Spatial-temporal estimation of the PV market potential in subareas
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128905906749440 |