globalchange  > 过去全球变化的重建
DOI: 10.1016/j.apenergy.2019.03.065
WOS记录号: WOS:000470045800122
论文题名:
A novel approach for selecting typical hot-year (THY) weather data
作者: Guo, Siyue1,2; Yan, Da1; Hong, Tianzhen3; Xiao, Chan4; Cui, Ying5
通讯作者: Yan, Da ; Hong, Tianzhen
刊名: APPLIED ENERGY
ISSN: 0306-2619
EISSN: 1872-9118
出版年: 2019
卷: 242, 页码:1634-1648
语种: 英语
英文关键词: Heat wave ; Actual weather data ; DeST ; Residential indoor thermal environment ; Multiyear simulation ; Typical hot year
WOS关键词: DIFFERENT CLIMATE ZONES ; 2003 HEAT-WAVE ; SUMMER YEARS ; ENERGY USE ; PROBABILISTIC DESIGN ; INDOOR TEMPERATURES ; ELECTRICITY DEMAND ; THERMAL COMFORT ; PERFORMANCE ; URBANIZATION
WOS学科分类: Energy & Fuels ; Engineering, Chemical
WOS研究方向: Energy & Fuels ; Engineering
英文摘要:

The global climate change has resulted in not only warmer climate conditions but also more frequent extreme weather events, such as heat waves. However, the impact of heat waves on the indoor environment has been investigated in a limited manner. In this research, the indoor thermal environment is analyzed using a building performance simulation tool for a typical residential building in multiple cities in China, over a time period of 60 years using actual measured weather data, in order to gain a better understanding of the effect of heat wave events. The simulation results were used to analyze the indoor environment during hot summers. A new kind of weather data referred to as the typical hot year was defined and selected based on the simulated indoor environment during heat waves. The typical hot-year weather data can be used to simulate the indoor environment during extreme heat events and for the evaluation of effective technologies and strategies to mitigate against the impact of heat waves on the energy demand of buildings and human health. The limitations of the current study and future work are also discussed.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/138363
Appears in Collections:过去全球变化的重建

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作者单位: 1.Tsinghua Univ, Sch Architecture, Beijing, Peoples R China
2.Tsinghua Univ, Inst Energy Environm & Econ, Beijing, Peoples R China
3.Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA
4.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
5.Beijing Inst Architectural Design, Beijing, Peoples R China

Recommended Citation:
Guo, Siyue,Yan, Da,Hong, Tianzhen,et al. A novel approach for selecting typical hot-year (THY) weather data[J]. APPLIED ENERGY,2019-01-01,242:1634-1648
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