A methodology for prediction and assessment of shading on PV systems

Detalhes bibliográficos
Autor(a) principal: Chepp, Ellen David
Data de Publicação: 2021
Outros Autores: Krenzinger, Arno
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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spelling 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
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url http://hdl.handle.net/10183/221201
dc.language.iso.fl_str_mv eng
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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
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