Custom Weather Data

Ambient weather conditions significantly impact data center cooling efficiency.

• Source: Historical weather data is obtained via the Open-Meteo API.

• Content: Primarily uses ambient air temperature (°C) as input, though other parameters like wet-bulb temperature could be incorporated for more advanced cooling models.

• Coverage & Resolution: Covers supported DC locations from 2021–2024, aligned to the 15-minute simulation step.

• Usage: The ambient temperature directly influences the performance (Coefficient of Performance – COP) and energy consumption of the simulated HVAC system, particularly the chiller model.

• Storage: Stored in yearly JSON files under data/weather/REGION/YEAR/.