GEOGRAPHIC MODELLING OF WIND AND SOLAR ENERGY POTENTIAL

Detalhes bibliográficos
Autor(a) principal: Reginato, Vivian da Silva Celestino
Data de Publicação: 2020
Outros Autores: Julião, Rui Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/71712
Resumo: Reducing ‘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.
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spelling GEOGRAPHIC MODELLING OF WIND AND SOLAR ENERGY POTENTIALGeociências, Ciências da TerraRenewable or 'soft' energy; Solar Energy; Wind Energy; Geographic Information System (GIS); Geographic ModellingReducing ‘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.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)Centro Interdisciplinar de Ciências Sociais - Faculdade de Ciências Sociais e Humanas - Universidade Nova de LisboaDepartamento de Engenharia Civil – Centro Tenológico - Universidade FReginato, Vivian da Silva CelestinoJulião, Rui Pedro2020-02-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/71712Boletim de Ciências Geodésicas; Vol 25, No 3 (2019)Bulletin of Geodetic Sciences; Vol 25, No 3 (2019)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/71712/40355Copyright (c) 2020 Vivian da Silva Celestino Reginato, Rui Pedro Juliãohttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2020-02-13T16:19:56Zoai:revistas.ufpr.br:article/71712Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2020-02-13T16:19:56Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
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
Geociências, Ciências da Terra
Renewable or 'soft' energy; Solar Energy; Wind Energy; Geographic Information System (GIS); Geographic Modelling
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
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ)
Centro Interdisciplinar de Ciências Sociais - Faculdade de Ciências Sociais e Humanas - Universidade Nova de Lisboa
Departamento de Engenharia Civil – Centro Tenológico - Universidade F
dc.contributor.author.fl_str_mv Reginato, Vivian da Silva Celestino
Julião, Rui Pedro
dc.subject.none.fl_str_mv

dc.subject.por.fl_str_mv Geociências, Ciências da Terra
Renewable or 'soft' energy; Solar Energy; Wind Energy; Geographic Information System (GIS); Geographic Modelling
topic Geociências, Ciências da Terra
Renewable or 'soft' energy; Solar Energy; Wind Energy; Geographic Information System (GIS); Geographic Modelling
description Reducing ‘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.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-13
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/71712
url https://revistas.ufpr.br/bcg/article/view/71712
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/71712/40355
dc.rights.driver.fl_str_mv Copyright (c) 2020 Vivian da Silva Celestino Reginato, Rui Pedro Julião
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Vivian da Silva Celestino Reginato, Rui Pedro Julião
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 25, No 3 (2019)
Bulletin of Geodetic Sciences; Vol 25, No 3 (2019)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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