In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system

The data article refers to in situ real-time dataset of a rotary desiccant wheel system and description of its experimental design. The original research paper was published in Heliyon , “Optimization of a rotary desiccant wheel for enthalpy recovery of air-conditioning in a humid hospitality environment” [1] . Supplementing to this data article are eight dataset files pertaining to ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). Finally, the data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.