Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves

Machard, Anaïs; Salvati, Agnese; P. Tootkaboni, Mamak; Gaur, Abhishek; Zou, Jiwei; Wang, Liangzhu Leon; Baba, Fuad; Ge, Hua; Bre, Facundo; Bozonnet, Emmanuel; Corrado, Vincenzo; Luo, Xuan; Levinson, Ronnen; Lee, Sang Hoon; Hong, Tianzhen; Salles Olinger, Marcello; Machado, Rayner Maurício e Silva; da Guarda, Emeli Lalesca Aparecida; Veiga, Rodolfo Kirch; Lamberts, Roberto; Afshari, Afshin; Ramon, Delphine; Ngoc Dung Ngo, Hoang; Sengupta, Abantika; Breesch, Hilde; Heijmans, Nicolas; Deltour, Jade; Kuborn, Xavier; Sayadi, Sana; Qian, Bin; Zhang, Chen; Rahif, Ramin; Attia, Shady; Stern, Philipp; Holzer, Peter

doi:10.1038/s41597-024-03319-8

Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves

Journal Article · Thu May 23 00:00:00 EDT 2024 · Scientific Data

DOI:https://doi.org/10.1038/s41597-024-03319-8· OSTI ID:2406225

Machard, Anaïs ^[1]; Salvati, Agnese ^[2]; P. Tootkaboni, Mamak ^[3]; Gaur, Abhishek ^[4]; Zou, Jiwei ^[5]; ^[5]; Baba, Fuad ^[6]; Ge, Hua ^[5]; ^[7]; ^[8]; ^[3]; Luo, Xuan ^[9]; Levinson, Ronnen ^[9]; Lee, Sang Hoon ^[9]; ^[9]; Salles Olinger, Marcello ^[10]; Machado, Rayner Maurício e Silva ^[10]; da Guarda, Emeli Lalesca Aparecida ^[10]; Veiga, Rodolfo Kirch ^[10]; ^[10] more »

Scientific and Technical Building Research Centre (CSTB), Grenoble (France); La Rochelle Univ. (France). Laboratory of Engineering Sciences for the Environment (LaSIE)
Polytechnic University of Catalonia, Barcelona (Spain); Brunel University London (United Kingdom)
Politecnico di Torino (Italy)
National Research Council of Canada, Ottawa, ON (Canada)
Concordia University, Montreal, QC (Canada)
Concordia University, Montreal, QC (Canada); British University in Dubai (United Arab Emirates)
Technical University of Darmstadt (Germany); Centro de Investigación de Métodos Computacionales, Santa Fe (Argentina)
La Rochelle Univ. (France). Laboratory of Engineering Sciences for the Environment (LaSIE)
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Federal University of Santa Catarina, Florianopolis (Brazil). Laboratory for Energy Efficiency in Buildings
Fraunhofer Institute for Building Physics, Valley (Germany)
Katholieke Univ. Leuven (Belgium)
Katholieke Univ. Leuven (Belgium); Hanoi University of Civil Engineering (Vietnam)
Buildwise, Brussels (Belgium)
University of Gävle (Sweden)
Aalborg University (Denmark); China Southwest Architecture Design and Research Institute Corp. Ltd., Chengdu (China)
Aalborg University (Denmark)
Univ. of Liege, (Belgium)
Institute of Building Research and Innovation (IBR&I), Vienna (Austria)

We present unprecedented datasets of current and future projected weather files for building simulations in 15 major cities distributed across 10 climate zones worldwide. The datasets include ambient air temperature, relative humidity, atmospheric pressure, direct and diffuse solar irradiance, and wind speed at hourly resolution, which are essential climate elements needed to undertake building simulations. The datasets contain typical and extreme weather years in the EnergyPlus weather file (EPW) format and multiyear projections in comma-separated value (CSV) format for three periods: historical (2001–2020), future mid-term (2041–2060), and future long-term (2081–2100). The datasets were generated from projections of one regional climate model, which were bias-corrected using multiyear observational data for each city. The methodology used makes the datasets among the first to incorporate complex changes in the future climate for the frequency, duration, and magnitude of extreme temperatures. These datasets, created within the IEA EBC Annex 80 “Resilient Cooling for Buildings”, are ready to be used for different types of building adaptation and resilience studies to climate change and heatwaves.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: Det Energiteknologisk Udviklingsog Demonstrations Program (EUDP); Fraunhofer Internal Programs; Marie Skłodowska-Curie Grant; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2406225

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 11; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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