Desiccant

Since the spread of covid-19 in 2019, it is necessary to realize an indoor environment that takes measures against viral infections such as covid-19 and influenza virus. One method for realizing such an indoor environment is to control indoor humidity. In a high-humidity environment, mold grows, indoor air quality deteriorates, and physical fatigue increases. On the other hand, in a low-humidity environment, viruses easily suspend and the immune system gets weaker. Therefore, controlling indoor humidity is necessary for human health.

This application paper outlines some innovative building simulation methodologies used to predict thermal performance of complex energy efficient systems using commercially available softwares. Industry case studies are presented to demonstrate how simulation can influence the design process with requirements varying from zero carbon emissions to optimum thermal comfort. Simplifications used to reduce computational time and handle software limitations are assessed in regards to model accuracy and the ability to influence the design decision process.

In the previous study, a numerical method which simulates combined heat and moisture transfer process in solid desiccant materials was investigated. The calculation results successfully reproduced the cyclic process of the moisture adsorption and desorption. The validity of the numerical simulation method for the desiccant wheel was examined by the comparison between the experiment and the numerical simulation of the desiccant dehumidifier.