Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/9391 |
Resumo: | This work presents results from analyses of meteorological data acquired from the meteorological station and performance data acquired from the photovoltaic system, both installed at The School of Electrical, Mechanical and Computer Engineering (EMC) of The Federal University of Goias (UFG). The Meteorological station is composed of sensors that register solar irradiance on the horizontal plane, air temperature, pluviometric precipitation, relative air humidity, atmosphere pressure, speed an direction of the air. The meteorological data are acquire at one minute intervals and saved in a logger. The photovoltaic (PV) system comprises 133 PV modules rated at 235 W each, resulting in a system rated at 31,255 kW of total power. The analyses of meteorological data were based on a three-year sample base frotm 2016 to 2018 and PV system performance analyses were carried out based on data collected during the years 2017 and 2018. Irradiance and irradiation on tilted surface with inclination at the local latitude angle were estimated from irradiance on horizontal surface and then compared using to the following models: Iqbal (1983); Liu and Jordan (1960); Koronakis (1986); Jimenez and Castro (1982); Revfeim (1978) and Duffie and Beckman (1991). As a result, Duffie and Beckman model was adopted as the model to be used in this study. Both global irradiances and irradiations on horizontal as well as tilted surface with inclination at the local latitude angle were estimated by Duffie and Beckman model and compared to results from the Brazilian Atlas for Solar Energy and results from Radiasol2 Software. The PV system performance was assessed by some figures of merit, namely PV energy production (kWh); specific PV-productivity (YF in kWh/kWp); capacity factor and production ratio (PR). The PV energy production was obtained from inverter monitoring software provided by manufacturer. Energy production combined with meteorological data allows for computing the other figures of merit. Measured data were compared to theoretically figures of merit estimated from meteorological data and PV system technical characteristics. Furthermore, this study addressed some external influences on the modules such as soiling and shading. Yearly specific PV-productivity was 1209 kWh/kWp in 2017 and 1283 kWh/kWp in 2018; capacity factor was 13.8% in 2017 and 14.37% in 2018; and performance ratio was 63,93% in 2017 and 69,09% in 2018. In 2018 the PV modules were pressure washed monthly from June 23 rd , yielding an increase in all figures of merit in 2018 as opposed to those in 2017, highlighting the relevance of regular cleaning of modules for suitable PV system performance. |
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Alvarenga, Bernardo Pinheiro dehttp://lattes.cnpq.br/9850449311607643Marra, Enes Gonçalveshttp://lattes.cnpq.br/8463332056679918Alvarenga, Bernardo Pinheiro deDomingos, José LuisPimentel, Sérgio PiresMarra, Enes Gonçalveshttp://lattes.cnpq.br/3026615893549087Silva, Jéssica Alice Alves da2019-03-27T13:20:57Z2019-03-08SILVA, J. A. A. Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG. 2019. 188 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2019.http://repositorio.bc.ufg.br/tede/handle/tede/9391This work presents results from analyses of meteorological data acquired from the meteorological station and performance data acquired from the photovoltaic system, both installed at The School of Electrical, Mechanical and Computer Engineering (EMC) of The Federal University of Goias (UFG). The Meteorological station is composed of sensors that register solar irradiance on the horizontal plane, air temperature, pluviometric precipitation, relative air humidity, atmosphere pressure, speed an direction of the air. The meteorological data are acquire at one minute intervals and saved in a logger. The photovoltaic (PV) system comprises 133 PV modules rated at 235 W each, resulting in a system rated at 31,255 kW of total power. The analyses of meteorological data were based on a three-year sample base frotm 2016 to 2018 and PV system performance analyses were carried out based on data collected during the years 2017 and 2018. Irradiance and irradiation on tilted surface with inclination at the local latitude angle were estimated from irradiance on horizontal surface and then compared using to the following models: Iqbal (1983); Liu and Jordan (1960); Koronakis (1986); Jimenez and Castro (1982); Revfeim (1978) and Duffie and Beckman (1991). As a result, Duffie and Beckman model was adopted as the model to be used in this study. Both global irradiances and irradiations on horizontal as well as tilted surface with inclination at the local latitude angle were estimated by Duffie and Beckman model and compared to results from the Brazilian Atlas for Solar Energy and results from Radiasol2 Software. The PV system performance was assessed by some figures of merit, namely PV energy production (kWh); specific PV-productivity (YF in kWh/kWp); capacity factor and production ratio (PR). The PV energy production was obtained from inverter monitoring software provided by manufacturer. Energy production combined with meteorological data allows for computing the other figures of merit. Measured data were compared to theoretically figures of merit estimated from meteorological data and PV system technical characteristics. Furthermore, this study addressed some external influences on the modules such as soiling and shading. Yearly specific PV-productivity was 1209 kWh/kWp in 2017 and 1283 kWh/kWp in 2018; capacity factor was 13.8% in 2017 and 14.37% in 2018; and performance ratio was 63,93% in 