气候变化领域集成服务门户(CCPortal): Weather data analysis and building performance assessment during extreme climate events: A Canadian AMY weather file data set

CCPortal

DOI	10.1016/j.dib.2024.110036
	Weather data analysis and building performance assessment during extreme climate events: A Canadian AMY weather file data set
	Rostami, Milad; Green-Mignacca, Santinah; Bucking, Scott
发表日期	2024
ISSN	2352-3409
起始页码	52
卷号	52
英文摘要	The increasing intensity and frequency of extreme weather events resulting from climate change have led to grid outages and other negative consequences. To ensure the resilience of buildings which serve as primary shelters for occupants, resilient strategies are being developed to improve their ability to withstand these extreme events (e.g., building upgrades and renewable energy generators and storage). However, a crucial step towards creating a resilient built environment is accurately estimating building performance during such conditions using historical extreme climate change-induced weather events. To conduct Building Performance Simulation (BPS) in extreme conditions, such as weather events induced by climate change, it is essential to utilize Actual Meteorological Year (AMY) weather files instead of Typical Meteorological Year (TMY) files. AMY files capture the precise climatic conditions during extreme weather events, enabling accurate simulation of such scenarios. These weather files provide valuable data that can be used to assess the vulnerabilities and resilience of buildings to extreme weather events. By analyzing past events and their impacts using BPS tools, we can gain insights into the specific weaknesses and areas that require improvement. This approach applies to both existing buildings needing climate change-resilient retrofits and new building designs that must be compatible with future climatic conditions. Moreover, the intensification and frequency increase of these extreme weather events makes developing adaptation and resilient-building measures imperative. This involves understanding the potential losses that households may experience due to the intensification of extreme events and developing farsighted coping strategies and climate-proof resilient-building initiatives. However, addressing the knowledge gap caused by the absence of an AMY weather file dataset of extreme events is essential. This will allow for accurate BPS during past extreme climate change-induced weather events. To fill this gap, this article introduces a comprehensive .epw format weather file dataset focusing on historical extreme weather events in Canada. This collection encompasses a diverse array of past extreme climate change occurrences in various locations, with potential for future expansion to include additional locations and countries. This dataset enables energy simulations for different types of buildings and considers a diverse range of historical weather conditions, allowing for better estimation of thermal performance.
英文关键词	Climate change; Grid outages; Building performance simulation; AMY weather files
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001166684600001
来源期刊	DATA IN BRIEF
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/307043
作者单位	Carleton University
推荐引用方式 GB/T 7714	Rostami, Milad,Green-Mignacca, Santinah,Bucking, Scott. Weather data analysis and building performance assessment during extreme climate events: A Canadian AMY weather file data set[J],2024,52.
APA	Rostami, Milad,Green-Mignacca, Santinah,&Bucking, Scott.(2024).Weather data analysis and building performance assessment during extreme climate events: A Canadian AMY weather file data set.DATA IN BRIEF,52.
MLA	Rostami, Milad,et al."Weather data analysis and building performance assessment during extreme climate events: A Canadian AMY weather file data set".DATA IN BRIEF 52(2024).