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Impact Of Modelled Global Solar Radiation On Simulated Building Heating And Cooling Loads

机译：模拟的全球太阳辐射对模拟建筑供暖和制冷负荷的影响

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Two-parameter regression models were used to predict global solar radiation (GSR) for the nine major thermal zones and sub-zones - severe cold (I, II and HI), cold (I, II and III), hot summer and cold winter, mild, and hot summer and warm winter - across China. The impact of using modelled GSR on building energy simulation was investigated. A total of nine cities were selected, one for each thermal zone. Generic office buildings were developed for each of the nine cities according the local design/energy codes. Two sets of energy simulation were conducted for each city, one with the measured GSR and the other the modelled data. The computed results were analysed in four aspects - solar heat through the windows, building heating loads, building cooling loads and the corresponding building energy consumption. It was found that simulated annual heating/cooling loads could differ by 0.1-6.2% and total building energy consumption 0.1-1.2%. These differences were also compared with the mean bias error and root-mean-squared error of the modelled GSR.
机译：使用两参数回归模型来预测九个主要热区和分区的全球太阳辐射（GSR）-严寒（I，II和HI），严寒（I，II和III），炎热的夏季和寒冷的冬季夏季，气候温和，炎热，温暖，冬季-中国各地。研究了使用建模的GSR对建筑能耗模拟的影响。总共选择了9个城市，每个热区一个。根据当地的设计/能源法规，为九个城市中的每一个开发了通用办公楼。每个城市进行了两组能源模拟，一组模拟了测得的GSR，另一组模拟了数据。计算结果从四个方面进行了分析-窗户的太阳热，建筑物的热负荷，建筑物的冷负荷以及相应的建筑物能耗。结果发现，模拟的年度供暖/制冷负荷可能相差0.1-6.2％，而建筑总能耗却相差0.1-1.2％。这些差异也与建模GSR的平均偏差误差和均方根误差进行了比较。

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