2017 and 69,09% in 2018. In 2018 the PV modules were pressure washed monthly from June 23 rd , yielding an increase in all figures of merit in 2018 as opposed to those in 2017, highlighting the relevance of regular cleaning of modules for suitable PV system performance.Este estudo apresenta o tratamento de dados da estação meteorológica e análise de desempenho do sistema fotovoltaico, instalados na Escola de Engenharia Elétrica, Mecânica e de Computação da Universidade Federal de Goiás (EMC/UFG). A estação meteorológica possui sensores que registram irradiância solar no plano horizontal, temperatura do ar, precipitação pluviométrica, umidade relativa do ar, pressão atmosférica, velocidade e direção do vento. Os dados meteorológicos são adquiridos em intervalos de um minuto e salvos em um registrador. O sistema fotovoltaico possui 133 módulos com potência nominal de 235W cada, totalizando 31,255 kWp de potência instalada. O tratamento de dados meteorológicos contou com 3 anos de coleta de dados (2016 a 2018) e a análise de desempenho do sistema foi realizada para os anos de 2017 e 2018. Através de dados de irradiância global no plano horizontal, estimou-se a irradiância e irradiação global no plano inclinado com latitude local, comparando-se os modelos propostos por Iqbal (1983), Liu e Jordan (1960), Koronakis (1986), Jimenez e Castro (1982), Revfeim (1978) e Duffie e Beckman (1991), sendo este último adotado neste estudo. As irradiações globais nos planos horizontal e inclinado com latitude local foram confrontadas com resultados apresentados no Atlas Brasileiro de Energia Solar e com resultados do Programa Radiasol2. A verificação do desempenho da instalação se dá principalmente por alguns indicadores, conhecidos como figuras de mérito, que são: produção de energia (kWh), produtividade fotovoltaica específica (YF em kWh/kWp), fator de capacidade e rendimento global (performance ratio, PR na sigla em inglês). Os resultados do desempenho do sistema foram obtidos através dos dados de produção de energia medidos pelo sistema de monitoramento dos inversores, fornecidos pelo fabricante, e confrontados com os resultados estimados através dos dados meteorológicos medidos e tratados. Além disso, o estudo apresenta as influências externas as quais os módulos estão sujeitos, como sujidade e sombreamento. A produtividade fotovoltaica específica (YF ) foi 1209 kWh/kWp em 2017 e 1283 kWh/kWp em 2018; o fator de capacidade foi 13,8 % em 2017 e 14,64% em 2018; e o rendimento global foi 63,93% em 2017 e 69,09% em 2018. Em 2018 o sistema passou por limpezas mensais a partir de 23 de junho, e verificou-se aumento da produtividade específica, do fator de capacidade e do desempenho global para o ano de 2018 quando comparado ao ano de 2017, evidenciando a importância da limpeza dos módulos em sistemas de geração fotovoltaica.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2019-03-27T13:19:16Z No. of bitstreams: 2 Dissertação - Jéssica Alice Alves da Silva - 2019.pdf: 18796965 bytes, checksum: 66c1e7aeb2859a6ad31f1add26a8945e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2019-03-27T13:20:57Z (GMT) No. of bitstreams: 2 Dissertação - Jéssica Alice Alves da Silva - 2019.pdf: 18796965 bytes, checksum: 66c1e7aeb2859a6ad31f1add26a8945e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2019-03-27T13:20:57Z (GMT). No. of bitstreams: 2 Dissertação - Jéssica Alice Alves da Silva - 2019.pdf: 18796965 bytes, checksum: 66c1e7aeb2859a6ad31f1add26a8945e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2019-03-08application/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia Elétrica e da Computação (EMC)UFGBrasilEscola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessFator de capacidadeIrradiação solarProdutividade fotovoltaica específicaRendimento globalSistema fotovoltaicoPhotovoltaic systemPerformance ratioPhotovoltaic productivityCapacity fatorSolar radiationENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIATratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFGProcessing of meteorological data and performance data of the photovoltaic system at the EMC/UFGinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-5088589215393046129600600600-7705723421721944646546452824502803468reponame:Biblioteca Digital de Teses e Dissertações da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; 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dc.title.eng.fl_str_mv |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
dc.title.alternative.eng.fl_str_mv |
Processing of meteorological data and performance data of the photovoltaic system at the EMC/UFG |
title |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
spellingShingle |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG Silva, Jéssica Alice Alves da Fator de capacidade Irradiação solar Produtividade fotovoltaica específica Rendimento global Sistema fotovoltaico Photovoltaic system Performance ratio Photovoltaic productivity Capacity fator Solar radiation ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA |
title_short |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
title_full |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
title_fullStr |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
title_full_unstemmed |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
title_sort |
Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG |
author |
Silva, Jéssica Alice Alves da |
author_facet |
Silva, Jéssica Alice Alves da |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Alvarenga, Bernardo Pinheiro de |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9850449311607643 |
dc.contributor.advisor-co1.fl_str_mv |
