globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.scs.2019.101688
WOS记录号: WOS:000484255800063
论文题名:
Hourly weather data projection due to climate change for impact assessment on building and infrastructure
作者: Jiang, Aiyin1; Liu, Xudong2; Czarnecki, Emily2; Zhang, Chengyi3
通讯作者: Jiang, Aiyin
刊名: SUSTAINABLE CITIES AND SOCIETY
ISSN: 2210-6707
EISSN: 2210-6715
出版年: 2019
卷: 50
语种: 英语
英文关键词: Climate change ; Building energy simulation ; Weather data files ; Green-house gas emission scenario
WOS关键词: COOLING ENERGY DEMAND ; CONSUMPTION ; PERFORMANCE ; SIMULATION
WOS学科分类: Construction & Building Technology ; Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向: Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
英文摘要:

The global climate change research has been conducted for a few years in various professional communities. In the building industry, researchers usually investigate the future building energy demands due to the climate change by simulation software. The input files to the simulation software includes projected weather data and building models. Although there exist a few mathematical methods to project the future weather, the morphing method is the most well-known among them. In the meantime, the simulation software and weather data are in a variety of formats depending on country of origin and/or simulation package. In order to provide both the research and the professional communities the possibility to undertake climate change impact assessments on buildings, coastal engineering and construction, land use and other related areas, this study develops the web-based application Weather Morph: Climate Change Weather File Generator accessible to generate the future weather data for more than 2100 locations throughout the world for all four IPCC (Intergovernmental Panel of Climate Change) emission scenarios in the three future time slices of the 2020s, 2050s and 2080s. The output of the application is projected future weather datasets in formats TMY2 and EPW for general use.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/147099
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ North Florida, Dept Construct Management, 1 UNF Dr, Jacksonville, FL 32224 USA
2.Univ North Florida, Sch Comp, 1 UNF Dr, Jacksonville, FL 32224 USA
3.Eastern Kentucky Univ, Appl Engn & Technol, 521 Lancaster Ave, Richmond, KY 40475 USA

Recommended Citation:
Jiang, Aiyin,Liu, Xudong,Czarnecki, Emily,et al. Hourly weather data projection due to climate change for impact assessment on building and infrastructure[J]. SUSTAINABLE CITIES AND SOCIETY,2019-01-01,50
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