An interactive course on how the body handles heat during exercise, built around a heat-balance simulator.
Live: thermolab.vercel.app
Set the conditions and the runner, and the model shows whether the heat stress is compensable:
- Inputs: air temperature, humidity, running speed, wind, body mass and height, a cooling method (none, water, ice slurry or cooling vest) and heat acclimatisation.
- Outputs: metabolic heat production, dry heat exchange, the evaporation required against the maximum the environment allows, heat storage, core and skin temperature over time, and the time to reach a core temperature of 40 °C.
Lessons can load scenarios into the simulator, so students see each principle play out.
- Fundamentals of human heat balance
- Dry heat transfer
- Evaporative heat loss
- Thermal inertia and dissociation
- Adaptation theory and glossary
- Dynamics of heat adaptation
- Meta-analysis: the overall effect
- Time course: duration and magnitude
- Methods: passive and active heat adaptation
- Evidence-based recommendations
Lessons 7 to 10 summarise the heat adaptation meta-analysis by Tyler et al. (2024), including how quickly cardiovascular and sweating adaptations develop.
npm install
npm run devBuilt with React, TypeScript, Vite and Recharts, starting from a Google AI Studio app template. No API key is needed.
Alan Ruddock, exercise physiologist, Sheffield Hallam University (alanruddock.com). His PhD examined thermoregulation during exercise in the heat.