$[valcap(i,v,r,t)$tmodel(t)$newv(v)$(not upgrade(i)) eq_cap_energy_new_noret(i,v,r,t)$[valcap(i,v,r,t)$tmodel(t)$battery(i)$(not Sw_PCM)].. sum{tt$[inv_cond(i,v,r,t,tt)$(tmodel(tt) or tfix(tt))$valcap(i,v,r,tt)], - degrade(i,tt,t) * INV_ENERGY(i,v,r,tt) + degrade(i,tt,t) * (INV_ENERGY(i,v,r,tt)) + } + + - sum{(tt,ttt)$[inv_cond(i,v,r,tt,ttt)$(tmodel(tt) or tfix(tt))$valcap(i,v,r,ttt)$(tt.val>=ttt.val)$(t.val>=tt.val)], + degrade(i,ttt,tt) * prescribed_retirements_energy(i,v,r,tt,ttt) } + m_capacity_exog_energy(i,v,r,t) @@ -746,6 +754,10 @@ eq_cap_new_retub(i,v,r,t)$[valcap(i,v,r,t)$tmodel(t)$newv(v)$(not upgrade(i)) degrade(i,tt,t) * (INV(i,v,r,tt) + INV_REFURB(i,v,r,tt)$[refurbtech(i)$Sw_Refurb]) } + - sum{(tt,ttt)$[inv_cond(i,v,r,tt,ttt)$(tmodel(tt) or tfix(tt))$valcap(i,v,r,ttt)$(tt.val>=ttt.val)$(t.val>=tt.val)], + degrade(i,ttt,tt) * prescribed_retirements(i,v,r,tt,ttt) + } + * Account for capacity upsizing within new vintages + sum{(tt,rscbin)$[(tmodel(tt) or tfix(tt))$allow_cap_up(i,v,r,rscbin,tt)], degrade(i,tt,t) * INV_CAP_UP(i,v,r,rscbin,tt) } @@ -915,29 +927,27 @@ eq_ener_up(i,v,r,rscbin,t)$[tmodel(t)$allow_ener_up(i,v,r,rscbin,t)$(not Sw_PCM) * --------------------------------------------------------------------------- * Prescribe power capacity -eq_forceprescription_power(pcat,r,t) - $[tmodel(t)$force_pcat(pcat,t)$Sw_ForcePrescription - $sum{(i,newv)$[prescriptivelink(pcat,i)], valinv(i,newv,r,t) } +eq_forceprescription_power(i,newv,r,t) + $[tmodel(t)$force_prescribe(i,newv,r,t)$Sw_ForcePrescription + $valinv(i,newv,r,t) $(not Sw_PCM)].. *capacity built in the current period or prior - sum{(i,newv,tt)$[valinv(i,newv,r,tt)$prescriptivelink(pcat,i) - $(yeart(tt)<=yeart(t))$(tmodel(tt) or tfix(tt))], - INV(i,newv,r,tt) + INV_REFURB(i,newv,r,tt)$[refurbtech(i)$Sw_Refurb]} + + INV(i,newv,r,t) + INV_REFURB(i,newv,r,t)$[refurbtech(i)$Sw_Refurb] =e= *must equal the cumulative prescribed amount - sum{tt$[(yeart(tt)<=yeart(t)) - $(tmodel(tt) or tfix(tt))], - noncumulative_prescriptions(pcat,r,tt)} + + prescribed_build(i,newv,r,t) * plus any extra power buildouts (no penalty here - used as free slack) * only on or after the first year the techs are available - + EXTRA_PRESCRIP(pcat,r,t)$[yeart(t)>=firstyear_pcat(pcat)] + + EXTRA_PRESCRIP(i,newv,r,t)$[yeart(t)>=firstyear(i)] * or in regions where there is a offshore wind requirement - + EXTRA_PRESCRIP(pcat,r,t)$[r_offshore(r,t)$sameas(pcat,'wind-ofs') + + EXTRA_PRESCRIP(i,newv,r,t)$[r_offshore(r,t) $(yeart(t)>=firstyear_RPS) $sum{st$r_st(r,st), offshore_cap_req(st,t) }] ; @@ -945,27 +955,23 @@ eq_forceprescription_power(pcat,r,t) * --------------------------------------------------------------------------- * Prescribe energy capacity -eq_forceprescription_energy(pcat,r,t) - $[tmodel(t)$force_pcat(pcat,t)$Sw_ForcePrescription - $sum{(i,newv)$[prescriptivelink(pcat,i)], valinv(i,newv,r,t) } - $(not Sw_PCM)].. +eq_forceprescription_energy(i,newv,r,t) + $[tmodel(t)$force_prescribe(i,newv,r,t)$Sw_ForcePrescription + $ valinv(i,newv,r,t) + $(not Sw_PCM) + $battery(i)].. *energy capacity built in the current period or prior - sum{(i,newv,tt)$[valinv(i,newv,r,tt)$prescriptivelink(pcat,i) - $(yeart(tt)<=yeart(t))$(tmodel(tt) or tfix(tt)) - $battery(i)], - INV_ENERGY(i,newv,r,tt)} + INV_ENERGY(i,newv,r,t) =e= *must equal the cumulative prescribed energy amount - sum{tt$[(yeart(tt)<=yeart(t)) - $(tmodel(tt) or tfix(tt))], - noncumulative_prescriptions_energy(pcat,r,tt)} + prescribed_build_energy(i,newv,r,t) * plus any extra energy buildouts (no penalty here - used as free slack) * only on or after the first year the techs are available - + EXTRA_PRESCRIP_ENERGY(pcat,r,t)$[yeart(t)>=firstyear_pcat(pcat)] + + EXTRA_PRESCRIP_ENERGY(i,newv,r,t)$[yeart(t)>=firstyear(i)] ; * --------------------------------------------------------------------------- diff --git a/reeds/core/solve/5_varfix.gms b/reeds/core/solve/5_varfix.gms index 85db2442..135edc01 100644 --- a/reeds/core/solve/5_varfix.gms +++ b/reeds/core/solve/5_varfix.gms @@ -41,8 +41,8 @@ INV_CAP_UP.fx(i,v,r,rscbin,tfix)$[allow_cap_up(i,v,r,rscbin,tfix)] = INV_CAP_UP. INV_ENER_UP.fx(i,v,r,rscbin,tfix)$[allow_ener_up(i,v,r,rscbin,tfix)] = INV_ENER_UP.l(i,v,r,rscbin,tfix) ; UPGRADES.fx(i,v,r,tfix)$[valcap(i,v,r,tfix)$upgrade(i)] = UPGRADES.l(i,v,r,tfix) ; UPGRADES_RETIRE.fx(i,v,r,tfix)$[valcap(i,v,r,tfix)$upgrade(i)] = UPGRADES_RETIRE.l(i,v,r,tfix) ; -EXTRA_PRESCRIP.fx(pcat,r,tfix)$[force_pcat(pcat,tfix)$sum{(i,newv)$[prescriptivelink(pcat,i)], valinv(i,newv,r,tfix) }] = EXTRA_PRESCRIP.l(pcat,r,tfix) ; -EXTRA_PRESCRIP_ENERGY.fx(pcat,r,tfix)$[force_pcat(pcat,tfix)$sum{(i,newv)$[prescriptivelink(pcat,i)], valinv(i,newv,r,tfix) }] = EXTRA_PRESCRIP_ENERGY.l(pcat,r,tfix) ; +EXTRA_PRESCRIP.fx(i,v,r,tfix)$[force_prescribe(i,v,r,tfix)$valinv(i,v,r,tfix)] = EXTRA_PRESCRIP.l(i,v,r,tfix) ; +EXTRA_PRESCRIP_ENERGY.fx(i,v,r,tfix)$[force_prescribe(i,v,r,tfix)$valinv(i,v,r,tfix)] = EXTRA_PRESCRIP_ENERGY.l(i,v,r,tfix) ; * generation and storage variables GEN.fx(i,v,r,h,tfix)$valgen(i,v,r,tfix) = GEN.l(i,v,r,h,tfix) ; diff --git a/reeds/core/terminus/report.gms b/reeds/core/terminus/report.gms index bb729367..7ca8dee4 100644 --- a/reeds/core/terminus/report.gms +++ b/reeds/core/terminus/report.gms @@ -629,13 +629,13 @@ gen_h(i,r,h,t)$[tmodel_new(t)$valgen_irt(i,r,t)] = * UPV capacity is already in MWac at this point (matching csp-ns), * so don't need to account for ILR. gen_h("csp-ns",r,h,t)$[cap_cspns(r,t)$tmodel_new(t)] - = cap_cspns(r,t) * m_cf("upv_6","new1",r,h,t) ; -* We have to take csp-ns generation from somewhere, so take it from upv_6 (which all the + = cap_cspns(r,t) * m_cf("upv_5","new1",r,h,t) ; +* We have to take csp-ns generation from somewhere, so take it from upv_5 (which all the * csp-ns-containing regions have) -gen_h("upv_6",r,h,t)$[cap_cspns(r,t)$tmodel_new(t)] - = gen_h("upv_6",r,h,t) - gen_h("csp-ns",r,h,t) ; +gen_h("upv_5",r,h,t)$[cap_cspns(r,t)$tmodel_new(t)] + = gen_h("upv_5",r,h,t) - gen_h("csp-ns",r,h,t) ; * Make sure it doesn't go negative, just in case -gen_h("upv_6",r,h,t)$[cap_cspns(r,t)$tmodel_new(t)$(gen_h("upv_6",r,h,t) < 0)] = 0 ; +gen_h("upv_5",r,h,t)$[cap_cspns(r,t)$tmodel_new(t)$(gen_h("upv_5",r,h,t) < 0)] = 0 ; gen_h_nat(i,h,t)$tmodel_new(t) = sum{r, gen_h(i,r,h,t) } ; * Do it again for stress periods @@ -805,9 +805,9 @@ cap_out(i,r,t)$[valcap_irt(i,r,t)$tmodel_new(t)] = sum{v$valcap(i,v,r,t), cap_iv cap_out("csp-ns",r,t)$[cap_cspns(r,t)$tmodel_new(t)] = cap_cspns(r,t) ; * We have to take csp-ns capacity from somewhere, so take it from upv_6 (which all the * csp-ns-containing regions have) -cap_out("upv_6",r,t)$[cap_cspns(r,t)$tmodel_new(t)] = cap_out("upv_6",r,t) - cap_cspns(r,t) ; +cap_out("upv_5",r,t)$[cap_cspns(r,t)$tmodel_new(t)] = cap_out("upv_5",r,t) - cap_cspns(r,t) ; * Make sure it doesn't go negative, just in case -cap_out("upv_6",r,t)$[cap_cspns(r,t)$tmodel_new(t)$(cap_out("upv_6",r,t) < 0)] = 0 ; +cap_out("upv_5",r,t)$[cap_cspns(r,t)$tmodel_new(t)$(cap_out("upv_5",r,t) < 0)] = 0 ; cap_nat(i,t)$tmodel_new(t) = sum{r, cap_out(i,r,t) } ; * Exogenous capacity (used by reeds_to_rev) diff --git a/reeds/input_processing/WriteHintage.py b/reeds/input_processing/WriteHintage.py index 68e01041..5f006beb 100644 --- a/reeds/input_processing/WriteHintage.py +++ b/reeds/input_processing/WriteHintage.py @@ -26,7 +26,7 @@ 4. Assign units to their nearest heat rate bin - if only one unique unit in a bin, assign its original heat rate - if more than one unit in a bin, assign the capacity-weighted average - 5. For all years from 2010-2100, compute the remaining amount of capacity + 5. For all years from start year to 2100, compute the remaining amount of capacity based on the units specified retirement date and compute the remaining units' capacity-weighted-average characteristics (FOM/VOM/HR/...) @@ -309,6 +309,7 @@ def main(reeds_path, inputs_case): GSw_RetireYears_Coal = int(sw.GSw_RetireYears_Coal) GSw_RetireYears_Thermal = int(sw.GSw_RetireYears_Thermal) GSw_Clean_Air_Act = int(sw.GSw_Clean_Air_Act) + startyear=int(sw.startyear) #%% # Inflation factor 1987$ to 2004$ @@ -441,7 +442,7 @@ def main(reeds_path, inputs_case): dat = dat[dat.TECH != 'others'].copy() # Remove some generators based on retire year and online year - dat = dat[(dat.RetireYear >= 2010) & (dat['onlineyear'] < 2010)].copy() + dat = dat[(dat.RetireYear >= startyear) & (dat['onlineyear'] < startyear)].copy() # Make unique ID column for generators id_delimiter = '' @@ -492,7 +493,7 @@ def main(reeds_path, inputs_case): combine_cols = level_cols + ['Winter.capacity'] # Adjust the HR, VOM, FOM, solveYearOnline, and winter capacity - for i in list(range(2010, tdat.RetireYear.max() + 1)): + for i in list(range(startyear, tdat.RetireYear.max() + 1)): # Subset on years earlier than i ydat = tdat.loc[tdat.RetireYear > i, ['id','bin','Summer.capacity'] + combine_cols] @@ -542,7 +543,7 @@ def main(reeds_path, inputs_case): dpv['wFOM'] = 0 dpv['Winter.capacity'] = dpv['Summer.capacity'] dpv['bin'] = 1 - dpv['solveYearOnline'] = 2010 + dpv['solveYearOnline'] = startyear dpv['year'] = dpv['year'].astype(int) # Concat dpv and the output dataframes diff --git a/reeds/input_processing/aggregate_regions.py b/reeds/input_processing/aggregate_regions.py index bdd9513a..a268d4e2 100644 --- a/reeds/input_processing/aggregate_regions.py +++ b/reeds/input_processing/aggregate_regions.py @@ -591,10 +591,12 @@ def agg_disagg(filepath, r2aggreg_glob, r_ba_glob, runfiles_row): if region_col != 'wide': if two_col : df_agg_in = dfin[dfin[region_col[0]].isin( - agglevel_variables['ba_regions'] + agglevel_variables['ba_transgrp'])] - df_agg_in = df_agg_in[ df_agg_in[region_col[1]].isin(agglevel_variables['ba_regions'])] + agglevel_variables['ba_regions'] + agglevel_variables['ba_transgrp'])] + df_agg_in = df_agg_in[ df_agg_in[region_col[1]].isin( + agglevel_variables['ba_regions'])] else: - df_agg_in = dfin[dfin[region_col].isin(agglevel_variables['ba_regions'])] + df_agg_in = dfin[dfin[region_col].isin( + agglevel_variables['ba_regions'])] else: col_list = row.fix_cols + agglevel_variables['ba_regions'] # Check if data exists for all BAs in agglevel_variables['ba_regions'] list @@ -619,8 +621,9 @@ def agg_disagg(filepath, r2aggreg_glob, r_ba_glob, runfiles_row): if region_col != 'wide': if two_col : df_agg_in = dfin[dfin[region_col[0]].isin( - agglevel_variables['ba_regions'] + agglevel_variables['ba_transgrp'])] - df_agg_in = df_agg_in[ df_agg_in[region_col[1]].isin(agglevel_variables['ba_regions'])] + agglevel_variables['ba_regions'] + agglevel_variables['ba_transgrp'])] + df_agg_in = df_agg_in[ df_agg_in[region_col[1]].isin( + agglevel_variables['ba_regions'])] else: df_agg_in = dfin[dfin[region_col].isin(agglevel_variables['ba_regions'])] @@ -658,12 +661,18 @@ def agg_disagg(filepath, r2aggreg_glob, r_ba_glob, runfiles_row): # are dropped but county-county and county-BA interfaces are kept df_disagg_list = [] for idx, tx_row in dfin.iterrows(): - cond1 = ((tx_row[region_col[0]] in agglevel_variables['ba_regions']+agglevel_variables['ba_transgrp']) - and (tx_row[region_col[1]] in agglevel_variables['county_regions']+agglevel_variables['county_transgrp'])) - cond2 = ((tx_row[region_col[1]] in agglevel_variables['ba_regions']+ agglevel_variables['ba_transgrp']) - and (tx_row[region_col[0]] in agglevel_variables['county_regions']+agglevel_variables['county_transgrp'])) - cond3 = ((tx_row[region_col[0]] in agglevel_variables['county_regions']+agglevel_variables['county_transgrp']) - and (tx_row[region_col[1]] in agglevel_variables['county_regions']+agglevel_variables['county_transgrp'])) + cond1 = ((tx_row[region_col[0]] in agglevel_variables['ba_regions'] + + agglevel_variables['ba_transgrp']) and + (tx_row[region_col[1]] in agglevel_variables['county_regions'] + + agglevel_variables['county_transgrp'])) + cond2 = ((tx_row[region_col[1]] in agglevel_variables['ba_regions'] + + agglevel_variables['ba_transgrp']) and + (tx_row[region_col[0]] in agglevel_variables['county_regions'] + + agglevel_variables['county_transgrp'])) + cond3 = ((tx_row[region_col[0]] in agglevel_variables['county_regions'] + + agglevel_variables['county_transgrp']) and + (tx_row[region_col[1]] in agglevel_variables['county_regions'] + + agglevel_variables['county_transgrp'])) if cond1 or cond2 or cond3: df_disagg_list.append(tx_row) @@ -871,9 +880,8 @@ def agg_disagg(filepath, r2aggreg_glob, r_ba_glob, runfiles_row): inputs_case = os.path.join(args.inputs_case) # #%%## Settings for testing -# reeds_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -# inputs_case = os.path.join( -# reeds_path,'runs','v20250301_hydroM0_Pacific','inputs_case') +#reeds_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +#inputs_case = os.path.join(reeds_path,'runs','test_startyr_Pacific','inputs_case') #%% Settings for debugging ### Set debug == True to copy the original files to a new folder (inputs_case_original). @@ -1011,17 +1019,28 @@ def agg_disagg(filepath, r2aggreg_glob, r_ba_glob, runfiles_row): # Read generator database and create rsc_wsc (for use in writesupplycurves function call below) gendb = pd.read_csv(os.path.join(inputs_case,'unitdata.csv')) + import writecapdat - from writecapdat import create_rsc_wsc # Set the 'r' column for the generator database # Create the 'r_col' column gendb = gendb.assign(r=gendb.reeds_ba.map(r_ba)) + # Multiply all PV capacities by ILR + gendb.loc[gendb['tech'].isin(["upv", "pvb_pv", "dupv", "csp-ns"]), + 'summer_power_capacity_MW'] *= scalars['ilr_utility'] startyear = int(sw.startyear) - rsc_wsc = create_rsc_wsc(gendb, TECH=writecapdat.TECH, scalars=scalars,startyear=startyear) - + rsc_wsc = writecapdat.create_rsc_wsc(gendb, TECH=writecapdat.TECH,startyear=startyear) + exog_rsc, *_ = writecapdat.create_exog_rsc( + reeds_path, + inputs_case, + gendb, + TECH=writecapdat.TECH, + COLNAMES=writecapdat.COLNAMES_define(sw.retscen), + sw=sw, + startyear=startyear, + ) import writesupplycurves rscweight = writesupplycurves.main( - reeds_path, inputs_case, AggregateRegions=0, rsc_wsc_dat=rsc_wsc, write=False) + reeds_path, inputs_case, AggregateRegions=0, rsc_wsc_dat=rsc_wsc, exog_rsc_dat=exog_rsc, write=False) rscweight = ( rscweight.loc[(rscweight.sc_cat=='cap')] .rename(columns={'*i':'i'}) diff --git a/reeds/input_processing/copy_files.py b/reeds/input_processing/copy_files.py index 55a60880..daf5f999 100644 --- a/reeds/input_processing/copy_files.py +++ b/reeds/input_processing/copy_files.py @@ -592,7 +592,10 @@ def subset_to_valid_regions( elif filetype_in == 'h5': df = read_special_h5file(full_path) elif filetype_in == 'csv': - df = pd.read_csv(full_path, dtype={'FIPS':str, 'fips':str, 'cnty_fips':str}, comment='#') + if filename == 'unitdata_orig.csv': + df = pd.read_csv(full_path, dtype={'FIPS':str, 'fips':str, 'cnty_fips':str}) + else: + df = pd.read_csv(full_path, dtype={'FIPS':str, 'fips':str, 'cnty_fips':str}, comment='#') else: raise ValueError(f'Unmatched filename ({filename}) or filetype ({filetype_in})') @@ -1229,7 +1232,7 @@ def write_region_indexed_file( regions_and_agglevel=regions_and_agglevel, aggfunc=region_file_entry.aggfunc ) - case 'unitdata.csv': + case 'unitdata_orig.csv': fips_ba_map = regions_and_agglevel['ba_county'].dropna().set_index('county')['ba'] df['reeds_ba'] = df['FIPS'].map(fips_ba_map) ## If using offshore zones, map offshore wind units from land to offshore zones @@ -1672,8 +1675,8 @@ def main(reeds_path, inputs_case): inputs_case = args.inputs_case # #%% Settings for testing ### - # reeds_path = reeds.io.reeds_path - # inputs_case = os.path.join(reeds_path,'runs','v20260305_itlM0_USA_defaults','inputs_case') + #reeds_path = reeds.io.reeds_path + #inputs_case = os.path.join(reeds_path,'runs','test_Ref','inputs_case') # ---- Set up logger ---- diff --git a/reeds/input_processing/process_unitdata.py b/reeds/input_processing/process_unitdata.py new file mode 100644 index 00000000..a341cde1 --- /dev/null +++ b/reeds/input_processing/process_unitdata.py @@ -0,0 +1,178 @@ +#%% =========================================================================== +### --- IMPORTS --- +### =========================================================================== +import os +import sys +import datetime +import numpy as np +import pandas as pd +import geopandas as gpd +import argparse + +# Local Imports +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)),'..','..'))) +import reeds + +#%% =========================================================================== +### --- General Read Functions--- +### =========================================================================== +# Function to merge NEMS unitdata with interconnection_land/offshore data by +# mapping each unit in NEMS by lon/lat to its closest sc_point_gid +def assign_gids_to_unitdata(df, offland_gdf, land_gdf): + offland_gdf['sc_point_gid'] = offland_gdf.index + #offland_gdf = offland_gdf[['sc_point_gid','latitude','longitude']] + + land_gdf['sc_point_gid'] = land_gdf.index + #land_gdf = land_gdf[['sc_point_gid','latitude','longitude']] + + # Technologies to map - pv, wind, and geothermal + tech_match = {'upv': ['upv','dupv','pvb_pv','csp-wp','csp-ns'], + 'wind-ons': ["wind-ons"], + 'wind-ofs': ["wind-ofs"], + 'geohydro': ['geohydro_allkm', 'geothermal'], + 'egs':['egs']} + + df_rev_list = [] + for tech in ['upv','wind-ons','wind-ofs','geohydro']: + print(f'Assigning {tech} classes') + tech_sub = tech_match[tech] + + df_sub = df[df.tech.isin(tech_sub)] + # Read supply curves + if tech == 'geohydro': + # Use egs supply curve for geohydro for now + geo_tech = 'egs' + supply_curve = pd.read_csv(os.path.join(inputs_case,'supplycurve_'+geo_tech+'.csv')) + else: + supply_curve = pd.read_csv(os.path.join(inputs_case,'supplycurve_'+tech+'.csv')) + + # Only consider the sc_point_pids that are in supply curves + # (to avoid unmatched units later) + if tech == 'wind-ofs': + sc_point_pid_pdf = offland_gdf[offland_gdf['sc_point_gid'].isin(supply_curve['sc_point_gid'].to_list())] + else: + sc_point_pid_pdf = land_gdf[land_gdf['sc_point_gid'].isin(supply_curve['sc_point_gid'].to_list())] + + sc_point_pid_pdf = sc_point_pid_pdf.rename(columns={'FIPS':'FIPS_nearest', + 'latitude':'T_LAT_nearest', + 'longitude':'T_LONG_nearest'}) + sc_point_pid_pdf['FIPS_nearest'] = 'p' + sc_point_pid_pdf['FIPS_nearest'] + + gdf_joined = gpd.sjoin_nearest(df_sub, sc_point_pid_pdf, distance_col='distance', how='left') + # Replace lon/lat and FIPS with the ones closest to them with resources + gdf_joined['T_LONG'] = gdf_joined['T_LONG_nearest'] + gdf_joined['T_LAT'] = gdf_joined['T_LAT_nearest'] + gdf_joined['FIPS'] = gdf_joined['FIPS_nearest'] + + # Update ba since FIPS have been updated + df_county = pd.read_csv(os.path.join(inputs_case,'county2zone.csv')) + df_county = df_county[['FIPS','ba']] + df_county['FIPS'] = 'p' + df_county['FIPS'].astype(str) + df_county = df_county.rename(columns={'ba':'reeds_ba_nearest'}) + + gdf_joined = gdf_joined.merge(df_county, on='FIPS', how='left') + gdf_joined['reeds_ba'] = gdf_joined['reeds_ba_nearest'] + + # Merge unit database with VRE supply curves to assign AC capacity factors to VRE units + # and mean resource temp for geothermal units + df_rev = gdf_joined[['sc_point_gid'] + df.drop(columns=['geometry']).columns.to_list()] + + if len(df_rev) > 0: + df_rev.loc[:, ['sc_point_gid']] = df_rev.loc[:, ['sc_point_gid']].fillna(0).astype(np.int64) + if (tech == 'geohydro') or (tech == 'egs'): + df_rev = df_rev.merge(supply_curve[['sc_point_gid','mean_resource_temp']], + on='sc_point_gid', + how='left').rename(columns={'mean_resource_temp':'reV_mean_resource_temp'}) + else: + df_rev = df_rev.merge(supply_curve[['sc_point_gid','cf']], + on='sc_point_gid', + how='left').rename(columns={'cf':'reV_capacity_factor_ac'}) + df_rev_list = df_rev_list + [df_rev] + + df_rev = pd.concat(df_rev_list, ignore_index=False, sort=False) + return df_rev + +#%% =========================================================================== +### --- PROCEDURE --- +### =========================================================================== +def main(inputs_case): + + # Read unitdata + unitdata = pd.read_csv(os.path.join(inputs_case, 'unitdata_orig.csv')) + + ## Assign sc_point_gids and pv, wind capacity factors, and geothermal resource temperature to NEMS unit + # Using 'EPSG:5070' projection for nearest distance calculation + crs = 'EPSG:5070' + # Convert NEMS data base to geopandas dataframe by lon/lat + unitdata = reeds.plots.df2gdf( + unitdata, + lat='T_LAT', + lon='T_LONG', + crs=crs) + + unitdata['temp_id'] = unitdata.index + + # Assign sc_point_gids to units based on distance + land_gdf = reeds.io.get_sitemap(crs=crs) + offland_gdf = reeds.io.get_sitemap(offshore=True, crs=crs) + + # Merge NEMS unitdata with interconnection_land/offshore data by + # mapping each unit in NEMS by lon/lat to its closest sc_point_gid + df_rev = assign_gids_to_unitdata(unitdata, offland_gdf, land_gdf) + + # Clean up merged data + unitdata = unitdata.rename(columns={'FIPS':'FIPS_org', + 'T_LONG':'T_LONG_org', + 'T_LAT':'T_LAT_org', + 'reeds_ba':'reeds_ba_org'}) + if 'reV_mean_resource_temp' in df_rev.columns: + unitdata = unitdata.merge(df_rev[['sc_point_gid','temp_id', + 'reV_capacity_factor_ac', + 'reV_mean_resource_temp', + 'T_LONG','T_LAT','FIPS', + 'reeds_ba']], + on = 'temp_id',how = 'left') + else: + unitdata = unitdata.merge(df_rev[['sc_point_gid','temp_id', + 'reV_capacity_factor_ac', + 'T_LONG','T_LAT','FIPS', + 'reeds_ba']], + on = 'temp_id',how = 'left') + + unitdata['FIPS'] = unitdata['FIPS'].fillna(unitdata['FIPS_org']) + unitdata['T_LONG'] = unitdata['T_LONG'].fillna(unitdata['T_LONG_org']) + unitdata['T_LAT'] = unitdata['T_LAT'].fillna(unitdata['T_LAT_org']) + unitdata['reeds_ba'] = unitdata['reeds_ba'].fillna(unitdata['reeds_ba_org']) + + # Rearrange column orders + cols = df_rev.columns.to_list() + unitdata = unitdata[cols].drop(columns=['temp_id']) + + # Save processed unitdata + unitdata.to_csv(os.path.join(inputs_case,'unitdata.csv'),index=False) + +if __name__ == '__main__': + ### Time the operation of this script + tic = datetime.datetime.now() + + ### Parse arguments + parser = argparse.ArgumentParser(description="""This file processes NEMS unitdata""") + parser.add_argument('reeds_path', help="ReEDS directory") + parser.add_argument('inputs_case', help="path to runs/{case}/inputs_case") + + args = parser.parse_args() + reeds_path = args.reeds_path + inputs_case = args.inputs_case + + # for testing + # reeds_path = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)),'..','..')) + # inputs_case = os.path.join(reeds_path,'runs','test_Ref','inputs_case') + + #%% Set up logger + log = reeds.log.makelog( + scriptname=__file__, + logpath=os.path.join(inputs_case,'..','gamslog.txt'), + ) + print('Starting process_unitdata.py') + main(inputs_case) + print('Complete processsing process_unitdata.py') diff --git a/reeds/input_processing/recf.py b/reeds/input_processing/recf.py index a340bb9f..dd0424eb 100644 --- a/reeds/input_processing/recf.py +++ b/reeds/input_processing/recf.py @@ -22,6 +22,7 @@ import numpy as np import os import pandas as pd +import geopandas as gpd import sys from pathlib import Path sys.path.append(str(Path(__file__).parent.parent.parent)) @@ -274,6 +275,23 @@ def calculate_regional_distpv_cf(inputs_case, cap_min=0.0001): return regional_distpv_cf +# Identify resources with missing classes and assign them to +# closest resources of similar classes +def check_missing_class_resource(existing_techs, resources): + missing_class_resource = existing_techs.merge(resources[['i','r']], + on=['i','r'], + how='left', + indicator=True) + missing_class_resource = missing_class_resource[ + missing_class_resource['i'].str.contains('upv|wind')].reset_index(drop=True) + missing_class_resource = missing_class_resource[ + missing_class_resource['_merge'] == 'left_only'][['i','r']].copy() + + if len(missing_class_resource) > 0: + raise ValueError("There are mismatched tech class capacities and resources. Exiting program.") + else: + print('All capacities and resources are matched.') + #%% =========================================================================== ### --- MAIN FUNCTION --- @@ -281,11 +299,6 @@ def calculate_regional_distpv_cf(inputs_case, cap_min=0.0001): def main(reeds_path, inputs_case): print('Starting recf.py') - # #%% Settings for testing - # reeds_path = os.path.realpath(os.path.join(os.path.dirname(__file__),'..')) - # inputs_case = os.path.join( - # reeds_path,'runs','v20260416_mainM0_Pacific','inputs_case') - #%% Inputs from switches sw = reeds.io.get_switches(inputs_case) resource_adequacy_years = sw['resource_adequacy_years_list'] @@ -502,6 +515,26 @@ def main(reeds_path, inputs_case): recf = pd.concat([recf, csp_system_cf], axis=1) resources = pd.concat([resources, csp_resources], axis=0) + #%% Assign existing and prescribed generator technology classes if it is not exist in resouces. + ### Collect all existing and prescribed generator technology classes - region combinations + upv_exog_cap = pd.read_csv(os.path.join(inputs_case,'exog_cap_upv.csv')) + wind_ons_exog_cap = pd.read_csv(os.path.join(inputs_case,'exog_cap_wind-ons.csv')) + wind_ofs_exog_cap = pd.read_csv(os.path.join(inputs_case,'exog_cap_wind-ofs.csv')) + existing_exog_techs = pd.concat( + [upv_exog_cap, wind_ons_exog_cap, wind_ofs_exog_cap], + axis=0, ignore_index=True + )[['*tech','region']].drop_duplicates() + existing_exog_techs.columns = ['i','r'] + prescribed_rsc = (pd.read_csv(os.path.join(inputs_case, 'prescribed_rsc.csv')).rename(columns={'*i':'i'}) + [['i', 'r']].drop_duplicates()) + existing_techs = pd.concat( + [existing_exog_techs, prescribed_rsc], + axis=0, ignore_index=True + )[['i','r']].drop_duplicates() + + # Check missing technology-class - region combinations in resources + check_missing_class_resource(existing_techs, resources) + #%% Check for errors nulls = recf.isnull().sum() missing = nulls.loc[nulls > 0] @@ -510,7 +543,6 @@ def main(reeds_path, inputs_case): err = f"Missing RECF values for {len(missing)} columns" raise ValueError(err) - #%%########################### # -- Data Write-Out -- # ############################## @@ -525,6 +557,7 @@ def main(reeds_path, inputs_case): os.path.join(inputs_case, 'hierarchy.csv'), index=True, header=True) pd.Series(hierarchy.ccreg.unique()).to_csv( os.path.join(inputs_case,'ccreg.csv'), index=False, header=False) + #missing_class_resource.to_csv(os.path.join(inputs_case,'missing_class_resource.csv'), index=False) #%% =========================================================================== @@ -547,7 +580,10 @@ def main(reeds_path, inputs_case): reeds_path = args.reeds_path inputs_case = args.inputs_case - #%% Set up logger + # #%% Settings for testing + # reeds_path = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)),'..','..')) + # inputs_case = os.path.join(reeds_path,'runs','test_Ref','inputs_case') + log = reeds.log.makelog( scriptname=__file__, logpath=os.path.join(inputs_case,'..','gamslog.txt'), diff --git a/reeds/input_processing/runfiles.csv b/reeds/input_processing/runfiles.csv index 366b1025..6105c7f9 100644 --- a/reeds/input_processing/runfiles.csv +++ b/reeds/input_processing/runfiles.csv @@ -9,7 +9,6 @@ i_subtech.csv,inputs/sets/i_subtech.csv,1,ignore,ignore,,,,,,,1,set,i_subtech,te i_h2_ptc_gen.csv,inputs/sets/i_h2_ptc_gen.csv,1,ignore,ignore,,,,,,,1,set,i_h2_ptc_gen,technology subset category for clean generators which qualify for the hydrogen production tax credit, sdbin.csv,inputs/sets/sdbin.csv,1,ignore,ignore,,,,,,,1,set,sdbin,storage duration bins, tg.csv,inputs/sets/tg.csv,1,ignore,ignore,,,,,,,1,set,tg,tech groups for growth constraints, -pcat.csv,inputs/sets/pcat.csv,1,ignore,ignore,,,,,,,1,set,pcat,prescribed capacity categories, ccseason.csv,,1,ignore,ignore,,,,,,,1,set,ccseason,seasons used for capacity credit; cold is Oct 15-April 14 and hot is April 15-Oct 14, quarter.csv,inputs/sets/quarter.csv,1,ignore,ignore,,,,,,,1,set,quarter,original h17 seasons (four per year), month.csv,inputs/sets/month.csv,1,ignore,ignore,,,,,,,1,set,month,calendar months in a year, @@ -59,6 +58,7 @@ cendivweights.csv,inputs/fuelprices/cendivweights.csv,1,mean,ignore,r_cendiv,wid ces_fraction.csv,inputs/state_policies/ces_fraction.csv,int(sw.GSw_StateRPS) != 0,ignore,ignore,st,st,,1,0,,,,,, cf_hyd.csv,,1,mean,uniform,r,"*i,szn,t",,0,0,,1,,,, cf_vre.csv,,1,mean_cap,ignore,r,"*i,h",*i,0,0,,1,,,,disaggfunc set to ignore because data will be written in correct spatial resolution by hourly_writetimeseries in hourly_repperiods.py +classification_geothermal.csv,inputs/supply_curve/classification_geothermal.csv,1,ignore,ignore,,,,,,,,,,, climate_UnappWaterMult.csv,,1,ignore,ignore,,,,,0,,1,,,,created by hourly_writetimeseries.py from temp_UnappWaterMult.csv data climate_UnappWaterMultAnn.csv,,1,ignore,ignore,,,,,0,,1,,,,created by climateprep.py climate_UnappWaterSeaAnnDistr.csv,,1,ignore,ignore,,,,,0,,1,,,,created by hourly_writetimeseries.py