Validating 'GIS-UBEM' - a residential open data-driven urban building energy model

The study of energy consumption in buildings, particularly residential ones, brings with it significant socio-economic and environmental implications, as it accounts for approximately 40% of CO2 emissions, 18% in the case of residential buildings, in Europe. On a number of levels, energy consumption...

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Detalhes bibliográficos
Autores: García López, Javier, Sendra, Juan J., Domínguez Amarillo, Samuel
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/156913
Acesso em linha:https://hdl.handle.net/11441/156913
https://doi.org/10.3390/su16062599
Access Level:acceso abierto
Palavra-chave:Bottom-up model
District scale
Simulation model
Urban energy assessment
Residential energy use
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spelling Validating 'GIS-UBEM' - a residential open data-driven urban building energy modelGarcía López, JavierSendra, Juan J.Domínguez Amarillo, SamuelBottom-up modelDistrict scaleSimulation modelUrban energy assessmentResidential energy useThe study of energy consumption in buildings, particularly residential ones, brings with it significant socio-economic and environmental implications, as it accounts for approximately 40% of CO2 emissions, 18% in the case of residential buildings, in Europe. On a number of levels, energy consumption serves as a key parameter in urban sustainability indicators and energy plans. Access to data on energy consumption is crucial for energy planning, management, knowledge generation, and awareness. Urban Building Energy Models (UBEMs), which are emerging tools for simulating energy consumption at neighborhood scale, allow for more efficient intervention and energy rehabilitation planning. However, UBEM validation requires reliable reference data, which are often challenging to obtain at urban scale due to privacy concerns and data accessibility issues. Recent advances, such as automation and open data utilization, are proving promising in addressing these challenges. This study aims to provide a standardized UBEM validation process by presenting a case study that was carried out utilizing open data to develop bottom-up engineering models of residential energy demand at urban scale, with a resolution level of individual buildings, and a subsequent adjustment and validation using reference tools. This study confirms that the validated GIS-UBEM model heating and cooling demands and consumption fall within the confidence bands of ±15% and ±12.5%, i.e., the confidence bands required for the approval of official alternative simulation methods for energy certification. This paves the way for its application in urban-scale studies and practices with a well-established margin of confidence, covering a wide range of building typologies, construction models, and climates comparable to those considered in the validation process. The primary application of this model is to determine the starting point and subsequent evaluation of improvement scenarios at a district scale, examining issues such as massive energy rehabilitation interventions, energy planning, demand analysis, vulnerability studies, etc.MDPIConstrucciones Arquitectónicas ITEP130: Arquitectura, Patrimonio y Sostenibilidad: Acústica, Iluminación, Óptica y Energía2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/156913https://doi.org/10.3390/su16062599reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSustainability, 16(6) (2599).USE-TEP 130https://www.mdpi.com/2071-1050/16/6/2599info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1569132026-06-17T12:51:07Z
dc.title.none.fl_str_mv Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
title Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
spellingShingle Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
García López, Javier
Bottom-up model
District scale
Simulation model
Urban energy assessment
Residential energy use
title_short Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
title_full Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
title_fullStr Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
title_full_unstemmed Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
title_sort Validating 'GIS-UBEM' - a residential open data-driven urban building energy model
dc.creator.none.fl_str_mv García López, Javier
Sendra, Juan J.
Domínguez Amarillo, Samuel
author García López, Javier
author_facet García López, Javier
Sendra, Juan J.
Domínguez Amarillo, Samuel
author_role author
author2 Sendra, Juan J.
Domínguez Amarillo, Samuel
author2_role author
author
dc.contributor.none.fl_str_mv Construcciones Arquitectónicas I
TEP130: Arquitectura, Patrimonio y Sostenibilidad: Acústica, Iluminación, Óptica y Energía
dc.subject.none.fl_str_mv Bottom-up model
District scale
Simulation model
Urban energy assessment
Residential energy use
topic Bottom-up model
District scale
Simulation model
Urban energy assessment
Residential energy use
description The study of energy consumption in buildings, particularly residential ones, brings with it significant socio-economic and environmental implications, as it accounts for approximately 40% of CO2 emissions, 18% in the case of residential buildings, in Europe. On a number of levels, energy consumption serves as a key parameter in urban sustainability indicators and energy plans. Access to data on energy consumption is crucial for energy planning, management, knowledge generation, and awareness. Urban Building Energy Models (UBEMs), which are emerging tools for simulating energy consumption at neighborhood scale, allow for more efficient intervention and energy rehabilitation planning. However, UBEM validation requires reliable reference data, which are often challenging to obtain at urban scale due to privacy concerns and data accessibility issues. Recent advances, such as automation and open data utilization, are proving promising in addressing these challenges. This study aims to provide a standardized UBEM validation process by presenting a case study that was carried out utilizing open data to develop bottom-up engineering models of residential energy demand at urban scale, with a resolution level of individual buildings, and a subsequent adjustment and validation using reference tools. This study confirms that the validated GIS-UBEM model heating and cooling demands and consumption fall within the confidence bands of ±15% and ±12.5%, i.e., the confidence bands required for the approval of official alternative simulation methods for energy certification. This paves the way for its application in urban-scale studies and practices with a well-established margin of confidence, covering a wide range of building typologies, construction models, and climates comparable to those considered in the validation process. The primary application of this model is to determine the starting point and subsequent evaluation of improvement scenarios at a district scale, examining issues such as massive energy rehabilitation interventions, energy planning, demand analysis, vulnerability studies, etc.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/156913
https://doi.org/10.3390/su16062599
url https://hdl.handle.net/11441/156913
https://doi.org/10.3390/su16062599
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sustainability, 16(6) (2599).
USE-TEP 130
https://www.mdpi.com/2071-1050/16/6/2599
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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