Future weather generator for building performance research: An open-source morphing tool and an application

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Eugénio
Data de Publicação: 2023
Outros Autores: Fernandes, Marco S., Carvalho, David
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/105477
https://doi.org/10.1016/j.buildenv.2023.110104
Resumo: Mathematical morphing of historical weather data to match the projected climate change scenario is a commonly used method to generate future weather files for building energy simulation. It is known for preserving the local weather characteristics, which is particularly important when designing or analyzing high-performance buildings. Researchers may use one of the available morphing tools. Unfortunately, current tools use future climate data from outdated climate models with lesser accuracy, coarser spatial resolution, and fewer climate scenarios than recent models. In addition, these tools are closed, preventing others from adding corrections, updating, and developing them further. This paper presents an open-source, cross-platform, and state-of-the-art morphing tool that generates future hourly weather data for the whole building performance simulation. The novel tool is applied to a real-case office building in Coimbra, Portugal. In the SSP5-8.5 scenario, simulations show thermal energy needs and electricity use will reduce by 60% in 2050 and 77% in 2080 for heating and will increase by 67% in 2050 and 121% in 2080 for cooling. As a result, the building’s global electricity consumption will increase by 24% in 2050 and by 53% in 2080. The study is extended to other locations in Europe, concluding that the total HVAC energy needs will remain constant or even decrease in heating-dominated climates, mainly due to the significant drop in the heating demand in the future.
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spelling Future weather generator for building performance research: An open-source morphing tool and an applicationFuture weatherWeather morphingClimate changeBuildingEnergy performanceMathematical morphing of historical weather data to match the projected climate change scenario is a commonly used method to generate future weather files for building energy simulation. It is known for preserving the local weather characteristics, which is particularly important when designing or analyzing high-performance buildings. Researchers may use one of the available morphing tools. Unfortunately, current tools use future climate data from outdated climate models with lesser accuracy, coarser spatial resolution, and fewer climate scenarios than recent models. In addition, these tools are closed, preventing others from adding corrections, updating, and developing them further. This paper presents an open-source, cross-platform, and state-of-the-art morphing tool that generates future hourly weather data for the whole building performance simulation. The novel tool is applied to a real-case office building in Coimbra, Portugal. In the SSP5-8.5 scenario, simulations show thermal energy needs and electricity use will reduce by 60% in 2050 and 77% in 2080 for heating and will increase by 67% in 2050 and 121% in 2080 for cooling. As a result, the building’s global electricity consumption will increase by 24% in 2050 and by 53% in 2080. The study is extended to other locations in Europe, concluding that the total HVAC energy needs will remain constant or even decrease in heating-dominated climates, mainly due to the significant drop in the heating demand in the future.8617-2E18-19EE | EUGÉNIO MIGUEL DE SOUSA RODRIGUESinfo:eu-repo/semantics/draftElsevier2023-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/105477http://hdl.handle.net/10316/105477https://doi.org/10.1016/j.buildenv.2023.110104eng0360-13231873-684XP-00X-WA3cv-prod-3144107Rodrigues, EugénioFernandes, Marco S.Carvalho, Davidinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-01T18:05:15Zoai:estudogeral.uc.pt:10316/105477Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:21:58.775Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Future weather generator for building performance research: An open-source morphing tool and an application
title Future weather generator for building performance research: An open-source morphing tool and an application
spellingShingle Future weather generator for building performance research: An open-source morphing tool and an application
Rodrigues, Eugénio
Future weather
Weather morphing
Climate change
Building
Energy performance
title_short Future weather generator for building performance research: An open-source morphing tool and an application
title_full Future weather generator for building performance research: An open-source morphing tool and an application
title_fullStr Future weather generator for building performance research: An open-source morphing tool and an application
title_full_unstemmed Future weather generator for building performance research: An open-source morphing tool and an application
title_sort Future weather generator for building performance research: An open-source morphing tool and an application
author Rodrigues, Eugénio
author_facet Rodrigues, Eugénio
Fernandes, Marco S.
Carvalho, David
author_role author
author2 Fernandes, Marco S.
Carvalho, David
author2_role author
author
dc.contributor.author.fl_str_mv Rodrigues, Eugénio
Fernandes, Marco S.
Carvalho, David
dc.subject.por.fl_str_mv Future weather
Weather morphing
Climate change
Building
Energy performance
topic Future weather
Weather morphing
Climate change
Building
Energy performance
description Mathematical morphing of historical weather data to match the projected climate change scenario is a commonly used method to generate future weather files for building energy simulation. It is known for preserving the local weather characteristics, which is particularly important when designing or analyzing high-performance buildings. Researchers may use one of the available morphing tools. Unfortunately, current tools use future climate data from outdated climate models with lesser accuracy, coarser spatial resolution, and fewer climate scenarios than recent models. In addition, these tools are closed, preventing others from adding corrections, updating, and developing them further. This paper presents an open-source, cross-platform, and state-of-the-art morphing tool that generates future hourly weather data for the whole building performance simulation. The novel tool is applied to a real-case office building in Coimbra, Portugal. In the SSP5-8.5 scenario, simulations show thermal energy needs and electricity use will reduce by 60% in 2050 and 77% in 2080 for heating and will increase by 67% in 2050 and 121% in 2080 for cooling. As a result, the building’s global electricity consumption will increase by 24% in 2050 and by 53% in 2080. The study is extended to other locations in Europe, concluding that the total HVAC energy needs will remain constant or even decrease in heating-dominated climates, mainly due to the significant drop in the heating demand in the future.
publishDate 2023
dc.date.none.fl_str_mv 2023-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/105477
http://hdl.handle.net/10316/105477
https://doi.org/10.1016/j.buildenv.2023.110104
url http://hdl.handle.net/10316/105477
https://doi.org/10.1016/j.buildenv.2023.110104
dc.language.iso.fl_str_mv eng
language eng
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1873-684X
P-00X-WA3
cv-prod-3144107
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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