from temp_UnappWaterSeaAnnDistr.csv data @@ -130,9 +130,6 @@ emitrate.csv,inputs/emission_constraints/emitrate.csv,1,ignore,ignore,,,,,0,,,,, energy_communities.csv,inputs/financials/energy_communities.csv,1,ignore,ignore,,,,,0,,,,,,region aggregation and filtering is handled in copy_files etype.csv,inputs/sets/etype.csv,1,ignore,ignore,,,,,,,,,etype,, eval_period_adj_mult.csv,,1,ignore,ignore,,,,,0,,,,,, -exog_cap_geohydro.csv,inputs/capacity_exogenous/exog_cap_geohydro_{GSw_SitingGeo}.csv,int(sw.GSw_Geothermal) != 0,ignore,ignore,region,"*tech,sc_point_gid,year",,0,0,,,,,, -exog_cap_upv.csv,inputs/capacity_exogenous/exog_cap_upv_{GSw_SitingUPV}.csv,1,ignore,ignore,region,"*tech,sc_point_gid,year",,0,0,,,,,, -exog_cap_wind-ons.csv,inputs/capacity_exogenous/exog_cap_wind-ons_{GSw_SitingWindOns}.csv,1,ignore,ignore,region,"*tech,sc_point_gid,year",,0,0,,,,,, f.csv,inputs/sets/f.csv,1,ignore,ignore,,,,,,,,,f,, financials_hydrogen.csv,inputs/financials/financials_hydrogen.csv,int(sw.GSw_H2) != 0,ignore,ignore,,,,,0,,,,,, financials_sys.csv,inputs/financials/financials_sys_{financials_sys_suffix}.csv,1,ignore,ignore,,,,,0,,,,,, @@ -330,11 +327,8 @@ plantchar_upgrades.csv,inputs/upgrades/{upgradescen}.csv,sw.upgradescen != 'defa plantchar_upv.csv,inputs/plant_characteristics/{plantchar_upv}.csv,1,ignore,ignore,,,,,0,,,,,,used to define plantcharout.csv poi_cap_init.csv,,1,sum,ignore,*r,,,0,0,,1,,,,disaggfunc set to ignore because data will be written at county resolution by writecapdat.py prepost.csv,inputs/sets/prepost.csv,1,ignore,ignore,,,,,,,,,prepost,, -prescribed_builds_wind-ofs.csv,inputs/capacity_exogenous/prescribed_builds_wind-ofs_{GSw_OffshoreFiles}_{GSw_SitingWindOfs}.csv,int(sw.GSw_OfsWind) != 0,sum,ignore,region,year,,0,0,,,,,,disaggfunc set to ignore because data will be read in at the correct spatial resolution -prescribed_builds_wind-ons.csv,inputs/capacity_exogenous/prescribed_builds_wind-ons_{GSw_SitingWindOns}.csv,1,sum,ignore,region,year,,0,0,,,,,,disaggfunc set to ignore because data will be read in at the correct spatial resolution prescribed_nonRSC.csv,,1,sum,ignore,r,"t,i",,0,0,,1,,,,disaggfunc set to ignore because data will be written at county resolution by writecapdat.py prescribed_rsc.csv,,1,sum,ignore,r,"t,i",,0,0,,1,,,,disaggfunc set to ignore because data will be written at county resolution by writecapdat.py -prescriptivelink0.csv,inputs/sets/prescriptivelink0.csv,1,ignore,ignore,,,,,0,,,,prescriptivelink0,, prm_initial.csv,,1,ignore,ignore,*r,,,,0,,1,,,, prm.csv,,1,ignore,ignore,*r,,,,0,,1,,,, psh_sc_duration.csv,,1,ignore,ignore,,,,,0,,1,,,,Delete once aggregate_regions.py is moved up @@ -437,7 +431,8 @@ UnappWaterMultAnn.csv,inputs/climate/{climatescen}/UnappWaterMultAnn.csv,int(sw. UnappWaterSeaAnnDistr.csv,inputs/climate/{climatescen}/UnappWaterSeaAnnDistr.csv,int(sw.GSw_ClimateWater) != 0,mean,uniform,r,"wst,month,t",,0,0,,,,,, unbundled_limit_ces.csv,inputs/state_policies/unbundled_limit_ces.csv,int(sw.GSw_StateRPS) != 0,ignore,ignore,st,,,,0,,,,,, unbundled_limit_rps.csv,inputs/state_policies/unbundled_limit_rps.csv,int(sw.GSw_StateRPS) != 0,ignore,ignore,st,,,,0,,,,,, -unitdata.csv,inputs/capacity_exogenous/ReEDS_generator_database_final_{unitdata}.csv,1,ignore,ignore,FIPS,,,,0,,,,,, +unitdata_orig.csv,inputs/capacity_exogenous/ReEDS_generator_database_final_{unitdata}.csv,1,ignore,ignore,FIPS,,,,0,,,,,, +unitdata.csv,,1,ignore,ignore,,,,,0,,1,,,, unitsize.csv,,1,ignore,ignore,,,,,0,,1,,,, unitspec_upgrades.csv,inputs/sets/unitspec_upgrades.csv,1,ignore,ignore,,,,,0,,,,unitspec_upgrades,, upgrade_costs_ccs_coal.csv,,1,ignore,ignore,,,,,0,,,,,, diff --git a/reeds/input_processing/writecapdat.py b/reeds/input_processing/writecapdat.py index 42a391fa..fa13bdd1 100644 --- a/reeds/input_processing/writecapdat.py +++ b/reeds/input_processing/writecapdat.py @@ -38,28 +38,229 @@ #%%################# ### FIXED INPUTS ### -# Generator database column selections: -Sw_onlineyearcol = 'StartYear' - - #%% =========================================================================== ### --- FUNCTIONS --- ### =========================================================================== -def create_rsc_wsc(gendb,TECH,scalars,startyear): +def create_rsc_wsc(gendb,TECH,startyear): rsc_wsc = gendb.loc[(gendb['tech'].isin(TECH['rsc_wsc'])) & - (gendb[Sw_onlineyearcol] < startyear) & + (gendb['StartYear'] < startyear) & (gendb['RetireYear'] > startyear) ] - rsc_wsc = rsc_wsc[['r','tech','summer_power_capacity_MW']].rename(columns={'tech':'i','summer_power_capacity_MW':'value'}) - # Multiply all PV capacities by ILR - for j,row in rsc_wsc.iterrows(): - if row['i'] == 'upv': - rsc_wsc.loc[j,'value'] *= scalars['ilr_utility'] + rsc_wsc = rsc_wsc[['reeds_ba','tech','summer_power_capacity_MW']].rename(columns={'reeds_ba':'r','tech':'i','summer_power_capacity_MW':'value'}) return rsc_wsc +def create_exog_rsc(reeds_path,inputs_case,gendb,TECH,COLNAMES,sw,startyear): + # Mappings to resource class are based on the resource quality of the technology as it comes from reV + # Establish resource classification inputs for technologies (UPV, wind-ons, wind-ofs) + # from supply curves + + + rsc_class = {} + rsc_class["upv"] = prep_supply_curve(reeds_path, tech='upv', + access_case=sw.GSw_SitingUPV, subtech='') + rsc_class["wind-ons"] = prep_supply_curve(reeds_path, tech='wind-ons', + access_case=sw.GSw_SitingWindOns, subtech='') + + # for offshore wind, specify 'fixed' or 'floating' tech + wind_ofs_subtech_list = ['fixed','floating'] + wind_ofs_class_all = [] + for wind_ofs_subtech in wind_ofs_subtech_list: + wind_ofs_class_subtech = prep_supply_curve(reeds_path, tech='wind-ofs', + access_case=sw.GSw_SitingWindOfs, + subtech=wind_ofs_subtech) + wind_ofs_class_all.append(wind_ofs_class_subtech) + rsc_class["wind-ofs"] = pd.concat(wind_ofs_class_all, ignore_index=True) + + # Read resource classification inputs for geothermal + rsc_class["geohydro_allkm"] = pd.read_csv(os.path.join(inputs_case, + 'classification_geothermal.csv')).query(f"access_case == '{sw.GSw_SitingGeo}'") + + cap_exog = {} + for tech in TECH['rsc_wsc']: + print(tech) + # Filter active plants + cap_exog[tech]= gendb.loc[(gendb['tech']==tech) & + (gendb['StartYear'] <= startyear) & + (gendb['RetireYear'] > startyear)].copy() + if len(cap_exog[tech]) > 0: + # Assigning each geothermal unit in unit database to a class based on groups' temperatures + if tech in ['geohydro_allkm','egs_allkm']: + cap_exog[tech]["class"] = cap_exog[tech]["reV_mean_resource_temp"].apply( + lambda x: assign_class(x, tech, rsc_class[tech])) + cap_exog[tech]["tech"] = (cap_exog[tech]["tech"].astype(str) + "_" + + cap_exog[tech]["class"].astype(str)) + # Assigning each solar, wind unit in unit database to a class based on groups' minimum and maximum capacity factors + elif tech in TECH['rsc_all']: + cap_exog[tech]["class"] = cap_exog[tech]["reV_capacity_factor_ac"].apply( + lambda x: assign_class(x, tech, rsc_class['upv'])) + cap_exog[tech]["tech"] = ('upv' + "_" + + cap_exog[tech]["class"].astype(str)) + else: + cap_exog[tech]["class"] = cap_exog[tech]["reV_capacity_factor_ac"].apply( + lambda x: assign_class(x, tech, rsc_class[tech])) + cap_exog[tech]["tech"] = (cap_exog[tech]["tech"].astype(str) + "_" + + cap_exog[tech]["class"].astype(str)) + + cap_exog[tech] = cap_exog[tech][COLNAMES['capexog_rsc'][0]] + cap_exog[tech].columns = COLNAMES['capexog_rsc'][1] + if len(cap_exog[tech]) > 0: + cap_exog[tech] = pd.concat([expand_exog_cap(row, startyear) for _, row in cap_exog[tech].iterrows()], + ignore_index=True) + if len(cap_exog["upv"]) > 0: + cap_exog["upv"] = pd.concat([cap_exog[tech] for tech in TECH["rsc_all"] + if tech in cap_exog and not cap_exog[tech].empty],ignore_index=True) + + return cap_exog, rsc_class + +# Establish class cut offs based on capacity factors +def prep_supply_curve(reeds_path, tech, access_case, subtech): + class_def_name = 'reV_cf_ac' + + # Load the supply curve raw file produced by reV + df = pd.read_csv(os.path.join( + reeds_path,'inputs','supply_curve', + 'supplycurve_'+tech+'-'+access_case+'.csv')) + + # Aggregate min/max by class and attach access_case + if tech == 'wind-ofs': + df['subtech'] = 'fixed' + df.loc[df['class']>=6,'subtech'] = 'floating' + df_sub = df[df['subtech']==subtech] + summary_df = df_sub.groupby('class')['cf'].agg(['min', 'max']).reset_index() + summary_df['subtech'] = subtech + summary_df['access_case'] = access_case + summary_df.columns = ['class', f'min_{class_def_name}', + f'max_{class_def_name}', 'subtech', 'access_case'] + else: + summary_df = df.groupby('class')['cf'].agg(['min', 'max']).reset_index() + summary_df['access_case'] = access_case + summary_df.columns = ['class', f'min_{class_def_name}', + f'max_{class_def_name}', 'access_case'] + + # Only use max capacity factors as class cut offs to avoid gaps + summary_df = summary_df.sort_values(by=['class',f'min_{class_def_name}']) + for c in summary_df['class'].unique().tolist(): + if c > min(summary_df['class'].unique().tolist()): + summary_df.loc[ + summary_df['class']==c,f'min_{class_def_name}' + ] = summary_df.loc[summary_df['class']==c-1][f'max_{class_def_name}'].iloc[0] + + # Round values to 4 decimal places + summary_df[f'min_{class_def_name}'] = summary_df[f'min_{class_def_name}'].round(4) + summary_df[f'max_{class_def_name}'] = summary_df[f'max_{class_def_name}'].round(4) + + return summary_df + +# Assign each wind, solar and geothermal unit in unit database to a class +def assign_class(cf, tech, df_class): + # Each geothermal unit is assigned to the class associated with the min and max temperatures its mean temperature falls between + if tech in ['geohydro_allkm', 'egs_allkm']: + row = df_class[(df_class['min_reV_mean_temp'] < cf) & (cf <= df_class['max_reV_mean_temp'])] + # Handle min cutoff point + if cf == df_class['min_reV_mean_temp'].min(): + row = df_class[cf == df_class['min_reV_mean_temp']] + # Each wind or solar unit is assigned to the class associated with the min and max capacity factors its capacity factor falls between + else: + row = df_class[(df_class['min_reV_cf_ac'] < cf) & (cf <= df_class['max_reV_cf_ac'])] + # Handle min cutoff point + if cf == df_class['min_reV_cf_ac'].min(): + row = df_class[cf == df_class['min_reV_cf_ac']] + + if not row.empty: + return row.iloc[0]['class'] + else: + # If a unit's capacity factor/mean temp does not fall between any two max and min values specified in the classificalion file, it is unclassified and gives an error + raise ValueError('Unclassified ' + tech + ' technology with cf= ' + str(cf) + + ', check capacity factor/mean temperature values in unitdata.csv and classification files.') + +# Expand each row into multiple rows (startyear → retirement_year) +def expand_exog_cap(row, start_year): + # List the years between start_year and retirement_year (not including the retirement_year itself since unit is retired at the start of the year) + years = np.arange(start_year, row["year"]) + df = pd.DataFrame({ + "*tech": [row["*tech"]] * len(years), + "region": [row["region"]] * len(years), + "year": years, + "sc_point_gid": [row["sc_point_gid"]] * len(years), + "MW": [row["MW"]] * len(years)}) + return df + +def assign_modeledyear(x,years_list): + for m in years_list: + if x <= m: + return m + return None + +def COLNAMES_define(retscen): + return { + 'capexog_rsc': ( + ['tech','r','RetireYear','sc_point_gid','summer_power_capacity_MW'], + ['*tech','region','year','sc_point_gid','MW'] + ), + 'capnonrsc': ( + ['tech','coolingwatertech','r','ctt','wst','summer_power_capacity_MW'], + ['i','coolingwatertech','r','ctt','wst','value'] + ), + 'capnonrsc_energy': ( + ['tech','r','energy_capacity_MWh'], + ['i','r','value'] + ), + 'prescribed_nonRSC': ( + ['StartYear','tech','vin','r','coolingwatertech','ctt','wst','summer_power_capacity_MW'], + ['t','i','v','r','coolingwatertech','ctt','wst','value'] + ), + 'prescribed_nonRSC_energy': ( + ['StartYear','tech','vin','r','coolingwatertech','ctt','wst','energy_capacity_MWh'], + ['t','i','v','r','coolingwatertech','ctt','wst','value'] + ), + 'prescribed_RSC': ( + ['StartYear','tech','vin','r','summer_power_capacity_MW'], + ['t','i','v','r','value'] + ), + 'rsc': ( + ['tech','r','v','ctt','wst','summer_power_capacity_MW'], + ['i','r','v','ctt','wst','value'] + ), + 'rsc_wsc': ( + ['r','tech','summer_power_capacity_MW'], + ['r','i','value'] + ), + 'prsc_upv': ( + ['StartYear','r','tech','summer_power_capacity_MW'], + ['t','r','i','value'] + ), + 'prsc_w': ( + ['StartYear','r','tech','summer_power_capacity_MW'], + ['t','r','i','value'] + ), + 'prsc_csp': ( + ['StartYear','r','tech','ctt','wst','summer_power_capacity_MW'], + ['t','r','i','ctt','wst','value'] + ), + 'prsc_geo': ( + ['StartYear','r','tech','summer_power_capacity_MW'], + ['t','r','i','value'] + ), + 'retirements': ( + ['tech','v','r',retscen,'StartYear','coolingwatertech','ctt','wst','type','summer_power_capacity_MW'], + ['i','v','r','t','tt','coolingwatertech','ctt','wst','type','value'] + ), + 'retirements_energy': ( + ['tech','v','r',retscen,'StartYear','type','energy_capacity_MWh'], + ['r','i','v','t','tt','type','value'] + ), + 'windret': ( + ['r','tech','RetireYear','summer_power_capacity_MW'], + ['r','i','t','value'] + ), + 'georet': ( + ['r','tech','RetireYear','summer_power_capacity_MW'], + ['r','i','t','value'] + ), + } #%% =========================================================================== ### --- SUPPLEMENTAL DATA --- ### =========================================================================== @@ -73,30 +274,31 @@ def create_rsc_wsc(gendb,TECH,scalars,startyear): TECH = { 'capnonrsc': [ - 'coaloldscr', 'coalolduns', 'biopower', 'coal-igcc', - 'coal-new', 'gas-cc', 'gas-ct', 'lfill-gas', - 'nuclear', 'o-g-s', 'battery_li', 'pumped-hydro' + 'battery_li', 'biopower', 'coal-igcc', 'coal-new', + 'coaloldscr','coalolduns','gas-cc', 'gas-ct', + 'lfill-gas','nuclear', 'o-g-s', 'pumped-hydro' ], 'capnonrsc_energy': [ 'battery_li' ], 'prescribed_nonRSC': [ - 'coal-new', 'lfill-gas', 'gas-ct', 'o-g-s', 'gas-cc', - 'hydED', 'hydEND', 'hydND', 'hydNPND', 'hydUD', 'hydUND', - 'geothermal', 'biopower', 'coal-igcc', 'nuclear', - 'battery_li','pumped-hydro','coaloldscr', + 'battery_li', 'biopower', 'coal-igcc', 'coal-new', + 'coaloldscr', 'coalolduns','gas-cc', 'gas-ct', + 'hydED', 'hydEND', 'hydND', 'hydNPND', + 'lfill-gas', 'nuclear', 'o-g-s', 'pumped-hydro' ], 'prescribed_nonRSC_energy': [ 'battery_li', ], 'storage' : ['battery_li', 'pumped-hydro' ], - 'rsc_all': ['upv','pvb','csp-ns'], + 'rsc_all': ['upv','dpv','pvb_pv','csp-ns'], + 'rsc_w': ['wind-ons','wind-ofs'], 'rsc_csp': ['csp-ns'], - 'rsc_wsc': ['upv','pvb','csp-ns','csp-ws','wind-ons','wind-ofs', + 'rsc_wsc': ['upv','pvb_pv','csp-ns','csp-ws','wind-ons','wind-ofs', 'geohydro_allkm','egs_allkm'], - 'prsc_all': ['upv','pvb','csp-ns','csp-ws'], - 'prsc_upv': ['upv','pvb'], + 'prsc_all': ['upv','pvb_pv','csp-ns','csp-ws'], + 'prsc_upv': ['upv','pvb_pv'], 'prsc_w': ['wind-ons','wind-ofs'], 'prsc_csp': ['csp-ns','csp-ws'], 'prsc_geo': ['geohydro_allkm','egs_allkm'], @@ -113,7 +315,7 @@ def create_rsc_wsc(gendb,TECH,scalars,startyear): # This is not all technologies that do not having cooling, but technologies # that are (or could be) in the plant database. 'no_cooling': [ - 'upv', 'pvb', 'gas-ct', 'geohydro_allkm','egs_allkm', + 'upv', 'pvb_pv', 'gas-ct', 'geohydro_allkm','egs_allkm', 'battery_li', 'pumped-hydro', 'pumped-hydro-flex', 'hydUD', 'hydUND', 'hydD', 'hydND', 'hydSD', 'hydSND', 'hydNPD', 'hydNPND', 'hydED', 'hydEND', 'wind-ons', 'wind-ofs', @@ -121,17 +323,13 @@ def create_rsc_wsc(gendb,TECH,scalars,startyear): } + #%% =========================================================================== ### --- MAIN FUNCTION --- ### =========================================================================== def main(reeds_path, inputs_case, agglevel, regions): - # #%% Settings for testing - #reeds_path = "/Users/apham/Documents/GitHub/ReEDS/ReEDS/" - #inputs_case = os.path.join(reeds_path,'runs','test_newNEMS_OR_water','inputs_case') - - ######################### ### SUPPLEMENTAL DATA ### @@ -158,71 +356,14 @@ def main(reeds_path, inputs_case, agglevel, regions): #################### ### DICTIONARIES ### - COLNAMES = { - 'capnonrsc': ( - ['tech','coolingwatertech','r','ctt','wst','summer_power_capacity_MW'], - ['i','coolingwatertech','r','ctt','wst','value'] - ), - 'capnonrsc_energy': ( - ['tech','r','energy_capacity_MWh'], - ['i','r','value'] - ), - 'prescribed_nonRSC': ( - [Sw_onlineyearcol,'r','tech','coolingwatertech','ctt','wst','summer_power_capacity_MW'], - ['t','r','i','coolingwatertech','ctt','wst','value'] - ), - 'prescribed_nonRSC_energy': ( - [Sw_onlineyearcol,'r','tech','coolingwatertech','ctt','wst','energy_capacity_MWh'], - ['t','r','i','coolingwatertech','ctt','wst','value'] - ), - 'rsc': ( - ['tech','r','ctt','wst','summer_power_capacity_MW'], - ['i','r','ctt','wst','value'] - ), - 'rsc_wsc': ( - ['r','tech','summer_power_capacity_MW'], - ['r','i','value'] - ), - 'prsc_upv': ( - [Sw_onlineyearcol,'r','tech','summer_power_capacity_MW'], - ['t','r','i','value'] - ), - 'prsc_w': ( - [Sw_onlineyearcol,'r','tech','summer_power_capacity_MW'], - ['t','r','i','value'] - ), - 'prsc_csp': ( - [Sw_onlineyearcol,'r','tech','ctt','wst','summer_power_capacity_MW'], - ['t','r','i','ctt','wst','value'] - ), - 'prsc_geo': ( - [Sw_onlineyearcol,'r','tech','summer_power_capacity_MW'], - ['t','r','i','value'] - ), - 'retirements': ( - [retscen,'r','tech','coolingwatertech','ctt','wst','summer_power_capacity_MW'], - ['t','r','i','coolingwatertech','ctt','wst','value'] - ), - 'retirements_energy': ( - [retscen,'r','tech','energy_capacity_MWh'], - ['t','r','i','value'] - ), - 'windret': ( - ['r','tech','RetireYear','summer_power_capacity_MW'], - ['r','i','t','value'] - ), - 'georet': ( - ['r','tech','RetireYear','summer_power_capacity_MW'], - ['r','i','t','value'] - ), - } + COLNAMES = COLNAMES_define(retscen) #%% print('Importing generator database:') gdb_use = pd.read_csv(os.path.join(inputs_case,'unitdata.csv'), low_memory=False) - + rcol_dict = {'county':'FIPS', 'ba':'reeds_ba'} # Create the 'r_col' column if agglevel in ['county','ba']: @@ -255,10 +396,10 @@ def main(reeds_path, inputs_case, agglevel, regions): # Future work could incorporate this change into unit database creation and possibly # use data from ORNL HydroSource to assign a more accurate hydro category. gdb_use.loc[ - (gdb_use['tech']=='hydEND') & (gdb_use[Sw_onlineyearcol] >= startyear), 'tech' + (gdb_use['tech']=='hydEND') & (gdb_use['StartYear'] >= startyear) & (gdb_use['StartYear'] < endyear), 'tech' ] = 'hydUND' gdb_use.loc[ - (gdb_use['tech']=='hydED') & (gdb_use[Sw_onlineyearcol] >= startyear), 'tech' + (gdb_use['tech']=='hydED') & (gdb_use['StartYear'] >= startyear) & (gdb_use['StartYear'] < endyear), 'tech' ] = 'hydUD' # We model csp-ns (CSP No Storage) as upv throughout ReEDS, but switch it back for reporting. @@ -285,9 +426,6 @@ def main(reeds_path, inputs_case, agglevel, regions): cap_cspns.loc[cap_cspns.index.get_level_values('t') >= startyear].copy()) else: cap_cspns = pd.DataFrame(columns=['*r','t','MWac']).set_index(['*r','t']) - # csp-ns capacity is MWac measured at the power block, while PV capacity is MWdc, - # so multiply csp-ns capacity by