A methodology for prediction and assessment of shading on PV systems
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 UFRGS |
Texto Completo: | http://hdl.handle.net/10183/221201 |
Resumo: | Frequently, PV systems are affected by dirt, dust or shadowing from surrounding elements, such as trees and buildings. The shadows can cause partial shading conditions, when the irradiance is not uniform on PV installation, which lead to losses of power. Thus, the shadow prediction is primordial for a better output power estimation and to minimize its losses. The aim of this article is to propose a methodology using intuitive and available tools for shading prediction and losses assessment on PV installations. A study about the shadow pattern and module orientation (portrait and landscape) influence and an analysis of the shading losses on a PV plant were performed in order to demonstrate the applicability of the methodology. The shading effect is drastic when the shading is parallel to the short edge, whereas the effect is lower when it is parallel to the long edge. On the other hand, the losses due to shading and the difference in the position of the modules (landscape or portrait) have a lower impact on the photovoltaic plant case. It was concluded that the methodology is feasible and applicable for shading impact evaluation, despite limitations for large systems due to the simulation time. |
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Chepp, Ellen DavidKrenzinger, Arno2021-05-18T04:36:29Z20210038-092Xhttp://hdl.handle.net/10183/221201001125259Frequently, PV systems are affected by dirt, dust or shadowing from surrounding elements, such as trees and buildings. The shadows can cause partial shading conditions, when the irradiance is not uniform on PV installation, which lead to losses of power. Thus, the shadow prediction is primordial for a better output power estimation and to minimize its losses. The aim of this article is to propose a methodology using intuitive and available tools for shading prediction and losses assessment on PV installations. A study about the shadow pattern and module orientation (portrait and landscape) influence and an analysis of the shading losses on a PV plant were performed in order to demonstrate the applicability of the methodology. The shading effect is drastic when the shading is parallel to the short edge, whereas the effect is lower when it is parallel to the long edge. On the other hand, the losses due to shading and the difference in the position of the modules (landscape or portrait) have a lower impact on the photovoltaic plant case. It was concluded that the methodology is feasible and applicable for shading impact evaluation, despite limitations for large systems due to the simulation time.application/pdfengSolar energy :international journal for scientists, engineers and technologists in solar energy and its application. New York, N. Y. Vol. 216 (Mar. 2021), p. 537-550Sistemas fotovoltaicosEnergia solar fotovoltaicaPhotovoltaicLossesPartial shadingShading effectPower outputShadow predictionA methodology for prediction and assessment of shading on PV systemsEstrangeiroinfo: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:UFRGSTEXT001125259.pdf.txt001125259.pdf.txtExtracted Texttext/plain52042http://www.lume.ufrgs.br/bitstream/10183/221201/2/001125259.pdf.txt376b60a218c61f135b2623808a1c5f39MD52ORIGINAL001125259.pdfTexto completo (inglês)application/pdf6619186http://www.lume.ufrgs.br/bitstream/10183/221201/1/001125259.pdfaf796a44a0934e514793d4d619971d35MD5110183/2212012021-05-26 04:36:56.004545oai:www.lume.ufrgs.br:10183/221201Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-26T07:36:56Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A methodology for prediction and assessment of shading on PV systems |
title |
A methodology for prediction and assessment of shading on PV systems |
spellingShingle |
A methodology for prediction and assessment of shading on PV systems Chepp, Ellen David Sistemas fotovoltaicos Energia solar fotovoltaica Photovoltaic Losses Partial shading Shading effect Power output Shadow prediction |
title_short |
A methodology for prediction and assessment of shading on PV systems |
title_full |
A methodology for prediction and assessment of shading on PV systems |
title_fullStr |
A methodology for prediction and assessment of shading on PV systems |
title_full_unstemmed |
A methodology for prediction and assessment of shading on PV systems |
title_sort |
A methodology for prediction and assessment of shading on PV systems |
author |
Chepp, Ellen David |
author_facet |
Chepp, Ellen David Krenzinger, Arno |
author_role |
author |
author2 |
Krenzinger, Arno |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Chepp, Ellen David Krenzinger, Arno |
dc.subject.por.fl_str_mv |
Sistemas fotovoltaicos Energia solar fotovoltaica |
topic |
Sistemas fotovoltaicos Energia solar fotovoltaica Photovoltaic Losses Partial shading Shading effect Power output Shadow prediction |
dc.subject.eng.fl_str_mv |
Photovoltaic Losses Partial shading Shading effect Power output Shadow prediction |
description |
Frequently, PV systems are affected by dirt, dust or shadowing from surrounding elements, such as trees and buildings. The shadows can cause partial shading conditions, when the irradiance is not uniform on PV installation, which lead to losses of power. Thus, the shadow prediction is primordial for a better output power estimation and to minimize its losses. The aim of this article is to propose a methodology using intuitive and available tools for shading prediction and losses assessment on PV installations. A study about the shadow pattern and module orientation (portrait and landscape) influence and an analysis of the shading losses on a PV plant were performed in order to demonstrate the applicability of the methodology. The shading effect is drastic when the shading is parallel to the short edge, whereas the effect is lower when it is parallel to the long edge. On the other hand, the losses due to shading and the difference in the position of the modules (landscape or portrait) have a lower impact on the photovoltaic plant case. It was concluded that the methodology is feasible and applicable for shading impact evaluation, despite limitations for large systems due to the simulation time. |
publishDate |
2021 |
dc.date.accessioned.fl_str_mv |
2021-05-18T04:36:29Z |
dc.date.issued.fl_str_mv |
2021 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/221201 |
dc.identifier.issn.pt_BR.fl_str_mv |
0038-092X |
dc.identifier.nrb.pt_BR.fl_str_mv |
001125259 |
identifier_str_mv |
0038-092X 001125259 |
url |
http://hdl.handle.net/10183/221201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Solar energy :international journal for scientists, engineers and technologists in solar energy and its application. New York, N. Y. Vol. 216 (Mar. 2021), p. 537-550 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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