Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Oliveira, Cássia Maria de
Orientador(a): Cruz, Antonio José Gonçalves da lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Federal de São Carlos
Câmpus São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Química - PPGEQ
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/ufscar/9541
Resumo: Brazil has a great importance as biofuels producer, especially of ethanol from sugarcane. The bagasse, a byproduct of sugarcane biorefineries, can be used to generate electricity and produce second generation ethanol. However, variations in prices of electricity and ethanol may motivate variations in the operating conditions of the integrated biorefinery process, which produces first and second generation ethanol and bioelectricity. The heat exchanger network (HEN) of such a process must be able to meet these variations. This work aimed the synthesis of multiperiod HEN in sugarcane biorefineries. In this approach, each period indicates a process condition and the HEN synthesized is able to meet these different operating conditions. Three industrial case studies are considered. Case Study 1 (CS1) is a biorefinery that produces 1G/2G ethanol and electricity, disposing the pentoses fraction. In Case Studies 2 and 3, CS2 and CS3, the process is similar, but the pentoses fraction is used to produce ethanol (CS2) or biogas (CS3). For each biorefinery, three periods were considered, which differ in the bagasse fraction diverted to 2G ethanol production. In each period, a Mixed Integer Nonlinear Programming (MINLP) problem was solved to minimize the total annualized cost (TAC) and timesharing mechanisms were used to integrate the HENs of all periods into a multiperiod HEN. Optimization problems were solved at two levels using three different strategies. In the first strategy, an adapted Particle Swarm Optimization algorithm was used in both levels. However, the solutions by this method presented small TAC improvements compared to the process commonly found in Brazilian plants, where there is already energy integration among some process streams (called in this work of the process with project integration). To deal with this problem, two strategies were employed with hybrid metaheuristics: Simulated Annealing and Rocket Fireworks Optimization; and Tabu Search and Particle Swarm Optimization. For processes with the multiperiod HENs, these latter two strategies presented reductions above 58% and 54% in TAC and steam demand, respectively, compared to processes without energy integration. Also, using the aforementioned methods, improvements in TAC and steam demand for process with the multiperiod HENs reach values above 44% and 41%, respectively, in relation to processes with project integration. Such reductions in steam demand allow diverting more bagasse to produce second generation ethanol. In addition, energy integration in biorefineries provides improved energy management and reduced operating and capital costs. Thus, all these improvements contribute to 1G/2G ethanol and electricity production process.
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spelling Oliveira, Cássia Maria deCruz, Antonio José Gonçalves dahttp://lattes.cnpq.br/1812806190521028Costa, Caliane Bastos Borbahttp://lattes.cnpq.br/1602653870311562http://lattes.cnpq.br/83320486661903852018-03-07T14:02:53Z2018-03-07T14:02:53Z2018-01-16OLIVEIRA, Cássia Maria de. Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica. 2018. Tese (Doutorado em Engenharia Química) – Universidade Federal de São Carlos, São Carlos, 2018. Disponível em: https://repositorio.ufscar.br/handle/ufscar/9541.https://repositorio.ufscar.br/handle/ufscar/9541Brazil has a great importance as biofuels producer, especially of ethanol from sugarcane. The bagasse, a byproduct of sugarcane biorefineries, can be used to generate electricity and produce second generation ethanol. However, variations in prices of electricity and ethanol may motivate variations in the operating conditions of the integrated biorefinery process, which produces first and second generation ethanol and bioelectricity. The heat exchanger network (HEN) of such a process must be able to meet these variations. This work aimed the synthesis of multiperiod HEN in sugarcane biorefineries. In this approach, each period indicates a process condition and the HEN synthesized is able to meet these different operating conditions. Three industrial case studies are considered. Case Study 1 (CS1) is a biorefinery that produces 1G/2G ethanol and electricity, disposing the pentoses fraction. In Case Studies 2 and 3, CS2 and CS3, the process is similar, but the pentoses fraction is used to produce ethanol (CS2) or biogas (CS3). For each biorefinery, three periods were considered, which differ in the bagasse fraction diverted to 2G ethanol production. In each period, a Mixed Integer Nonlinear Programming (MINLP) problem was solved to minimize the total annualized cost (TAC) and timesharing mechanisms were used to integrate the HENs of all periods into a multiperiod HEN. Optimization problems were solved at two levels using three different strategies. In the first strategy, an adapted Particle Swarm Optimization