Assessment of large-scale wind resource features in Algeria
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1016/j.energy.2019.116299 http://hdl.handle.net/10348/10922 |
Resumo: | This study presents an assessment of the wind potential over the whole Algerian territory, based for the first time on a reanalysis dataset. Thereby, 33 years (1981e2014) of 6-hourly wind components from ERA-Interim reanalysis are used for assessing the wind energy large-scale features over the largest country in Africa. The ERA-Interim data are validated against observational wind speeds from 42 sites across Algeria by using the two-sample Kolmogorov-Smirnov and the WilcoxoneManneWhitney tests, while the Generalized Extreme Value (GEV) theretical distribution is used to characterize wind speeds. Overall, the ERA-Interim dataset validation reveals good agreement with observations in the south and less near the coastline. The mean wind speed and prevailing wind direction are assessed on the annual, monthlyand hourly timescales. Meanwind speeds ranging between 2.3ms 1 in the North, and 5.3ms 1 in the South are found. Furthermore, the windiest periods are the warmer months and during daytime over almost all of the country. The gridded wind energy outputs for a representative wind turbine (850kW) are also assessed. These informations are of foremost relevance to decision-makers and to the energy production sector in Algeria, providing guidelines for new wind farms installations. |
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Assessment of large-scale wind resource features in AlgeriaWind resourdewind turbineThis study presents an assessment of the wind potential over the whole Algerian territory, based for the first time on a reanalysis dataset. Thereby, 33 years (1981e2014) of 6-hourly wind components from ERA-Interim reanalysis are used for assessing the wind energy large-scale features over the largest country in Africa. The ERA-Interim data are validated against observational wind speeds from 42 sites across Algeria by using the two-sample Kolmogorov-Smirnov and the WilcoxoneManneWhitney tests, while the Generalized Extreme Value (GEV) theretical distribution is used to characterize wind speeds. Overall, the ERA-Interim dataset validation reveals good agreement with observations in the south and less near the coastline. The mean wind speed and prevailing wind direction are assessed on the annual, monthlyand hourly timescales. Meanwind speeds ranging between 2.3ms 1 in the North, and 5.3ms 1 in the South are found. Furthermore, the windiest periods are the warmer months and during daytime over almost all of the country. The gridded wind energy outputs for a representative wind turbine (850kW) are also assessed. These informations are of foremost relevance to decision-makers and to the energy production sector in Algeria, providing guidelines for new wind farms installations.2021-12-21T15:12:53Z2019-01-01T00:00:00Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1016/j.energy.2019.116299http://hdl.handle.net/10348/10922eng0360-5442Boudia, Sidi MohammedSantos, J. A.info: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:RCAAP2024-02-02T12:27:12Zoai:repositorio.utad.pt:10348/10922Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:00:03.387766Repositório 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 |
Assessment of large-scale wind resource features in Algeria |
title |
Assessment of large-scale wind resource features in Algeria |
spellingShingle |
Assessment of large-scale wind resource features in Algeria Boudia, Sidi Mohammed Wind resourde wind turbine |
title_short |
Assessment of large-scale wind resource features in Algeria |
title_full |
Assessment of large-scale wind resource features in Algeria |
title_fullStr |
Assessment of large-scale wind resource features in Algeria |
title_full_unstemmed |
Assessment of large-scale wind resource features in Algeria |
title_sort |
Assessment of large-scale wind resource features in Algeria |
author |
Boudia, Sidi Mohammed |
author_facet |
Boudia, Sidi Mohammed Santos, J. A. |
author_role |
author |
author2 |
Santos, J. A. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Boudia, Sidi Mohammed Santos, J. A. |
dc.subject.por.fl_str_mv |
Wind resourde wind turbine |
topic |
Wind resourde wind turbine |
description |
This study presents an assessment of the wind potential over the whole Algerian territory, based for the first time on a reanalysis dataset. Thereby, 33 years (1981e2014) of 6-hourly wind components from ERA-Interim reanalysis are used for assessing the wind energy large-scale features over the largest country in Africa. The ERA-Interim data are validated against observational wind speeds from 42 sites across Algeria by using the two-sample Kolmogorov-Smirnov and the WilcoxoneManneWhitney tests, while the Generalized Extreme Value (GEV) theretical distribution is used to characterize wind speeds. Overall, the ERA-Interim dataset validation reveals good agreement with observations in the south and less near the coastline. The mean wind speed and prevailing wind direction are assessed on the annual, monthlyand hourly timescales. Meanwind speeds ranging between 2.3ms 1 in the North, and 5.3ms 1 in the South are found. Furthermore, the windiest periods are the warmer months and during daytime over almost all of the country. The gridded wind energy outputs for a representative wind turbine (850kW) are also assessed. These informations are of foremost relevance to decision-makers and to the energy production sector in Algeria, providing guidelines for new wind farms installations. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01T00:00:00Z 2019 2021-12-21T15:12:53Z |
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 |
https://doi.org/10.1016/j.energy.2019.116299 http://hdl.handle.net/10348/10922 |
url |
https://doi.org/10.1016/j.energy.2019.116299 http://hdl.handle.net/10348/10922 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0360-5442 |
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.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 |
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1799137083742224384 |