Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ACCESS.2021.3099426 http://hdl.handle.net/11449/233400 |
Resumo: | The growing trend of electric vehicles (EVs) and building integrated photovoltaics (BIPVs) is a promising means to reduce related climate change issues. EV loads can be managed via an aggregator to maximize the usage of green energy produced by photovoltaic units (PV) through smart charging strategies that exploit controllable EV demand connected to BIPV. Previous works have focused on the EV charging coordination in a smart BIPV, although without an optimization that encourages EV charging with the energy produced by the PV units. This paper proposes an aggregation strategy that maximizes a green energy index (GEI) for the smart charging coordination of EVs, which takes advantage of periods with high PV availability to charge the EV batteries; moreover, a post-processing stage for the GEI provides EV owners with information about the percentage of charged energy, period by period, that comes from PV generation. The results for a case study with 510 EVs integrated with 17 smart BIPVs show that the strategy effectively optimizes the usage of the energy produced by the PV units to charge the EVs, contributes to reduce non-renewable energy consumption of the building sector, and satisfies the EV owners' energy requirements for transportation. |
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Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage IndexAggregatorbuilding integrated photovoltaicelectric vehiclesgreen energy indexlocal energy marketsmart chargingThe growing trend of electric vehicles (EVs) and building integrated photovoltaics (BIPVs) is a promising means to reduce related climate change issues. EV loads can be managed via an aggregator to maximize the usage of green energy produced by photovoltaic units (PV) through smart charging strategies that exploit controllable EV demand connected to BIPV. Previous works have focused on the EV charging coordination in a smart BIPV, although without an optimization that encourages EV charging with the energy produced by the PV units. This paper proposes an aggregation strategy that maximizes a green energy index (GEI) for the smart charging coordination of EVs, which takes advantage of periods with high PV availability to charge the EV batteries; moreover, a post-processing stage for the GEI provides EV owners with information about the percentage of charged energy, period by period, that comes from PV generation. The results for a case study with 510 EVs integrated with 17 smart BIPVs show that the strategy effectively optimizes the usage of the energy produced by the PV units to charge the EVs, contributes to reduce non-renewable energy consumption of the building sector, and satisfies the EV owners' energy requirements for transportation.Electrical Engineering Department São Paulo State University (UNESP)School of Energy Engineering São Paulo State UniversityRes. Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Polytechnic Institute of Porto (IPP)Electrical Engineering Department São Paulo State University (UNESP)School of Energy Engineering São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Polytechnic Institute of Porto (IPP)Guzman, Cindy P. [UNESP]Arias, Nataly Banol [UNESP]Franco, John Fredy [UNESP]Soares, JoaoVale, Zita [UNESP]Romero, Ruben [UNESP]2022-05-01T08:15:17Z2022-05-01T08:15:17Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article105357-105368http://dx.doi.org/10.1109/ACCESS.2021.3099426IEEE Access, v. 9, p. 105357-105368.2169-3536http://hdl.handle.net/11449/23340010.1109/ACCESS.2021.30994262-s2.0-85112603630Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Accessinfo:eu-repo/semantics/openAccess2024-07-04T19:06:35Zoai:repositorio.unesp.br:11449/233400Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:26:16.355085Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
title |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
spellingShingle |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index Guzman, Cindy P. [UNESP] Aggregator building integrated photovoltaic electric vehicles green energy index local energy market smart charging |
title_short |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
title_full |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
title_fullStr |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
title_full_unstemmed |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
title_sort |
Boosting the Usage of Green Energy for EV Charging in Smart Buildings Managed by an Aggregator through a Novel Renewable Usage Index |
author |
Guzman, Cindy P. [UNESP] |
author_facet |
Guzman, Cindy P. [UNESP] Arias, Nataly Banol [UNESP] Franco, John Fredy [UNESP] Soares, Joao Vale, Zita [UNESP] Romero, Ruben [UNESP] |
author_role |
author |
author2 |
Arias, Nataly Banol [UNESP] Franco, John Fredy [UNESP] Soares, Joao Vale, Zita [UNESP] Romero, Ruben [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Polytechnic Institute of Porto (IPP) |
dc.contributor.author.fl_str_mv |
Guzman, Cindy P. [UNESP] Arias, Nataly Banol [UNESP] Franco, John Fredy [UNESP] Soares, Joao Vale, Zita [UNESP] Romero, Ruben [UNESP] |
dc.subject.por.fl_str_mv |
Aggregator building integrated photovoltaic electric vehicles green energy index local energy market smart charging |
topic |
Aggregator building integrated photovoltaic electric vehicles green energy index local energy market smart charging |
description |
The growing trend of electric vehicles (EVs) and building integrated photovoltaics (BIPVs) is a promising means to reduce related climate change issues. EV loads can be managed via an aggregator to maximize the usage of green energy produced by photovoltaic units (PV) through smart charging strategies that exploit controllable EV demand connected to BIPV. Previous works have focused on the EV charging coordination in a smart BIPV, although without an optimization that encourages EV charging with the energy produced by the PV units. This paper proposes an aggregation strategy that maximizes a green energy index (GEI) for the smart charging coordination of EVs, which takes advantage of periods with high PV availability to charge the EV batteries; moreover, a post-processing stage for the GEI provides EV owners with information about the percentage of charged energy, period by period, that comes from PV generation. The results for a case study with 510 EVs integrated with 17 smart BIPVs show that the strategy effectively optimizes the usage of the energy produced by the PV units to charge the EVs, contributes to reduce non-renewable energy consumption of the building sector, and satisfies the EV owners' energy requirements for transportation. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-05-01T08:15:17Z 2022-05-01T08:15:17Z |
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 |
http://dx.doi.org/10.1109/ACCESS.2021.3099426 IEEE Access, v. 9, p. 105357-105368. 2169-3536 http://hdl.handle.net/11449/233400 10.1109/ACCESS.2021.3099426 2-s2.0-85112603630 |
url |
http://dx.doi.org/10.1109/ACCESS.2021.3099426 http://hdl.handle.net/11449/233400 |
identifier_str_mv |
IEEE Access, v. 9, p. 105357-105368. 2169-3536 10.1109/ACCESS.2021.3099426 2-s2.0-85112603630 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Access |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
105357-105368 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129201456283648 |