Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás
Ano de defesa: | 2018 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Estadual do Oeste do Paraná
Foz do Iguaçu |
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia Elétrica e Computação
|
Departamento: |
Centro de Engenharias e Ciências Exatas
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://tede.unioeste.br/handle/tede/4277 |
Resumo: | The distributed generation, as a mean of energy generation, has earning more and more space in brazilian electric sector. A relevant alternative, mainly because of the environment benefits, is biogas, obtained from biomass and used as a fuel in internal combustion engines (ICEs). In this scenario, the P&D “Entre Rios do Oeste” (ERO) project, executed by CIBiogás and FPTI and financed by Copel is fitted, which predicts efficient use of the biogas produced by a group of farmers in the west region of Paraná state, through a motor-generator set responsible for transforming the biogas produced by the farmers into electricity. Considering that still there is little results when it comes to computational modeling for ICEs converted to biogas and the opportunity that the ERO project presents, it was considered relevant the development of a computational model of a distributed generation system based in a biogas moved ICE. Following this idea, the present paper intends to develop this modeling from the representation of a biogas conversion based in a gasoline ICE Mean Value Model (MVM). The adjustments incorporated to the model to represent a biogas converted ICE, were basically: an operating speed scheduling, the representation of the biogas conversion by the changing in its main parameters, and a power scheduling for reaching the power of the case of interest. It was then, used to incorporate a distributed generation system, which was modeled through Matlab/Simulink software. Thus, it was verified the functionality and the behavior of the complete model throughout dinamics and statics points of view through computational simulations with variations in its speed and voltage regulator’s reference, as well as faults simulations. The results showed that the model’s dynamic is coherent with a synchronous generation system. The complexity of the excitation system model and the dynamic of the ICE on its own, had insignificant influence on the global dynamics of the system. In other hand, the tests pointed out the non linear behavior of the ICE, which had a huge impact in the system’s dynamics, becoming clear the necessity of representing properly the linearization of the non linearity of the throttle body in the speed controller. Still, the motor-generator inertia standed out in the system’s global dynamics either, which represents the flywheel of the real system. Finally, the obtained result was a model capable of becoming a mean of subsequent technical studies in the scope of distributed generation. The model was developed for phasorial simulations aiming applications in studies of connection to the distribution grid. |
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Reginatto, Romeuhttp://lattes.cnpq.br/9166033914580991Souza, Samuel Nelson Melegari dehttp://lattes.cnpq.br/0938805013383423Ramos, Rodrigo Andradehttp://lattes.cnpq.br/2081545253471652Pinheiro, Breno Carneirohttp://lattes.cnpq.br/4242825379957210http://lattes.cnpq.br/4277382209822682Campos, Bruna Andrade Parcianello2019-05-17T21:17:56Z2018-09-04CAMPOS, Bruna Andrade Parcianello. Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás. 2018. 97 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019.http://tede.unioeste.br/handle/tede/4277The distributed generation, as a mean of energy generation, has earning more and more space in brazilian electric sector. A relevant alternative, mainly because of the environment benefits, is biogas, obtained from biomass and used as a fuel in internal combustion engines (ICEs). In this scenario, the P&D “Entre Rios do Oeste” (ERO) project, executed by CIBiogás and FPTI and financed by Copel is fitted, which predicts efficient use of the biogas produced by a group of farmers in the west region of Paraná state, through a motor-generator set responsible for transforming the biogas produced by the farmers into electricity. Considering that still there is little results when it comes to computational modeling for ICEs converted to biogas and the opportunity that the ERO project presents, it was considered relevant the development of a computational model of a distributed generation system based in a biogas moved ICE. Following this idea, the present paper intends to develop this modeling from the representation of a biogas conversion based in a gasoline ICE Mean Value Model (MVM). The adjustments incorporated to the model to represent a biogas converted ICE, were basically: an operating speed scheduling, the representation of the biogas conversion by the changing in its main parameters, and a power scheduling for reaching the power of the case of interest. It was then, used to incorporate a distributed generation system, which was modeled through Matlab/Simulink software. Thus, it was verified the functionality and the behavior of the complete model throughout dinamics and statics points of view through computational simulations with variations in its speed and voltage regulator’s reference, as well as faults simulations. The results showed that the model’s dynamic is coherent with a synchronous generation system. The complexity of the excitation system model and the dynamic of the ICE on its own, had insignificant influence on the global dynamics of the system. In other hand, the tests pointed out the non linear behavior of the ICE, which had a huge impact in the system’s dynamics, becoming clear the necessity of representing properly the linearization of the non linearity of the throttle body in the speed controller. Still, the motor-generator inertia standed out in the system’s global dynamics either, which represents the flywheel of the real system. Finally, the