Dataset after seven years simulating hybrid energy systems with Homer Legacy
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/217154 |
Resumo: | Homer Legacy software is a well-known software for simulation of small hybrid systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. The data correspond to twelve papers published in the last seven years. Two of them describe hydro PV hybrid systems with photovoltaic panels operating on the water surface of reservoirs. One of these twelve papers suggests the modeling of hydropower plants with reservoirs and the other the modeling of pumped hydro storage, and a third still uses these models in a place that could receive both the two types of hydroelectric power plant. The other simulated hybrid systems include wind turbines, diesel generators, batteries, among other components. This data article describes the files that integrate this dataset and the papers that have been published presenting the hybrid systems under study and discussing the results. The files that make up this dataset are available on Mendeley Data repository at https://doi.org/10.17632/ybxsttf2by.2. |
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Beluco, AlexandreRisso, AlfonsoDuring Filho, Frederico AdolfoSilva, Jones Souza daTeixeira, Luis EmersonVasco, GabrielVega, Fausto Alfredo CanalesRossini, Elton GimenezSouza, José deDaronco, Giuliano Crauss2021-01-08T04:07:06Z20201683-1470http://hdl.handle.net/10183/217154001115060Homer Legacy software is a well-known software for simulation of small hybrid systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. The data correspond to twelve papers published in the last seven years. Two of them describe hydro PV hybrid systems with photovoltaic panels operating on the water surface of reservoirs. One of these twelve papers suggests the modeling of hydropower plants with reservoirs and the other the modeling of pumped hydro storage, and a third still uses these models in a place that could receive both the two types of hydroelectric power plant. The other simulated hybrid systems include wind turbines, diesel generators, batteries, among other components. This data article describes the files that integrate this dataset and the papers that have been published presenting the hybrid systems under study and discussing the results. The files that make up this dataset are available on Mendeley Data repository at https://doi.org/10.17632/ybxsttf2by.2.application/pdfengData Science Journal. London: Ubiquity Press. Vol. 19, n. 1 (2020), 14, 8 p.Sistemas híbridosComplementaridade energéticaGeração de energiaHybrid energy systemsFeasibility studiesHomer Legacy softwareHydro PV hybrid systemsEnergetic complementarityHydro power plants with reservoirPumped hydro storagePV modules on floating structuresDataset after seven years simulating hybrid energy systems with Homer LegacyEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001115060.pdf.txt001115060.pdf.txtExtracted Texttext/plain28599http://www.lume.ufrgs.br/bitstream/10183/217154/2/001115060.pdf.txt6f0a11704e63a11292c184d3c980359bMD52ORIGINAL001115060.pdfTexto completo (inglês)application/pdf1589102http://www.lume.ufrgs.br/bitstream/10183/217154/1/001115060.pdf5bf9b2845c2747400e7005e86a551f09MD5110183/2171542021-03-09 04:29:54.05593oai:www.lume.ufrgs.br:10183/217154Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-03-09T07:29:54Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
title |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
spellingShingle |
Dataset after seven years simulating hybrid energy systems with Homer Legacy Beluco, Alexandre Sistemas híbridos Complementaridade energética Geração de energia Hybrid energy systems Feasibility studies Homer Legacy software Hydro PV hybrid systems Energetic complementarity Hydro power plants with reservoir Pumped hydro storage PV modules on floating structures |
title_short |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
title_full |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
title_fullStr |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
title_full_unstemmed |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
title_sort |
Dataset after seven years simulating hybrid energy systems with Homer Legacy |
author |
Beluco, Alexandre |
author_facet |
Beluco, Alexandre Risso, Alfonso During Filho, Frederico Adolfo Silva, Jones Souza da Teixeira, Luis Emerson Vasco, Gabriel Vega, Fausto Alfredo Canales Rossini, Elton Gimenez Souza, José de Daronco, Giuliano Crauss |
author_role |
author |
author2 |
Risso, Alfonso During Filho, Frederico Adolfo Silva, Jones Souza da Teixeira, Luis Emerson Vasco, Gabriel Vega, Fausto Alfredo Canales Rossini, Elton Gimenez Souza, José de Daronco, Giuliano Crauss |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Beluco, Alexandre Risso, Alfonso During Filho, Frederico Adolfo Silva, Jones Souza da Teixeira, Luis Emerson Vasco, Gabriel Vega, Fausto Alfredo Canales Rossini, Elton Gimenez Souza, José de Daronco, Giuliano Crauss |
dc.subject.por.fl_str_mv |
Sistemas híbridos Complementaridade energética Geração de energia |
topic |
Sistemas híbridos Complementaridade energética Geração de energia Hybrid energy systems Feasibility studies Homer Legacy software Hydro PV hybrid systems Energetic complementarity Hydro power plants with reservoir Pumped hydro storage PV modules on floating structures |
dc.subject.eng.fl_str_mv |
Hybrid energy systems Feasibility studies Homer Legacy software Hydro PV hybrid systems Energetic complementarity Hydro power plants with reservoir Pumped hydro storage PV modules on floating structures |
description |
Homer Legacy software is a well-known software for simulation of small hybrid systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. The data correspond to twelve papers published in the last seven years. Two of them describe hydro PV hybrid systems with photovoltaic panels operating on the water surface of reservoirs. One of these twelve papers suggests the modeling of hydropower plants with reservoirs and the other the modeling of pumped hydro storage, and a third still uses these models in a place that could receive both the two types of hydroelectric power plant. The other simulated hybrid systems include wind turbines, diesel generators, batteries, among other components. This data article describes the files that integrate this dataset and the papers that have been published presenting the hybrid systems under study and discussing the results. The files that make up this dataset are available on Mendeley Data repository at https://doi.org/10.17632/ybxsttf2by.2. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2021-01-08T04:07:06Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
format |
article |
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publishedVersion |
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http://hdl.handle.net/10183/217154 |
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1683-1470 |
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001115060 |
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1683-1470 001115060 |
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http://hdl.handle.net/10183/217154 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Data Science Journal. London: Ubiquity Press. Vol. 19, n. 1 (2020), 14, 8 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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