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The effects of climate change on heating energy consumption of office buildings in different climate zones in China

机译:气候变化对中国不同气候区办公楼供热能耗的影响

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Climate plays an important role in heating energy consumption owing to the direct relationship between space heating and changes in meteorological conditions. To quantify the impact, the Transient System Simulation Program software was used to simulate the heating loads of office buildings in Harbin, Tianjin, and Shanghai, representing three major climate zones (i.e., severe cold, cold, and hot summer and cold winter climate zones) in China during 1961-2010. Stepwise multiple linear regression was performed to determine the key climatic parameters influencing heating energy consumption. The results showed that dry bulb temperature (DBT) is the dominant climatic parameter affecting building heating loads in all three climate zones across China during the heating period at daily, monthly, and yearly scales (R-2 = 0.86). With the continuous warming climate in winter over the past 50 years, heating loads decreased by 14.2, 7.2, and 7.1 W/m(2) in Harbin, Tianjin, and Shanghai, respectively, indicating that the decreasing rate is more apparent in severe cold climate zone. When the DBT increases by 1 degrees C, the heating loads decrease by 253.1 W/m(2) in Harbin, 177.2 W/m(2) in Tianjin, and 126.4 W/m(2) in Shanghai. These results suggest that the heating energy consumption can be well predicted by the regression models at different temporal scales in different climate conditions owing to the high determination coefficients. In addition, a greater decrease in heating energy consumption in northern severe cold and cold climate zones may efficiently promote the energy saving in these areas with high energy consumption for heating. Particularly, the likely future increase in temperatures should be considered in improving building energy efficiency.
机译:由于空间供暖与气象条件变化之间存在直接关系,因此气候在供暖能耗中起着重要作用。为了量化影响,使用瞬态系统仿真程序软件来模拟哈尔滨,天津和上海的办公楼的热负荷,代表三个主要气候区(即严寒,严寒和炎热的夏季和寒冷的冬季气候区) )在1961-2010年期间在中国。进行逐步多元线性回归以确定影响加热能量消耗的关键气候参数。结果表明,干球温度(DBT)是影响中国三个气候区在供暖期间每天,每月和每年尺度(R-2> = 0.86)的建筑供暖负荷的主要气候参数。在过去50年中,随着冬季冬季持续变暖,哈尔滨,天津和上海的供热负荷分别下降了14.2、7.2和7.1 W / m(2),这表明降温率在严寒中更为明显。气候带。当DBT升高1摄氏度时,哈尔滨的供暖负荷降低253.1 W / m(2),天津降低177.2 W / m(2),而上海降低126.4 W / m(2)。这些结果表明,由于高的确定系数,通过在不同气候条件下不同时间尺度上的回归模型可以很好地预测供热能耗。此外,在北部严寒和寒冷气候地区,供暖能耗的进一步下降可以有效地促进这些地区的节能,因为供暖能耗很高。特别是在提高建筑能效时应考虑未来温度可能升高。

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