obtained result was a model capable of becoming a mean of subsequent technical studies in the scope of distributed generation. The model was developed for phasorial simulations aiming applications in studies of connection to the distribution grid.A geração distribuída como forma de geração de energia vem ganhando cada vez mais espaço no setor elétrico brasileiro. Uma alternativa pertinente, principalmente pelo benefício ambiental que oferece, é o biogás, obtido da biomassa e utilizado como combustível para motores de combustão interna (MCIs). A essa realidade se insere o projeto de P&D de Entre Rios do Oeste (ERO), executado pelo CIBiogás e FPTI e financiado pela Copel, que prevê o aproveitamento do biogás gerado por um conjunto de produtores rurais da região oeste do Paraná através de um grupo motor-gerador movido a biogás, responsável por transformar o biogás gerado pelos produtores em energia elétrica. Levando em conta a escassez de resultados na literatura acerca da modelagem computacional própria para MCIs convertidos a biogás e a oportunidade que o projeto de ERO apresenta, tomou-se pertinente desenvolver um modelo computacional de um sistema de geração distribuída (GD) baseado em um MCI alimentado a biogás. Nesse sentido, o presente trabalho objetiva realizar esta modelagem a partir da representação da conversão a biogás sobre um Modelo de Valores Médios (MVMs) de um MCI ciclo Otto movido a gasolina. As adequações realizadas para representar um MCI movido a biogás foram: um escalonamento na velocidade de operação do MCI, a representação da conversão a biogás por meio da modificação das equações empíricas do MVM e de um escalonamento na potência para que se atingisse a potência do caso de interesse. Este foi então, utilizado para compor um sistema de GD, o qual foi modelado utilizando o software Matlab/Simulink. Foi verificada a funcionalidade e o comportamento do modelo completo tanto do ponto de vista estático como dinâmico, através de simulações computacionais frente a variações nas referências dos reguladores de tensão e de velocidade, bem como de simulações frente a faltas trifásicas. Os resultados mostraram que a dinâmica do modelo é coerente com sistemas de geração síncrona. A complexidade do modelo do sistema de excitação e a dinâmica própria do MCI mostraram pouca influência sobre a dinâmica global do sistema. Por outro lado, os testes revelaram grande influência do comportamento não linear do MCI sobre a dinâmica do sistema, ficando clara a necessidade de representar adequadamente a linearização da não linearidade da válvula borboleta no regulador de velocidade. Ainda, mostrou-se relevante na dinâmica global do sistema a inércia do conjunto motor-gerador, parâmetro que representa o volante de inércia do sistema real. Por fim, obtevese, dessa forma, um modelo que serve como subsídio para posteriores estudos técnicos no âmbito de GD. O modelo foi desenvolvido para simulações fasoriais objetivando aplicações em estudos de conexão à rede de distribuição.Submitted by Wagner Junior (wagner.junior@unioeste.br) on 2019-05-17T21:17:56Z No. of bitstreams: 2 Bruna_Andrade_Parcianello_Campos_2019.pdf: 5516699 bytes, checksum: b0e73c10e2384ddbbf68826a7d3d9d77 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)Made available in DSpace on 2019-05-17T21:17:56Z (GMT). No. of bitstreams: 2 Bruna_Andrade_Parcianello_Campos_2019.pdf: 5516699 bytes, checksum: b0e73c10e2384ddbbf68826a7d3d9d77 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2018-09-04application/pdfpor8774263440366006536500Universidade Estadual do Oeste do ParanáFoz do IguaçuPrograma de Pós-Graduação em Engenharia Elétrica e ComputaçãoUNIOESTEBrasilCentro de Engenharias e Ciências Exatashttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessBiogásMotores de combustão internaModelagemModelo de valores médiosGeração distribuídaBiogasInternal combustion engineModelingMean value modelDistributed generationENGENHARIASModelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogásModeling of distributed generation systems with internal combustion engines converted to biogasinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-1040084669565072649600600600-77344021240821469224518971056484826825reponame:Biblioteca Digital de Teses e Dissertações do UNIOESTEinstname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEORIGINALBruna_Andrade_Parcianello_Campos_2019.pdfBruna_Andrade_Parcianello_Campos_2019.pdfapplication/pdf5516699http://tede.unioeste.br:8080/tede/bitstream/tede/4277/5/Bruna_Andrade_Parcianello_Campos_2019.pdfb0e73c10e2384ddbbf68826a7d3d9d77MD55CC-LICENSElicense_urllicense_urltext/plain; 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dc.title.por.fl_str_mv |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
dc.title.alternative.eng.fl_str_mv |
Modeling of distributed generation systems with internal combustion engines converted to biogas |
title |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
spellingShingle |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás Campos, Bruna Andrade Parcianello Biogás Motores de combustão interna Modelagem Modelo de valores médios Geração distribuída Biogas Internal combustion engine Modeling Mean value model Distributed generation ENGENHARIAS |
title_short |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
title_full |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
title_fullStr |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
title_full_unstemmed |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
title_sort |
Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás |
author |
Campos, Bruna Andrade Parcianello |
author_facet |
Campos, Bruna Andrade Parcianello |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Reginatto, Romeu |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9166033914580991 |
dc.contributor.referee1.fl_str_mv |
Souza, Samuel Nelson Melegari de |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/0938805013383423 |
dc.contributor.referee2.fl_str_mv |
