Quantifying Thermal Resiliency and Passive Survivability During Prolonged Air Conditioning Outages: Arizona Case Study Dataset

This dataset contains raw as well as processed data related to indoor thermal performance of buildings during controlled air- conditoning shut down and its recovery phase. Raw data includes indoor thermal indoor dry-bulb temperature (°F) and Relative Humidity (%) from a 2BHK apartment in Mesa, Arizona. Processed data includes various thermal resilience metrcis such as Heat Index, maximum temperature, time duration in different temperature thresholds, Temperature change rate (°F/hr), time to reach threshold temperature, and more. Most of the reserach in thermal resiliency and passive survivability rely on building energy simulations. There is still lack of measurement and verificcation done in this endeavour. The dataset is designed to support research on thermal resiliency under extreme heat events, indoor heat exposure risks, recovery dynamics after cooling restoration, and passive survivability. The study uses a combined metrics like severity metrics, time-to threshold metrics, recovery rate, and sinusoidal equation to predict indoor temperature during prolonged AC outage. This dataset should be able to supports reproducibility of thermal resiliency metrics. All formulas are included in for transparency.