Cooling load temperature correction values calculation in major island-reef areas of South China Sea

Cui Yaping, Xie Jingchao, Liu Jiaping and Bai Lu

2019.02.20

Points out the imperfection of cooling load temperature correction value query table. Discusses the theoretical algorithm of cooling load temperature and its influencing factors. Applies the algorithm to supplement the cooling load temperature correction value. The results indicate that the current cooling load temperature correction values are lacking for low latitude and abundant wind and rain regions in the south of China. The cooling load temperature algorithm is verified to be feasible, and the maximum difference of each orientation between the calculated values and the given values of cooling load temperature is no more than 1 ℃ except for horizontal direction. The cooling load temperature is affected by multiple factors such as longitude, latitude, atmospheric transparency, heat transfer coefficient and absorptivity of exterior building surface, and thermal properties and display order of building materials. Taking a building with II-type wall, IV-type roof and 39.0 W/(m2·K) heat transfer coefficient in Yongshu Reef as an example, finds that the cooling load temperature of Yongshu Reef is lower than that of Beijing at different times, and the average difference is 2.5 ℃.