Computational statistical analysis of the wind and solar potential for electricity generation

Detalhes bibliográficos
Autor(a) principal: Silva, Ricardo Ezequiel
Data de Publicação: 2010
Outros Autores: Fagundes, Regiane Slongo, Ferruzzi, Yurri
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FURG (RI FURG)
Texto Completo: http://repositorio.furg.br/handle/1/7072
Resumo: This paper describes an application developed through scientific project initiation. The purpose is to provide information to assess the energy potential of renewable energy such as wind and solar radiation. The information submitted by the program is obtained from weather stations that collect data on temperature, wind speed and intensity of solar radiation. The data are processed using statistical techniques that allow summarizing a large volume of measurements. The result is information presented in tables, graphs and reports, which measure the energy output of these alternative sources in electricity generation.
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spelling Computational statistical analysis of the wind and solar potential for electricity generationRenewableEnergyElectricityThis paper describes an application developed through scientific project initiation. The purpose is to provide information to assess the energy potential of renewable energy such as wind and solar radiation. The information submitted by the program is obtained from weather stations that collect data on temperature, wind speed and intensity of solar radiation. The data are processed using statistical techniques that allow summarizing a large volume of measurements. The result is information presented in tables, graphs and reports, which measure the energy output of these alternative sources in electricity generation.EDGRAF2017-02-13T20:26:31Z2017-02-13T20:26:31Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, Ricardo Ezequiel; FAGUNDES, Regiane Slongo; FERRUZZIi, Yurri. Computational statistical analysis of the wind and solar potential for electricity generation. Vetor, v. 20, n. 2, p. 82-91, 2010. Disponível em: <https://www.seer.furg.br/vetor/article/view/2067>. Acesso em: 12 dez. 2016.2358-3452http://repositorio.furg.br/handle/1/7072engSilva, Ricardo EzequielFagundes, Regiane SlongoFerruzzi, Yurriinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2017-02-13T20:26:31Zoai:repositorio.furg.br:1/7072Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2017-02-13T20:26:31Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv Computational statistical analysis of the wind and solar potential for electricity generation
title Computational statistical analysis of the wind and solar potential for electricity generation
spellingShingle Computational statistical analysis of the wind and solar potential for electricity generation
Silva, Ricardo Ezequiel
Renewable
Energy
Electricity
title_short Computational statistical analysis of the wind and solar potential for electricity generation
title_full Computational statistical analysis of the wind and solar potential for electricity generation
title_fullStr Computational statistical analysis of the wind and solar potential for electricity generation
title_full_unstemmed Computational statistical analysis of the wind and solar potential for electricity generation
title_sort Computational statistical analysis of the wind and solar potential for electricity generation
author Silva, Ricardo Ezequiel
author_facet Silva, Ricardo Ezequiel
Fagundes, Regiane Slongo
Ferruzzi, Yurri
author_role author
author2 Fagundes, Regiane Slongo
Ferruzzi, Yurri
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Ricardo Ezequiel
Fagundes, Regiane Slongo
Ferruzzi, Yurri
dc.subject.por.fl_str_mv Renewable
Energy
Electricity
topic Renewable
Energy
Electricity
description This paper describes an application developed through scientific project initiation. The purpose is to provide information to assess the energy potential of renewable energy such as wind and solar radiation. The information submitted by the program is obtained from weather stations that collect data on temperature, wind speed and intensity of solar radiation. The data are processed using statistical techniques that allow summarizing a large volume of measurements. The result is information presented in tables, graphs and reports, which measure the energy output of these alternative sources in electricity generation.
publishDate 2010
dc.date.none.fl_str_mv 2010
2017-02-13T20:26:31Z
2017-02-13T20:26:31Z
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 SILVA, Ricardo Ezequiel; FAGUNDES, Regiane Slongo; FERRUZZIi, Yurri. Computational statistical analysis of the wind and solar potential for electricity generation. Vetor, v. 20, n. 2, p. 82-91, 2010. Disponível em: <https://www.seer.furg.br/vetor/article/view/2067>. Acesso em: 12 dez. 2016.
2358-3452
http://repositorio.furg.br/handle/1/7072
identifier_str_mv SILVA, Ricardo Ezequiel; FAGUNDES, Regiane Slongo; FERRUZZIi, Yurri. Computational statistical analysis of the wind and solar potential for electricity generation. Vetor, v. 20, n. 2, p. 82-91, 2010. Disponível em: <https://www.seer.furg.br/vetor/article/view/2067>. Acesso em: 12 dez. 2016.
2358-3452
url http://repositorio.furg.br/handle/1/7072
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDGRAF
publisher.none.fl_str_mv EDGRAF
dc.source.none.fl_str_mv reponame:Repositório Institucional da FURG (RI FURG)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Repositório Institucional da FURG (RI FURG)
collection Repositório Institucional da FURG (RI FURG)
repository.name.fl_str_mv Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv
_version_ 1813187267359932416

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