Geographic modelling of wind and solar energy potential

Detalhes bibliográficos
Autor(a) principal: Reginato, Vivian da Silva Celestino
Data de Publicação: 2019
Outros Autores: Julião, Rui Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/94696
Resumo: UID/SOC/04647/2013 UID/SOC/04647/2019
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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling Geographic modelling of wind and solar energy potentialGeographic Information System (GIS)Geographic ModellingRenewable or 'soft' energySolar EnergyWind EnergyEarth and Planetary Sciences(all)SDG 7 - Affordable and Clean EnergyUID/SOC/04647/2013 UID/SOC/04647/2019Reducing ‘Greenhouse Gas’ emissions, particularly of CO2, is a global commitment which has gained predominance with the emergence of sources that generate renewable energy as an alternative to traditional energy produced through fossil fuels. Renewable or ‘soft’ forms of energy are all those which use the elements of nature – for example, the wind and the sun-to generate energy without damaging the environment. ‘Geographic Modelling’ is an essential tool to better determine regions that have economically feasible energy potential, based on natural alternative sources. Therefore, the objective of this study was to identify energy potential based on wind and solar renewable sources. To achieve such goal, conceptual models of spatial analysis were designed and developed, in accordance with the norms established by the 'Object Modelling Technique' and by the operational models provided by 'ModelBuilder'. A test was applied in the south-central region of 'Continental Portugal'. The results showed average potential to generate wind energy and high potential to produce solar energy in the region.Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)Departamento de Geografia e Planeamento Regional (DGPR)RUNReginato, Vivian da Silva CelestinoJulião, Rui Pedro2020-03-20T23:34:43Z2019-01-012019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article25application/pdfhttp://hdl.handle.net/10362/94696eng1413-4853PURE: 16877273https://doi.org/10.1590/s1982-21702019000300019info: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:RCAAP2024-05-22T17:44:13Zoai:run.unl.pt:10362/94696Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:44:13Repositório 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 Geographic modelling of wind and solar energy potential
title Geographic modelling of wind and solar energy potential
spellingShingle Geographic modelling of wind and solar energy potential
Reginato, Vivian da Silva Celestino
Geographic Information System (GIS)
Geographic Modelling
Renewable or 'soft' energy
Solar Energy
Wind Energy
Earth and Planetary Sciences(all)
SDG 7 - Affordable and Clean Energy
title_short Geographic modelling of wind and solar energy potential
title_full Geographic modelling of wind and solar energy potential
title_fullStr Geographic modelling of wind and solar energy potential
title_full_unstemmed Geographic modelling of wind and solar energy potential
title_sort Geographic modelling of wind and solar energy potential
author Reginato, Vivian da Silva Celestino
author_facet Reginato, Vivian da Silva Celestino
Julião, Rui Pedro
author_role author
author2 Julião, Rui Pedro
author2_role author
dc.contributor.none.fl_str_mv Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)
Departamento de Geografia e Planeamento Regional (DGPR)
RUN
dc.contributor.author.fl_str_mv Reginato, Vivian da Silva Celestino
Julião, Rui Pedro
dc.subject.por.fl_str_mv Geographic Information System (GIS)
Geographic Modelling
Renewable or 'soft' energy
Solar Energy
Wind Energy
Earth and Planetary Sciences(all)
SDG 7 - Affordable and Clean Energy
topic Geographic Information System (GIS)
Geographic Modelling
Renewable or 'soft' energy
Solar Energy
Wind Energy
Earth and Planetary Sciences(all)
SDG 7 - Affordable and Clean Energy
description UID/SOC/04647/2013 UID/SOC/04647/2019
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2019-01-01T00:00:00Z
2020-03-20T23:34:43Z
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/10362/94696
url http://hdl.handle.net/10362/94696
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1413-4853
PURE: 16877273
https://doi.org/10.1590/s1982-21702019000300019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 25
application/pdf
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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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