the ILR [MWdc/MWac] of PV - gdb_use.loc[gdb_use['tech']=='csp-ns','summer_power_capacity_MW'] *= scalars['ilr_utility'] # Rename csp-ns to upv gdb_use.loc[gdb_use['tech']=='csp-ns','coolingwatertech'] = ( gdb_use.loc[gdb_use['tech']=='csp-ns','coolingwatertech'] @@ -302,13 +440,18 @@ def main(reeds_path, inputs_case, agglevel, regions): 'coolingwatertech'] = gdb_use.loc[gdb_use['tech'].isin(TECH['no_cooling']), 'tech'] + # Multiply all PV capacities by ILR + # Capacity of tech rsc_all is MWac measured at the power block, while PV capacity is MWdc, + # so multiply csp-ns capacity by the ILR [MWdc/MWac] of PV + gdb_use.loc[gdb_use['tech'].isin(TECH['rsc_all']) ,'summer_power_capacity_MW'] *= scalars['ilr_utility'] + #%%################################## # -- All Existing Capacity -- # ##################################### ### Used as the starting point for intra-zone network reinforcement costs # Power capacity in MW - poi_cap_init = gdb_use.loc[(gdb_use[Sw_onlineyearcol] < startyear) & + poi_cap_init = gdb_use.loc[(gdb_use['StartYear'] < startyear) & (gdb_use['RetireYear'] > startyear) ].groupby('r').summer_power_capacity_MW.sum().rename('MW').round(3) poi_cap_init.index = poi_cap_init.index.rename('*r') @@ -319,20 +462,20 @@ def main(reeds_path, inputs_case, agglevel, regions): print('Gathering non-RSC Existing Capacity...') capnonrsc = gdb_use.loc[(gdb_use['tech'].isin(TECH['capnonrsc'])) & - (gdb_use[Sw_onlineyearcol] < startyear) & + (gdb_use['StartYear'] < startyear) & (gdb_use['RetireYear'] > startyear) ] capnonrsc = capnonrsc[COLNAMES['capnonrsc'][0]] capnonrsc.columns = COLNAMES['capnonrsc'][1] - capnonrsc = capnonrsc.groupby(COLNAMES['capnonrsc'][1][:-1]).sum().reset_index() + capnonrsc = capnonrsc.groupby(COLNAMES['capnonrsc'][1][:-1]).sum().reset_index().rename(columns={'i':'*i'}) capnonrsc_energy = gdb_use.loc[(gdb_use['tech'].isin(TECH['capnonrsc_energy'])) & - (gdb_use[Sw_onlineyearcol] < startyear) & + (gdb_use['StartYear'] < startyear) & (gdb_use['RetireYear'] > startyear) ] capnonrsc_energy = capnonrsc_energy[COLNAMES['capnonrsc_energy'][0]] capnonrsc_energy.columns = COLNAMES['capnonrsc_energy'][1] - capnonrsc_energy = capnonrsc_energy.groupby(COLNAMES['capnonrsc_energy'][1][:-1]).sum().reset_index() + capnonrsc_energy = capnonrsc_energy.groupby(COLNAMES['capnonrsc_energy'][1][:-1]).sum().reset_index().rename(columns={'i':'*i'}) #%%######################################## @@ -340,10 +483,37 @@ def main(reeds_path, inputs_case, agglevel, regions): ########################################### print('Gathering non-RSC Prescribed Capacity...') + ivt_df= pd.read_csv(os.path.join(inputs_case,'ivt.csv')) + + ### modify set of technology name as lower case and convert all columns except the first to string + ivt_df.iloc[:, 0] = ivt_df.iloc[:, 0].str.lower() + ivt_df=ivt_df.astype(str) + ivt_df = ivt_df[[ivt_df.columns[0]] + [str(y) for y in years]] + + + full_range = list(range(years[0], years[-1] + 1)) + + for y in full_range: + y_str = str(y) + if y_str not in ivt_df.columns: + # Find closest *future* year that exists + future_years = [fy for fy in years if fy >= y] + closest_future = min(future_years) + ivt_df[y_str] = ivt_df[str(closest_future)] + + ivt_df = ivt_df[[ivt_df.columns[0]] + [str(x) for x in full_range]] + + ### prescribed power capacity prescribed_nonRSC = gdb_use.loc[(gdb_use['tech'].isin(TECH['prescribed_nonRSC'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) + (gdb_use['StartYear'] >= startyear) & + (gdb_use['StartYear'] < endyear) ] + prescribed_nonRSC['tech'] = prescribed_nonRSC['tech'].str.lower() + ### assign vintage based on start year of the unit + prescribed_nonRSC= pd.merge(prescribed_nonRSC, ivt_df, how='left', left_on='tech', right_on='Unnamed: 0') + prescribed_nonRSC['vin'] = prescribed_nonRSC.apply(lambda row: f"new{row[str(row['StartYear'])]}", axis=1) + prescribed_nonRSC = prescribed_nonRSC[COLNAMES['prescribed_nonRSC'][0]] prescribed_nonRSC.columns = COLNAMES['prescribed_nonRSC'][1] # Remove ctt and wst data from storage, set coolingwatertech to tech type ('i') @@ -361,12 +531,18 @@ def main(reeds_path, inputs_case, agglevel, regions): prescribed_nonRSC = pd.concat([prescribed_nonRSC,demo],sort=False) prescribed_nonRSC = ( - prescribed_nonRSC.groupby(COLNAMES['prescribed_nonRSC'][1][:-1]).sum().reset_index()) + prescribed_nonRSC.groupby(COLNAMES['prescribed_nonRSC'][1][:-1]).sum().reset_index()).rename(columns={'i':'*i'}) ### prescribed energy capacity prescribed_nonRSC_energy = gdb_use.loc[(gdb_use['tech'].isin(TECH['prescribed_nonRSC_energy'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) + (gdb_use['StartYear'] >= startyear) & + (gdb_use['StartYear'] < endyear) ] + + ### assign vintage based on start year of the unit + prescribed_nonRSC_energy= pd.merge(prescribed_nonRSC_energy, ivt_df, how='left', left_on='tech', right_on='Unnamed: 0') + prescribed_nonRSC_energy['vin'] = prescribed_nonRSC_energy.apply(lambda row: f"new{row[str(row['StartYear'])]}", axis=1) + prescribed_nonRSC_energy = prescribed_nonRSC_energy[COLNAMES['prescribed_nonRSC_energy'][0]] prescribed_nonRSC_energy.columns = COLNAMES['prescribed_nonRSC_energy'][1] # Remove ctt and wst data from storage, set coolingwatertech to tech type ('i') @@ -375,7 +551,9 @@ def main(reeds_path, inputs_case, agglevel, regions): prescribed_nonRSC_energy.loc[j,['ctt','wst','coolingwatertech']] = ['n','n',row['i']] prescribed_nonRSC_energy = ( - prescribed_nonRSC_energy.groupby(COLNAMES['prescribed_nonRSC_energy'][1][:-1]).sum().reset_index()) + prescribed_nonRSC_energy.groupby(COLNAMES['prescribed_nonRSC_energy'][1][:-1]).sum().reset_index()).rename(columns={'i':'*i'}) + + #%%################################## # -- RSC Existing Capacity -- # @@ -384,24 +562,26 @@ def main(reeds_path, inputs_case, agglevel, regions): The following are RSC tech that are treated differently in the model ''' print('Gathering RSC Existing Capacity...') + # DUPV and UPV values are collected at the same time here: caprsc = gdb_use.loc[(gdb_use['tech'].isin(TECH['rsc_all'][:2])) & - (gdb_use[Sw_onlineyearcol] < startyear) & - (gdb_use['RetireYear'] > startyear) + (gdb_use['StartYear'] < startyear) & + (gdb_use['RetireYear'] > startyear) ] + caprsc['v']='init-1' caprsc = caprsc[COLNAMES['rsc'][0]] caprsc.columns = COLNAMES['rsc'][1] - caprsc = caprsc.groupby(COLNAMES['rsc'][1][:-2]).value.sum().reset_index() - # Multiply all PV capacities by ILR - caprsc['value'] = caprsc['value'] * scalars['ilr_utility'] + caprsc = caprsc.groupby(COLNAMES['rsc'][1][:-3]).value.sum().reset_index().rename(columns={'i':'*i'}) + # Add existing CSP builds: # Note: Since CSP data is affected by GSw_WaterMain, it must be dealt with # separate from the other RSC tech (UPV, DUPV, wind, etc) csp = gdb_use.loc[(gdb_use['tech'].isin(TECH['rsc_csp'])) & - (gdb_use[Sw_onlineyearcol] < startyear) & - (gdb_use['RetireYear'] > startyear) + (gdb_use['StartYear'] < startyear) & + (gdb_use['RetireYear'] > startyear) ] + csp['v']='init-1' csp = csp[COLNAMES['rsc'][0]] csp.columns = COLNAMES['rsc'][1] csp = csp.groupby(COLNAMES['rsc'][1][:-1]).sum().reset_index() @@ -418,17 +598,17 @@ def main(reeds_path, inputs_case, agglevel, regions): .rename({"tech":"i","summer_power_capacity_MW":"value"}, axis=1) hyd['ctt'] = 'n' - + hyd['v'] = 'init-1' # Concat all RSC Existing Data to one dataframe: - caprsc = pd.concat([caprsc, csp, hyd]) - + # caprsc = pd.concat([caprsc, csp, hyd]) + caprsc = hyd # Export Existing RSC data specifically used in writesupplycurves.py - rsc_wsc = create_rsc_wsc(gdb_use, TECH=TECH, scalars=scalars,startyear=startyear) + rsc_wsc = create_rsc_wsc(gdb_use, TECH=TECH, startyear=startyear) # Create geoexist.csv and copy to inputs_case geoexist = gdb_use.loc[(gdb_use['tech'].isin(['geohydro_allkm','egs_allkm'])) & - (gdb_use[Sw_onlineyearcol] < startyear) & - (gdb_use['RetireYear'] > startyear) + (gdb_use['StartYear'] < startyear) & + (gdb_use['RetireYear'] > startyear) ] geoexist = (geoexist[['tech','r','summer_power_capacity_MW']] .rename(columns={'tech':'*i','summer_power_capacity_MW':'MW'}) @@ -436,56 +616,76 @@ def main(reeds_path, inputs_case, agglevel, regions): geoexist = geoexist.groupby(['*i','r']).sum().reset_index() # Rename generic geothermal tech category to geohydro_allkm_1 geoexist['*i'] = 'geohydro_allkm_1' +#%%---------------------------------------------------------------------------- + ###################################### + # -- RSC Exogenous Capacity -- # + ###################################### - + (cap_exog, rsc_class) = create_exog_rsc(reeds_path, inputs_case, gdb_use, TECH, COLNAMES, sw, startyear) + + #%%#################################### # -- RSC Prescribed Capacity -- # ####################################### print('Gathering RSC Prescribed Capacity...') - # DUPV and UPV values are collected at the same time here: - pupv = gdb_use.loc[(gdb_use['tech'].isin(TECH['prsc_upv'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) - ] - pupv = pupv[COLNAMES['prsc_upv'][0]] - pupv.columns = COLNAMES['prsc_upv'][1] - pupv = pupv.groupby(['t','r','i']).sum().reset_index() - # Multiply all PV capacities by ILR - pupv['value'] = pupv['value'] * scalars['ilr_utility'] - - # Load in wind builds: - pwind = gdb_use.loc[(gdb_use['tech'].isin(TECH['prsc_w'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) - ] - pwind = pwind[COLNAMES['prsc_w'][0]] - pwind.columns = COLNAMES['prsc_w'][1] - - pwind = pwind.groupby(['t','r','i']).sum().reset_index() - pwind.sort_values(['t','r'], inplace=True) - - # Add prescribed csp builds: - # Note: Since csp is affected by GSw_WaterMain, it must be dealt with separate - # from the other RSC tech (dupv, upv, wind, etc) - pcsp = gdb_use.loc[(gdb_use['tech'].isin(TECH['prsc_csp'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) - ] - pcsp = pcsp[COLNAMES['prsc_csp'][0]] - pcsp.columns = COLNAMES['prsc_csp'][1] - if GSw_WaterMain == 1: - pcsp['i'] = np.where(pcsp['i']=='csp-ws',pcsp['i']+'_'+pcsp['ctt']+'_'+pcsp['wst'],'csp-ws') - - # Load in geo builds: - pgeo = gdb_use.loc[(gdb_use['tech'].isin(TECH['prsc_geo'])) & - (gdb_use[Sw_onlineyearcol] >= startyear) - ] - pgeo = pgeo[COLNAMES['prsc_geo'][0]] - pgeo.columns = COLNAMES['prsc_geo'][1] - - pgeo = pgeo.groupby(['t','r','i']).sum().reset_index() - pgeo.sort_values(['t','r'], inplace=True) - + cap_pres = {} + for tech in TECH['rsc_wsc']: + cap_pres[tech]= gdb_use.loc[(gdb_use['tech']==tech) & + (gdb_use['StartYear'] >= startyear) & + (gdb_use['StartYear'] < endyear) + ].copy() + mask = ivt_df['Unnamed: 0'].str.contains(tech, case=False, na=False) + if len(cap_pres[tech]) != 0: + # DUPV and UPV values are collected at the same time here: + if tech in TECH['prsc_upv']: + print(tech) + cap_pres[tech]["class"] = cap_pres[tech]["reV_capacity_factor_ac"].apply( + lambda x: assign_class(x, tech, rsc_class['upv'])) + cap_pres[tech]["tech"] = (cap_pres[tech]["tech"].astype(str) + "_" + + cap_pres[tech]["class"].astype(str)) + # Load in wind builds: + elif tech in TECH['prsc_w']: + print(tech) + cap_pres[tech]["class"] = cap_pres[tech]["reV_capacity_factor_ac"].apply( + lambda x: assign_class(x, tech, rsc_class[tech])) + cap_pres[tech]["tech"] = (cap_pres[tech]["tech"].astype(str) + "_" + + cap_pres[tech]["class"].astype(str)) + # Add prescribed csp builds: + # Note: Since csp is affected by GSw_WaterMain, it must be dealt with separate + # from the other RSC tech (dupv, upv, wind, etc) + elif tech in TECH['prsc_csp']: + print(tech) + cap_pres[tech]["class"] = cap_pres[tech]["reV_capacity_factor_ac"].apply( + lambda x: assign_class(x, tech, rsc_class['upv'])) + cap_pres[tech]["tech"] = (cap_pres[tech]["tech"].astype(str) + "_" + + cap_pres[tech]["class"].astype(str)) + if GSw_WaterMain == 1: + cap_pres[tech]["tech"] = np.where( cap_pres[tech]["tech"]=='csp-ws', + cap_pres[tech]["tech"]+'_'+cap_pres[tech]['ctt']+'_'+cap_pres[tech]['wst'], + 'csp-ws') + # Load in geo builds: + elif tech in TECH['prsc_geo']: + cap_pres[tech]["class"] = cap_pres[tech]["reV_mean_resource_temp"].apply( + lambda x: assign_class(x, tech, rsc_class[tech])) + cap_pres[tech]["tech"] = (cap_pres[tech]["tech"].astype(str) + "_" + + cap_pres[tech]["class"].astype(str)) + # assign vintages based on start year of the unit + ivt_df_mask = (ivt_df[mask] # filter rows + .iloc[:, 1:] # drop first technology column + .melt(var_name='year', value_name='vin_num') # convert to long format + .assign( + vin=lambda df: 'new' + df['vin_num'].astype(str), + year=lambda df: df['year'].astype(int) # year to intager + )) + cap_pres[tech] = pd.merge(cap_pres[tech], ivt_df_mask, how='left', left_on='StartYear', right_on='year') + cap_pres[tech] = cap_pres[tech][COLNAMES['prescribed_RSC'][0]] + cap_pres[tech].columns = COLNAMES['prescribed_RSC'][1] + cap_pres[tech] = cap_pres[tech].groupby(['i','v','r','t']).sum().reset_index() # Concat all RSC Existing Data to one dataframe: - prescribed_rsc = pd.concat([pupv,pwind,pcsp,pgeo],sort=False) + prescribed_rsc = pd.concat([cap_pres[tech] for tech in TECH["rsc_wsc"] + if tech in cap_pres and not cap_pres[tech].empty],ignore_index=True) + #%%---------------------------------------------------------------------------- ################################ @@ -588,29 +788,58 @@ def main(reeds_path, inputs_case, agglevel, regions): ################################ print('Gathering Retirement Data...') rets = gdb_use.loc[(gdb_use['tech'].isin(TECH['retirements'])) & - (gdb_use[retscen]>startyear) - ] + (gdb_use[retscen]>startyear) & (gdb_use[retscen]<=endyear) & + (gdb_use['StartYear'] < endyear) + ].copy() + + # Assign the retirements type based on whether the unit was online before or after startyear + rets['type'] = None + if len(rets) > 0: + rets.loc[rets['StartYear'] >= startyear,'type']='prescribed' + rets.loc[rets['StartYear'] < startyear, 'type']='existing' + + rets['tech'] = rets['tech'].str.lower() + rets= pd.merge(rets, ivt_df, how='left', left_on='tech', right_on='Unnamed: 0') + rets['v'] = rets.apply(lambda row: f"new{row[str(row['StartYear'])]}" + if row['StartYear'] >= startyear + else "init-1",axis=1) + rets['StartYear']=rets['StartYear'].apply(lambda x: assign_modeledyear(x, years)) + rets[retscen]=rets[retscen].apply(lambda x: assign_modeledyear(x, years)) rets = rets[COLNAMES['retirements'][0]] rets.columns = COLNAMES['retirements'][1] rets.sort_values(by=COLNAMES['retirements'][1],inplace=True) - rets = rets.groupby(COLNAMES['retirements'][1][:-1]).sum().reset_index() + rets = rets.groupby(COLNAMES['retirements'][1][:-1]).sum().reset_index().rename(columns={'i':'*i'}) rets_energy = gdb_use.loc[(gdb_use['tech'].isin(TECH['retirements_energy'])) & - (gdb_use[retscen]>startyear) - ] + (gdb_use[retscen]>startyear) & (gdb_use[retscen]<=endyear) & + (gdb_use['StartYear'] < endyear) + ].copy() + # Assign the retirements type based on whether the unit was online before or after startyear + rets_energy['type'] = None + if len(rets_energy) > 0: + rets_energy.loc[rets_energy['StartYear'] >= startyear,'type']='prescribed' + rets_energy.loc[rets_energy['StartYear'] < startyear, 'type']='existing' + + rets_energy['tech'] = rets_energy['tech'].str.lower() + rets_energy= pd.merge(rets_energy, ivt_df, how='left', left_on='tech', right_on='Unnamed: 0') + rets_energy['v'] = rets_energy.apply(lambda row: f"new{row[str(row['StartYear'])]}" + if row['StartYear'] >= startyear + else "init-1",axis=1) + rets_energy['StartYear']=rets_energy['StartYear'].apply(lambda x: assign_modeledyear(x, years)) + rets_energy[retscen]=rets_energy[retscen].apply(lambda x: assign_modeledyear(x, years)) rets_energy = rets_energy[COLNAMES['retirements_energy'][0]] rets_energy.columns = COLNAMES['retirements_energy'][1] rets_energy.sort_values(by=COLNAMES['retirements_energy'][1],inplace=True) - rets_energy = rets_energy.groupby(COLNAMES['retirements_energy'][1][:-1]).sum().reset_index() + rets_energy = rets_energy.groupby(COLNAMES['retirements_energy'][1][:-1]).sum().reset_index().rename(columns={'i':'*i'}) ################################ # -- Wind Retirements -- # ################################ print('Gathering Wind Retirement Data...') wind_rets = gdb_use.loc[(gdb_use['tech'].isin(TECH['windret'])) & - (gdb_use[Sw_onlineyearcol] <= startyear) & - (gdb_use['RetireYear'] > startyear) & - (gdb_use['RetireYear'] < startyear + 30) + (gdb_use['StartYear'] <= startyear) & + (gdb_use['RetireYear'] > startyear) & + (gdb_use['RetireYear'] < startyear + 30) ] wind_rets = wind_rets[COLNAMES['windret'][0]] wind_rets.columns = COLNAMES['windret'][1] @@ -626,9 +855,9 @@ def main(reeds_path, inputs_case, agglevel, regions): #================================ print('Gathering Geothermal Retirement Data...') geo_retirements = gdb_use.loc[(gdb_use['tech'].isin(TECH['georet'])) & - (gdb_use[Sw_onlineyearcol] <= startyear) & - (gdb_use['RetireYear'] > startyear) & - (gdb_use['RetireYear'] < startyear + 30) + (gdb_use['StartYear'] <= startyear) & + (gdb_use['RetireYear'] > startyear) & + (gdb_use['RetireYear'] < startyear + 30) ] geo_retirements = geo_retirements[COLNAMES['georet'][0]] geo_retirements.columns = COLNAMES['georet'][1] @@ -664,11 +893,15 @@ def main(reeds_path, inputs_case, agglevel, regions): ######################################## # -- Waterconstraint Indexing -- # ######################################## - - rets['i'] = rets['i'].str.lower() - rets_energy['i'] = rets_energy['i'].str.lower() - prescribed_nonRSC['i'] = prescribed_nonRSC['i'].str.lower() - prescribed_nonRSC_energy['i'] = prescribed_nonRSC_energy['i'].str.lower() + + if len(rets) > 0: + rets['*i'] = rets['*i'].str.lower() + if len(rets_energy) > 0: + rets_energy['*i'] = rets_energy['*i'].str.lower() + if len(prescribed_nonRSC) > 0: + prescribed_nonRSC['*i'] = prescribed_nonRSC['*i'].str.lower() + if len(prescribed_nonRSC_energy) > 0: + prescribed_nonRSC_energy['*i'] = prescribed_nonRSC_energy['*i'].str.lower() # When water constraints are enabled, retirements are also indexed by cooling technology # and cooling water source. otherwise, they only have the indices of year, region, and tech @@ -689,38 +922,38 @@ def main(reeds_path, inputs_case, agglevel, regions): prescribed_nonRSC_energy .groupby(COLNAMES['prescribed_nonRSC_energy'][1][:-1]).sum().reset_index()) - rets['i'] = rets['coolingwatertech'] - rets = rets.groupby(['t','r','i']).value.sum().reset_index() - rets.columns = ['t','r','i','value'] + rets['*i'] = rets['coolingwatertech'] + rets = rets.groupby(['*i','v','r','t','tt','type']).value.sum().reset_index() + rets.columns = ['*i','v','r','t','tt','type','value'] - capnonrsc['i'] = capnonrsc['coolingwatertech'] - capnonrsc = capnonrsc.groupby(['i','r']).value.sum().reset_index() + capnonrsc['*i'] = capnonrsc['coolingwatertech'] + capnonrsc = capnonrsc.groupby(['*i','r']).value.sum().reset_index() capnonrsc.columns = ['i','r','value'] - prescribed_nonRSC['i'] = prescribed_nonRSC['coolingwatertech'] - prescribed_nonRSC = prescribed_nonRSC.groupby(['t','r','i']).value.sum().reset_index() - prescribed_nonRSC.columns = ['t','r','i','value'] + prescribed_nonRSC['*i'] = prescribed_nonRSC['coolingwatertech'] + prescribed_nonRSC = prescribed_nonRSC.groupby(['*i','v','r','t']).value.sum().reset_index() + prescribed_nonRSC.columns = ['*i','v','r','t','value'] prescribed_nonRSC_energy['i'] = prescribed_nonRSC_energy['coolingwatertech'] - prescribed_nonRSC_energy = prescribed_nonRSC_energy.groupby(['t','r','i']).value.sum().reset_index() - prescribed_nonRSC_energy.columns = ['t','r','i','value'] + prescribed_nonRSC_energy = prescribed_nonRSC_energy.groupby(['*i','v','r','t']).value.sum().reset_index() + prescribed_nonRSC_energy.columns = ['*i','v','r','t','value'] else: # Group by [year, region, tech] - rets = rets.groupby(['t','r','i']).value.sum().reset_index() - rets.columns = ['t','r','i','value'] + rets = rets.groupby(['*i','v','r','t','tt','type']).value.sum().reset_index() + rets.columns = ['*i','v','r','t','tt','type','value'] - capnonrsc = capnonrsc.groupby(['i','r']).value.sum().reset_index() - capnonrsc.columns = ['i','r','value'] + capnonrsc = capnonrsc.groupby(['*i','r']).value.sum().reset_index() + capnonrsc.columns = ['*i','r','value'] - prescribed_nonRSC = prescribed_nonRSC.groupby(['t','r','i']).value.sum().reset_index() - prescribed_nonRSC.columns = ['t','r','i','value'] + prescribed_nonRSC = prescribed_nonRSC.groupby(['*i','v','r','t']).value.sum().reset_index() + prescribed_nonRSC.columns = ['*i','v','r','t','value'] - prescribed_nonRSC_energy = prescribed_nonRSC_energy.groupby(['t','r','i']).value.sum().reset_index() - prescribed_nonRSC_energy.columns = ['t','r','i','value'] + prescribed_nonRSC_energy = prescribed_nonRSC_energy.groupby(['*i','v','r','t']).value.sum().reset_index() + prescribed_nonRSC_energy.columns = ['*i','v','r','t','value'] # Final Groupby step for capacity groupings not affected by GSw_WaterMain: - caprsc = caprsc.groupby(['i','r']).value.sum().reset_index() - prescribed_rsc = prescribed_rsc.groupby(['t','i','r']).value.sum().reset_index() + caprsc = caprsc.groupby(['i','v','r']).value.sum().reset_index().rename(columns={'i':'*i'}) + prescribed_rsc = prescribed_rsc.groupby(['i','v','r','t']).value.sum().reset_index().rename(columns={'i':'*i'}) #%%---------------------------------------------------------------------------- @@ -762,8 +995,7 @@ def main(reeds_path, inputs_case, agglevel, regions): ## Reshape for GAMS .stack().rename_axis(['*r','t']).rename('MW').round(3) ) - - + #%%---------------------------------------------------------------------------- ############################## # -- Data Write-Out -- # @@ -779,14 +1011,14 @@ def main(reeds_path, inputs_case, agglevel, regions): #%% # Return - files_out = {'capnonrsc' : capnonrsc[['i','r','value']], - 'capnonrsc_energy' : capnonrsc_energy[['i','r','value']], - 'rets' : rets[['t','r','i','value']], - 'rets_energy' : rets_energy[['t','r','i','value']], - 'prescribed_nonRSC' : prescribed_nonRSC[['t','i','r','value']], - 'prescribed_nonRSC_energy' : prescribed_nonRSC_energy[['t','i','r','value']], - 'caprsc' :caprsc[['i','r','value']], - 'prescribed_rsc' : prescribed_rsc[['t','i','r','value']], + files_out = {'capnonrsc' : capnonrsc[['*i','r','value']], + 'capnonrsc_energy' : capnonrsc_energy[['*i','r','value']], + 'rets' : rets[['*i','v','r','t','tt','type','value']], + 'rets_energy' : rets_energy[['*i','v','r','t','tt','type','value']], + 'prescribed_nonRSC' : prescribed_nonRSC[['*i','v','r','t','value']], + 'prescribed_nonRSC_energy' : prescribed_nonRSC_energy[['*i','v','r','t','value']], + 'caprsc' :caprsc[['*i','v','r','value']], + 'prescribed_rsc' : prescribed_rsc[['*i','v','r','t','value']], 'wind_rets' : wind_rets, 'h2_existing_smr_cap' : h2_existing_smr_cap[['*r','t','value']], 'geo_retirements' : geo_retirements, @@ -796,7 +1028,11 @@ def main(reeds_path, inputs_case, agglevel, regions): 'hydcapadj_ccszn' : hydcapadj_ccszn[['*i','ccseason','r','value']], 'can_imports_capacity' : can_imports_capacity, 'geoexist' : geoexist, - 'h2_ba_share': h2_ba_share_out + 'h2_ba_share': h2_ba_share_out, + 'exog_cap_upv':cap_exog['upv'], + 'exog_cap_wind-ons':cap_exog['wind-ons'], + 'exog_cap_wind-ofs':cap_exog['wind-ofs'], + 'exog_cap_geohydro':cap_exog['geohydro_allkm'] } return files_out @@ -818,6 +1054,10 @@ def main(reeds_path, inputs_case, agglevel, regions): reeds_path = args.reeds_path inputs_case = args.inputs_case + # #%% Settings for testing + #reeds_path = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)),'..','..')) + #inputs_case = os.path.join(reeds_path,'runs','test_github_Everything','inputs_case') + #%% Set up logger log = reeds.log.makelog( scriptname=__file__, diff --git a/reeds/input_processing/writesupplycurves.py b/reeds/input_processing/writesupplycurves.py index 342b5e94..57f87a4b 100644 --- a/reeds/input_processing/writesupplycurves.py +++ b/reeds/input_processing/writesupplycurves.py @@ -52,11 +52,9 @@ def _wm(x): return _wm -def get_exog_cap(inputs_case, tech, dfsc): +def get_exog_cap(dfexogtech,dfsc): """Get exogenous capacity by class, region, rscbin, and year""" - dfexog = ( - pd.read_csv(os.path.join(inputs_case, f'exog_cap_{tech}.csv')) - .merge( + dfexog = (dfexogtech.merge( dfsc.explode('sc_point_gid').reset_index()[['sc_point_gid','bin']], on='sc_point_gid', ) @@ -133,14 +131,14 @@ def agg_supplycurve( def main( - reeds_path, inputs_case, AggregateRegions=1, rsc_wsc_dat=None, write=True, **kwargs + reeds_path, inputs_case, AggregateRegions=1, rsc_wsc_dat=None, exog_rsc_dat=None, write=True, **kwargs ): # #%% Settings for testing - # reeds_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) - # inputs_case = os.path.join(reeds_path,'runs','v20251209_scM0_Pacific','inputs_case') - # AggregateRegions = 1 - # rsc_wsc_dat = None - # write = True + #reeds_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + #inputs_case = os.path.join(reeds_path,'runs','test_Ref','inputs_case') + #AggregateRegions = 1 + #rsc_wsc_dat = None + #write = True # kwargs = {} #%% Inputs from switches @@ -197,8 +195,26 @@ def main( else: # writesupplycurves.py is being passed rsc_wsc data from an aggregate_regions.py call rsc_wsc = rsc_wsc_dat.copy() - - # Group CSP tech + #%% Load the existing RSC capacity (PV plants, wind, and CSP) if not provided in main function call + if exog_rsc_dat is None: + # writesupplycurves.py is being run as a main input processing script + dfwindonsexog = pd.read_csv(os.path.join(inputs_case, "exog_cap_wind-ons.csv")).rename( + columns={"capacity": "MW"}) + dfwindofsexog = pd.read_csv(os.path.join(inputs_case, "exog_cap_wind-ofs.csv")).rename( + columns={"capacity": "MW"}) + dfupvexog = pd.read_csv(os.path.join(inputs_case, "exog_cap_upv.csv")).rename( + columns={"capacity": "MW"}) + dfgeohydroexog = pd.read_csv(os.path.join(inputs_case, "exog_cap_geohydro.csv")).rename( + columns={"capacity": "MW"}) + + else: + # writesupplycurves.py is being passed exog_rsc data from an aggregate_regions.py call + dfwindonsexog = exog_rsc_dat['wind-ons'].copy() + dfwindofsexog = exog_rsc_dat['wind-ofs'].copy() + dfupvexog = exog_rsc_dat['upv'].copy() + dfgeohydroexog = exog_rsc_dat['geohydro_allkm'].copy() + + # Group CSP tech rsc_wsc.loc[rsc_wsc['i']=='csp-ws', 'i'] = 'csp' rsc_wsc = rsc_wsc.groupby(["r", "i"]).sum().reset_index() rsc_wsc.i = rsc_wsc.i.str.lower() @@ -321,8 +337,10 @@ def main( if write: ## Exogenous wind capacity - dfwindexog = get_exog_cap(inputs_case, tech='wind-ons', dfsc=wind['ons']) - dfwindexog.round(3).to_csv(os.path.join(inputs_case, "exog_wind_ons_rsc.csv")) + dfwindonsexog = get_exog_cap(dfwindonsexog, dfsc=wind['ons']) + dfwindonsexog.round(3).to_csv(os.path.join(inputs_case, "exog_wind_ons_rsc.csv")) + dfwindofsexog = get_exog_cap(dfwindofsexog, dfsc=wind['ofs']) + dfwindofsexog.round(3).to_csv(os.path.join(inputs_case, "exog_wind_ofs_rsc.csv")) # %%############### # -- PV -- # @@ -362,7 +380,7 @@ def main( if write: ## Exogenous UPV capacity - dfupvexog = get_exog_cap(inputs_case, tech='upv', dfsc=upv) + dfupvexog = get_exog_cap(dfupvexog, dfsc=upv) dfupvexog.round(3).to_csv(os.path.join(inputs_case, "exog_upv_rsc.csv")) ### Normalize formatting @@ -580,7 +598,7 @@ def main( if use_geohydro_rev_sc: ## Exogenous geohydro capacity - dfgeohydroexog = get_exog_cap(inputs_case, tech='geohydro', dfsc=geo['geohydro']) + dfgeohydroexog = get_exog_cap(dfgeohydroexog , dfsc=geo['geohydro']) dfgeohydroexog.round(3).to_csv( os.path.join(inputs_case, "exog_geohydro_allkm_rsc.csv") ) diff --git a/reeds/inputs.py b/reeds/inputs.py index 416bebbd..7ed3e115 100644 --- a/reeds/inputs.py +++ b/reeds/inputs.py @@ -117,6 +117,8 @@ def add_intermediate_switches(dfcases:pd.DataFrame) -> pd.DataFrame: for case in cases: sw = dfcases[case] new_switches[case] = {} + # Add startyear switch as the first year in yearset + new_switches[case]['startyear'] = str(parse_yearset(sw['yearset'])[0]) ### TEMPORARY 20260402: The GSw_RegionResolution switch is deprecated; ### for now, hardcode its value for the region resolutions that use it match sw['GSw_ZoneSet']: diff --git a/reeds/io.py b/reeds/io.py index d4bcd313..cffdc5e7 100644 --- a/reeds/io.py +++ b/reeds/io.py @@ -1429,7 +1429,7 @@ def get_available_capacity_weighted_cf(case, level='country'): return dfout -def get_sitemap(offshore=False, geo=True): +def get_sitemap(offshore=False, geo=True, crs=None): """ Get mapping from sc_point_gid to geographic points and counties. """ @@ -1442,7 +1442,7 @@ def get_sitemap(offshore=False, geo=True): + (['ba', 'always_radial'] if offshore else []) ] if geo: - crs = 'EPSG:5070' if offshore else 'ESRI:102008' + crs = 'EPSG:5070' if (offshore or (crs is not None)) else 'ESRI:102008' sitemap = reeds.plots.df2gdf(sitemap, crs=crs) return sitemap diff --git a/runreeds.py b/runreeds.py index 6bcd6664..f90fb0ff 100644 --- a/runreeds.py +++ b/runreeds.py @@ -1265,6 +1265,7 @@ def write_batch_script( big_comment('Input processing', OPATH) for s in [ 'copy_files', + 'process_unitdata', 'mcs_sampler', 'aggregate_regions', 'hydcf',