Spatial-temporal estimation of the PV market potential in subareas

Detalhes bibliográficos
Autor(a) principal: Villavicencio, J. [UNESP]
Data de Publicação: 2019
Outros Autores: Padilha-Feltrin, A. [UNESP], Melo, J. D.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/PTC.2019.8810691
http://hdl.handle.net/11449/201181
Resumo: This paper presents a methodology to estimate photovoltaic (PV) market potential in subareas along the time. The proposed methodology takes into account technical and economic constraints to determine the PV market potential. In the estimation is considered the market adhesion degree for investing in PV system. This methodology is applied to a medium-sized city in Brazil by using historical data of PV systems installations from 2013 to 2018 as a way to adjust the proposed model. One of the results are thematic maps that show the PV market potential by subareas in the planning horizon of study. Furthermore, two tariffs schemes are considered in the study of scenarios to observe changes in the estimated values of potential due to the application of other incentive program. These results provide useful information for the planning of distribution system considering the expansion of PV systems and the energy quantity that users will stop consuming from the distribution network.
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spelling Spatial-temporal estimation of the PV market potential in subareasDistribution networkGeographic information systemPhotovoltaic market potentialPhotovoltaic systemsThis paper presents a methodology to estimate photovoltaic (PV) market potential in subareas along the time. The proposed methodology takes into account technical and economic constraints to determine the PV market potential. In the estimation is considered the market adhesion degree for investing in PV system. This methodology is applied to a medium-sized city in Brazil by using historical data of PV systems installations from 2013 to 2018 as a way to adjust the proposed model. One of the results are thematic maps that show the PV market potential by subareas in the planning horizon of study. Furthermore, two tariffs schemes are considered in the study of scenarios to observe changes in the estimated values of potential due to the application of other incentive program. These results provide useful information for the planning of distribution system considering the expansion of PV systems and the energy quantity that users will stop consuming from the distribution network.Dept. of Electrical Engineering UNESP - São Paulo State UniversityEngineering Modeling and Applied Social Sciences Center CECS Federal University of ABC UFABCDept. of Electrical Engineering UNESP - São Paulo State UniversityUniversidade Estadual Paulista (Unesp)Universidade Federal do ABC (UFABC)Villavicencio, J. [UNESP]Padilha-Feltrin, A. [UNESP]Melo, J. D.2020-12-12T02:26:08Z2020-12-12T02:26:08Z2019-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2019.88106912019 IEEE Milan PowerTech, PowerTech 2019.http://hdl.handle.net/11449/20118110.1109/PTC.2019.88106912-s2.0-85072311046Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2019 IEEE Milan PowerTech, PowerTech 2019info:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/201181Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:10:48.234422Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial-temporal estimation of the PV market potential in subareas
title Spatial-temporal estimation of the PV market potential in subareas
spellingShingle Spatial-temporal estimation of the PV market potential in subareas
Villavicencio, J. [UNESP]
Distribution network
Geographic information system
Photovoltaic market potential
Photovoltaic systems
title_short Spatial-temporal estimation of the PV market potential in subareas
title_full Spatial-temporal estimation of the PV market potential in subareas
title_fullStr Spatial-temporal estimation of the PV market potential in subareas
title_full_unstemmed Spatial-temporal estimation of the PV market potential in subareas
title_sort Spatial-temporal estimation of the PV market potential in subareas
author Villavicencio, J. [UNESP]
author_facet Villavicencio, J. [UNESP]
Padilha-Feltrin, A. [UNESP]
Melo, J. D.
author_role author
author2 Padilha-Feltrin, A. [UNESP]
Melo, J. D.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal do ABC (UFABC)
dc.contributor.author.fl_str_mv Villavicencio, J. [UNESP]
Padilha-Feltrin, A. [UNESP]
Melo, J. D.
dc.subject.por.fl_str_mv Distribution network
Geographic information system
Photovoltaic market potential
Photovoltaic systems
topic Distribution network
Geographic information system
Photovoltaic market potential
Photovoltaic systems
description This paper presents a methodology to estimate photovoltaic (PV) market potential in subareas along the time. The proposed methodology takes into account technical and economic constraints to determine the PV market potential. In the estimation is considered the market adhesion degree for investing in PV system. This methodology is applied to a medium-sized city in Brazil by using historical data of PV systems installations from 2013 to 2018 as a way to adjust the proposed model. One of the results are thematic maps that show the PV market potential by subareas in the planning horizon of study. Furthermore, two tariffs schemes are considered in the study of scenarios to observe changes in the estimated values of potential due to the application of other incentive program. These results provide useful information for the planning of distribution system considering the expansion of PV systems and the energy quantity that users will stop consuming from the distribution network.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
2020-12-12T02:26:08Z
2020-12-12T02:26:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/PTC.2019.8810691
2019 IEEE Milan PowerTech, PowerTech 2019.
http://hdl.handle.net/11449/201181
10.1109/PTC.2019.8810691
2-s2.0-85072311046
url http://dx.doi.org/10.1109/PTC.2019.8810691
http://hdl.handle.net/11449/201181
identifier_str_mv 2019 IEEE Milan PowerTech, PowerTech 2019.
10.1109/PTC.2019.8810691
2-s2.0-85072311046
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2019 IEEE Milan PowerTech, PowerTech 2019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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
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