Ramos, Rodrigo Andrade |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/2081545253471652 |
dc.contributor.referee3.fl_str_mv |
Pinheiro, Breno Carneiro |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/4242825379957210 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4277382209822682 |
dc.contributor.author.fl_str_mv |
Campos, Bruna Andrade Parcianello |
contributor_str_mv |
Reginatto, Romeu Souza, Samuel Nelson Melegari de Ramos, Rodrigo Andrade Pinheiro, Breno Carneiro |
dc.subject.por.fl_str_mv |
Biogás Motores de combustão interna Modelagem Modelo de valores médios Geração distribuída |
topic |
Biogás Motores de combustão interna Modelagem Modelo de valores médios Geração distribuída Biogas Internal combustion engine Modeling Mean value model Distributed generation ENGENHARIAS |
dc.subject.eng.fl_str_mv |
Biogas Internal combustion engine Modeling Mean value model Distributed generation |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS |
description |
The distributed generation, as a mean of energy generation, has earning more and more space in brazilian electric sector. A relevant alternative, mainly because of the environment benefits, is biogas, obtained from biomass and used as a fuel in internal combustion engines (ICEs). In this scenario, the P&D “Entre Rios do Oeste” (ERO) project, executed by CIBiogás and FPTI and financed by Copel is fitted, which predicts efficient use of the biogas produced by a group of farmers in the west region of Paraná state, through a motor-generator set responsible for transforming the biogas produced by the farmers into electricity. Considering that still there is little results when it comes to computational modeling for ICEs converted to biogas and the opportunity that the ERO project presents, it was considered relevant the development of a computational model of a distributed generation system based in a biogas moved ICE. Following this idea, the present paper intends to develop this modeling from the representation of a biogas conversion based in a gasoline ICE Mean Value Model (MVM). The adjustments incorporated to the model to represent a biogas converted ICE, were basically: an operating speed scheduling, the representation of the biogas conversion by the changing in its main parameters, and a power scheduling for reaching the power of the case of interest. It was then, used to incorporate a distributed generation system, which was modeled through Matlab/Simulink software. Thus, it was verified the functionality and the behavior of the complete model throughout dinamics and statics points of view through computational simulations with variations in its speed and voltage regulator’s reference, as well as faults simulations. The results showed that the model’s dynamic is coherent with a synchronous generation system. The complexity of the excitation system model and the dynamic of the ICE on its own, had insignificant influence on the global dynamics of the system. In other hand, the tests pointed out the non linear behavior of the ICE, which had a huge impact in the system’s dynamics, becoming clear the necessity of representing properly the linearization of the non linearity of the throttle body in the speed controller. Still, the motor-generator inertia standed out in the system’s global dynamics either, which represents the flywheel of the real system. Finally, the obtained result was a model capable of becoming a mean of subsequent technical studies in the scope of distributed generation. The model was developed for phasorial simulations aiming applications in studies of connection to the distribution grid. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018-09-04 |
dc.date.accessioned.fl_str_mv |
2019-05-17T21:17:56Z |
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 |
CAMPOS, Bruna Andrade Parcianello. Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás. 2018. 97 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019. |
dc.identifier.uri.fl_str_mv |
http://tede.unioeste.br/handle/tede/4277 |
identifier_str_mv |
CAMPOS, Bruna Andrade Parcianello. Modelagem de sistemas de geração distribuída com motores de combustão interna invertidos a biogás. 2018. 97 p. Dissertação (Mestrado em Engenharia Elétrica e Computação) - Universidade Estadual do Oeste do Paraná, Foz do Iguaçu, 2019. |
url |
http://tede.unioeste.br/handle/tede/4277 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
-1040084669565072649 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
-7734402124082146922 |
dc.relation.cnpq.fl_str_mv |
4518971056484826825 |
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 |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual do Oeste do Paraná Foz do Iguaçu |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Engenharia Elétrica e Computação |
dc.publisher.initials.fl_str_mv |
UNIOESTE |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Centro de Engenharias e Ciências Exatas |
publisher.none.fl_str_mv |
Universidade Estadual do Oeste do Paraná Foz do Iguaçu |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações do UNIOESTE instname:Universidade Estadual do Oeste do Paraná (UNIOESTE) instacron:UNIOESTE |
instname_str |
Universidade Estadual do Oeste do Paraná (UNIOESTE) |
instacron_str |
UNIOESTE |
institution |
UNIOESTE |
reponame_str |
Biblioteca Digital de Teses e Dissertações do UNIOESTE |
collection |
Biblioteca Digital de Teses e Dissertações do UNIOESTE |
bitstream.url.fl_str_mv |
http://tede.unioeste.br:8080/tede/bitstream/tede/4277/5/Bruna_Andrade_Parcianello_Campos_2019.pdf http://tede.unioeste.br:8080/tede/bitstream/tede/4277/2/license_url http://tede.unioeste.br:8080/tede/bitstream/tede/4277/3/license_text http://tede.unioeste.br:8080/tede/bitstream/tede/4277/4/license_rdf http://tede.unioeste.br:8080/tede/bitstream/tede/4277/1/license.txt |
bitstream.checksum.fl_str_mv |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE) |
repository.mail.fl_str_mv |
biblioteca.repositorio@unioeste.br |
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1794618487634657280 |