GEOGRAPHIC MODELLING OF WIND AND SOLAR ENERGY POTENTIAL
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Data de Publicação: | 2020 |
Outros Autores: | |
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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Boletim de Ciências Geodésicas |
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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 |
_version_ |
1799771719459667968 |