Facundo Bre

Dr. Facundo Bre

Luxembourg Institute of Science and Technology, Belvaux, Luxembourg
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Energy and Buildings
Verified
Journal Article
Closed access
Facundo BreFacundo Bre
Facundo Bre
JGJuan Marcelo Gimenez
Juan Marcelo Gimenez
VFVictor Fachinotti
Victor Fachinotti


1 June 2020 in Energy and Buildings
Verified
Journal Article
Closed access
NRNadia D. Roman
Nadia D. Roman
Facundo BreFacundo Bre
Facundo Bre
VFVictor D. Fachinotti
Victor D. Fachinotti
RLRoberto Lamberts
Roberto Lamberts

1 December 2016 in Energy and Buildings
Verified
Journal Article
Closed access
Facundo BreFacundo Bre
Facundo Bre
ASArthur Santos Silva
Arthur Santos Silva
EGEnedir Ghisi
Enedir Ghisi
VFVictor Fachinotti
Victor Fachinotti

1 January 2020 in Energy and Buildings
Verified
Journal Article
Closed access
Facundo BreFacundo Bre
Facundo Bre
NRNadia Roman
Nadia Roman
VFVíctor D. Fachinotti
Víctor D. Fachinotti

23 May 2024 in Scientific Data
Verified
Journal Article
Open access
PDF file
AMAnaïs Machard
Anaïs Machard
ASAgnese Salvati
Agnese Salvati
MTMamak P. Tootkaboni
Mamak P. Tootkaboni
AGAbhishek Gaur
Abhishek Gaur
Jiwei ZouJiwei Zou
Jiwei Zou
PHPeter Holzer
Peter Holzer
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.