Marra, Enes Gonçalves |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/8463332056679918 |
dc.contributor.referee1.fl_str_mv |
Alvarenga, Bernardo Pinheiro de |
dc.contributor.referee2.fl_str_mv |
Domingos, José Luis |
dc.contributor.referee3.fl_str_mv |
Pimentel, Sérgio Pires |
dc.contributor.referee4.fl_str_mv |
Marra, Enes Gonçalves |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3026615893549087 |
dc.contributor.author.fl_str_mv |
Silva, Jéssica Alice Alves da |
contributor_str_mv |
Alvarenga, Bernardo Pinheiro de Marra, Enes Gonçalves Alvarenga, Bernardo Pinheiro de Domingos, José Luis Pimentel, Sérgio Pires Marra, Enes Gonçalves |
dc.subject.por.fl_str_mv |
Fator de capacidade Irradiação solar Produtividade fotovoltaica específica Rendimento global Sistema fotovoltaico |
topic |
Fator de capacidade Irradiação solar Produtividade fotovoltaica específica Rendimento global Sistema fotovoltaico Photovoltaic system Performance ratio Photovoltaic productivity Capacity fator Solar radiation ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA |
dc.subject.eng.fl_str_mv |
Photovoltaic system Performance ratio Photovoltaic productivity Capacity fator Solar radiation |
dc.subject.cnpq.fl_str_mv |
ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA |
description |
This work presents results from analyses of meteorological data acquired from the meteorological station and performance data acquired from the photovoltaic system, both installed at The School of Electrical, Mechanical and Computer Engineering (EMC) of The Federal University of Goias (UFG). The Meteorological station is composed of sensors that register solar irradiance on the horizontal plane, air temperature, pluviometric precipitation, relative air humidity, atmosphere pressure, speed an direction of the air. The meteorological data are acquire at one minute intervals and saved in a logger. The photovoltaic (PV) system comprises 133 PV modules rated at 235 W each, resulting in a system rated at 31,255 kW of total power. The analyses of meteorological data were based on a three-year sample base frotm 2016 to 2018 and PV system performance analyses were carried out based on data collected during the years 2017 and 2018. Irradiance and irradiation on tilted surface with inclination at the local latitude angle were estimated from irradiance on horizontal surface and then compared using to the following models: Iqbal (1983); Liu and Jordan (1960); Koronakis (1986); Jimenez and Castro (1982); Revfeim (1978) and Duffie and Beckman (1991). As a result, Duffie and Beckman model was adopted as the model to be used in this study. Both global irradiances and irradiations on horizontal as well as tilted surface with inclination at the local latitude angle were estimated by Duffie and Beckman model and compared to results from the Brazilian Atlas for Solar Energy and results from Radiasol2 Software. The PV system performance was assessed by some figures of merit, namely PV energy production (kWh); specific PV-productivity (YF in kWh/kWp); capacity factor and production ratio (PR). The PV energy production was obtained from inverter monitoring software provided by manufacturer. Energy production combined with meteorological data allows for computing the other figures of merit. Measured data were compared to theoretically figures of merit estimated from meteorological data and PV system technical characteristics. Furthermore, this study addressed some external influences on the modules such as soiling and shading. Yearly specific PV-productivity was 1209 kWh/kWp in 2017 and 1283 kWh/kWp in 2018; capacity factor was 13.8% in 2017 and 14.37% in 2018; and performance ratio was 63,93% in 2017 and 69,09% in 2018. In 2018 the PV modules were pressure washed monthly from June 23 rd , yielding an increase in all figures of merit in 2018 as opposed to those in 2017, highlighting the relevance of regular cleaning of modules for suitable PV system performance. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-03-27T13:20:57Z |
dc.date.issued.fl_str_mv |
2019-03-08 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SILVA, J. A. A. Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG. 2019. 188 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2019. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/9391 |
identifier_str_mv |
SILVA, J. A. A. Tratamento de dados meteorológicos e análise de desempenho do sistema fotovoltaico da EMC/UFG. 2019. 188 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2019. |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/9391 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
-5088589215393046129 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
-7705723421721944646 |
dc.relation.cnpq.fl_str_mv |
546452824502803468 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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Universidade Federal de Goiás |
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Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC) |
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UFG |
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Brasil |
dc.publisher.department.fl_str_mv |
Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
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Universidade Federal de Goiás (UFG) |
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Biblioteca Digital de Teses e Dissertações da UFG |
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Biblioteca Digital de Teses e Dissertações da UFG |
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Biblioteca Digital de Teses e Dissertações da UFG - Universidade Federal de Goiás (UFG) |
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