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Method for assessing volumetric solar potential within urban street canyons

2025Artigo científico Acesso aberto
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dc.contributor.authorSantos, Teresa
dc.contributor.authorMatias, Márcia
dc.contributor.authorRocha, Jorge
dc.contributor.authorLobato, Killian
dc.date.accessioned2025-04-29T09:42:56Z
dc.date.available2025-04-29T09:42:56Z
dc.date.issued2025
dc.description.abstractWhile rooftops have been extensively studied for their photovoltaic (PV) potential, the volumetric space between buildings remains largely unexplored. This study introduces a replicable framework to quantify solar radiation within this unoccupied urban volume. The methodology leverages widely available city-scale datasets (e.g., LIDAR data, elevation contours, and building footprints) and accessible software to generate virtual surfaces at incremental heights between buildings. These surfaces serve as the basis for calculating solar insolation at 30-min intervals. The approach is demonstrated using neighbourhoods with differing urban morphologies to showcase its applicability across various contexts. This framework produces detailed insolation maps, revealing how volumetric solar radiation varies with urban form and time of year. The use of city-scale datasets makes this approach particularly suited for planning at the urban scale, enabling urban planners to identify optimal locations for PV installations, enhance urban thermal comfort, and improve street luminosity. The primary contribution of this study lies in the accessibility and generalizability of the methodology, which can be applied to support urban design decisions where solar insolation is a critical factor. By addressing the underexplored volumetric solar potential, this study provides actionable tools for advancing urban sustainability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, T., Matias, M., Rocha, J. & Lobato, K. (2025). Method for assessing volumetric solar potential within urban street canyons. Remote Sensing Applications: Society and Environment, 38, 101564. https://doi.org/10.1016/j.rsase.2025.101564pt_PT
dc.identifier.doi10.1016/j.rsase.2025.101564pt_PT
dc.identifier.eissn2352-9385
dc.identifier.urihttp://hdl.handle.net/10400.5/100353
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationDL 57/ 2016/CP1453/CT0004pt_PT
dc.relationCentre of Geographical Studies
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S235293852500117X?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVolumetric solar potentialpt_PT
dc.subjectUrban solar planningpt_PT
dc.subjectCity-scale solar analysispt_PT
dc.subjectGIS-Based solar analysispt_PT
dc.subjectUrban morphology and solar potentialpt_PT
dc.titleMethod for assessing volumetric solar potential within urban street canyonspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre of Geographical Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04647%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00295%2F2020/PT
oaire.citation.startPage101564pt_PT
oaire.citation.titleRemote Sensing Applications: Society and Environmentpt_PT
oaire.citation.volume38pt_PT
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNeves Matias
person.familyNameRocha
person.givenNameMárcia Alexandra
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-id2A19-53EA-EB66
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0003-3090-5559
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id56428061000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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