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

Published: 28 July 2023| Version 2 | DOI: 10.17632/pwm6cg2shj.2
Contributors:
, Chung-Tai Wu

Description

The experimental dataset of a rotary desiccant wheel system in a Taoyuan hotel contains the 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). The related data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers. 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.

Files

Institutions

Lee-Ming Institute of Technology

Categories

Desiccant Cooling, Energy Recovery

Licence