Dataset after seven years simulating hybrid energy systems with Homer Legacy

Detalhes bibliográficos
Autor(a) principal: Beluco, Alexandre
Data de Publicação: 2020
Outros Autores: 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
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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spelling 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
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dc.language.iso.fl_str_mv eng
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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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