所属单位：

建筑学院

发表刊物：

Applied Energy

关键字：

中文关键字：预期平均投票；适应性热舒适模型；建筑节能；气候变化；采暖空调需求，英文关键字：Predicted mean vote; Adaptive comfort models; Buil

摘要：

Buildings account for about 40% of the global energy consumption and contribute over 30% of the CO2 emissions. A large proportion of this energy is used for thermal comfort in buildings. This paper reviews thermal comfort research work and discusses the implications for building energy efficiency. Predicted mean vote works well in air-conditioned spaces but not naturally ventilated buildings, whereas adaptive models tend to have a broader comfort temperature ranges. Higher indoor temperatures in summertime conditions would lead to less prevalence of cooling systems as well as less cooling requirements. Raising summer set point temperature has good energy saving potential, in that it can be applied to both new and existing buildings. Further research and development work conducive to a better understanding of thermal comfort and energy conservation in buildings have been identified and discussed. These include (i)social-economic and cultural studies in general and post-occupancy evaluation of the built environment and the corresponding energy use in particular, and (ii) consideration of future climate scenarios in the analysis of co- and tri-generation schemes for HVAC applications, fuel mix and the associated energy planning/distribution systems in response to the expected changes in heating and cooling requirements due to climate change.

备注：

杨柳

合写作者：

闫海燕,JosephC.Lam

第一作者：

杨柳

论文类型：

期刊论文

卷号：

卷：115

期号：

期：

页面范围：

页：164-173

是否译文：

否

发表时间：

2014-02-01