作者: Huizhe Liu , Jiun Yeu Lim , Po-Yen Lai , Zhengwei Ge , Bianca Wint Hnin Thet
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摘要: District cooling systems (DCS) are important in tropical urban areas with high cooling demand and expectations for indoor comfort. Accurate prediction of DCS cooling loads is essential for system sizing and design of thermal storage. Cooling load estimation depends on many factors, including climate, internal heat gain, and building fabric. Our chapter specifically examines the impact of occupant behaviour and microclimate dynamics on cooling load profiles for Singapore’s residential cooling. These factors should be considered in the design and implementation of residential DCS to improve their efficiency.