我国南海主要岛礁地区冷负荷温度修正值的计算
Cooling load temperature correction values calculation in major island-reef areas of South China Sea
摘要：
指出了冷负荷温度修正值查询用表的不完善性，探讨了冷负荷温度的理论算法及其影响因素，应用该算法对冷负荷温度修正值进行了补充完善。结果表明：目前冷负荷温度修正值对于我国南部低纬度多风雨地区缺失；冷负荷温度算法经验证可行，除水平方向外，不同朝向冷负荷温度计算值与给定值各时刻最大差值均不超过1 ℃；冷负荷温度受建筑所在地经度、纬度、大气透明度、外壁面换热系数及吸收系数、板壁材料热物性及排列顺序等多因素影响；以永暑礁Ⅱ型墙体、Ⅳ型屋面为例，取外壁面换热系数为39.0 W/（m2·K），由修正值补充结果得到永暑礁各朝向不同时刻冷负荷温度均低于北京，且平均差值可达2.5 ℃。
Abstract：
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 ℃.
Keywords:load calculation, cooling load temperature, site correction, heat transfer coefficient correction, low latitude region