algorithm was used in both levels. However, the solutions by this method presented small TAC improvements compared to the process commonly found in Brazilian plants, where there is already energy integration among some process streams (called in this work of the process with project integration). To deal with this problem, two strategies were employed with hybrid metaheuristics: Simulated Annealing and Rocket Fireworks Optimization; and Tabu Search and Particle Swarm Optimization. For processes with the multiperiod HENs, these latter two strategies presented reductions above 58% and 54% in TAC and steam demand, respectively, compared to processes without energy integration. Also, using the aforementioned methods, improvements in TAC and steam demand for process with the multiperiod HENs reach values above 44% and 41%, respectively, in relation to processes with project integration. Such reductions in steam demand allow diverting more bagasse to produce second generation ethanol. In addition, energy integration in biorefineries provides improved energy management and reduced operating and capital costs. Thus, all these improvements contribute to 1G/2G ethanol and electricity production process.O Brasil tem uma grande importância como produtor de biocombustíveis, especialmente na produção de etanol a partir de cana-de-açúcar. O bagaço, um subproduto das biorrefinarias de cana-de-açúcar, pode ser usado para gerar energia elétrica e produzir etanol de segunda geração. No entanto, as variações nos preços da energia elétrica e do etanol podem motivar variações nas condições operacionais do processo integrado da biorrefinaria, a qual produz etanol de primeira e segunda geração e energia elétrica. A rede de trocador de calor (RTC) de tal processo deve ser capaz de atender a essas variações. Este trabalho teve como objetivo a síntese de RTC multiperiódica em biorrefinarias de cana-de-açúcar. Nesta abordagem, cada período indica uma condição de processo e a RTC sintetizada é capaz de atender a essas diferentes condições de operação. Três estudos de caso industriais são considerados. O Estudo de Caso 1 (EC1) é uma biorrefinaria que produz etanol 1G/2G e energia elétrica, descartando a fração de pentoses. Nos Estudos de Caso 2 e 3, EC2 e EC3, o processo é semelhante, mas a fração de pentoses é usada para produzir etanol (EC2) ou biogás (EC3). Para cada biorrefinaria, foram considerados três períodos, que diferem na fração do bagaço desviada para a produção de etanol 2G. Em cada período, um problema de Programação Não Linear Inteira Mista (PNLIM) foi resolvido para minimizar o Custo Total Anualizado (CTA) e mecanismos de compartilhamento de tempo foram utilizados para integrar as RTCs de todos os períodos em uma RTC multiperiódica. Os problemas de otimização foram resolvidos em dois níveis usando três estratégias diferentes. Na primeira estratégia, uma adaptação do algoritmo Otimização por Enxame de Partículas foi usada em ambos os níveis. No entanto, as soluções por este método apresentaram pequenas melhorias de CTA em comparação com o processo comumente encontrado nas plantas brasileiras, onde já existe integração de energia entre algumas correntes de processo (chamado neste trabalho de processo com integração de projeto). Para lidar com esse problema, duas estratégias foram empregadas com metaheurísticas híbridas: Recozimento Simulado e Otimização por Fogos de Artificio; e Busca Tabu e Otimização por Enxame de Partículas. Para os processos com as RTCs multiperiódicas, estas duas últimas estratégias apresentaram reduções acima de 58% e 54% no CTA e na demanda de vapor, respectivamente, em comparação com processos sem integração de energia. Além disso, usando os métodos acima mencionados, as melhorias no CTA e na demanda de vapor para o processo com as RTCs multiperiódicas atingem valores acima de 44% e 41%, respectivamente, em relação aos processos com integração de projeto. Tais reduções na demanda de vapor permitem desviar mais bagaço para a produção de etanol de segunda geração. Além disso, a integração energética em biorrefinarias oferece melhor gerenciamento da energia e redução nos custos de operação e de capital. Assim, todas essas melhorias contribuem para o processo de produção de etanol 1G/2G e energia elétrica.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)FAPESP: 2013/21343-3engUniversidade Federal de São CarlosCâmpus São CarlosPrograma de Pós-Graduação em Engenharia Química - PPGEQUFSCarEtanol 1G/2GSíntese de rede de trocador de calorOtimização por exame de partículasRecozimento simuladoOtimização por fogos de artifícioBusca tabuENGENHARIAS::ENGENHARIA QUIMICA::PROCESSOS INDUSTRIAIS DE ENGENHARIA QUIMICAIntegração energética de biorrefinarias de cana-de-açúcar com operação multiperiódicaEnergy Integration of Sugarcane Biorefineries with Multiperiod Operationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisOnlineinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARLICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/9541/3/license.txtae0398b6f8b235e40ad82cba6c50031dMD53ORIGINALOLIVEIRA_Cassia_2018.pdfOLIVEIRA_Cassia_2018.pdfapplication/pdf4599074https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/9541/4/OLIVEIRA_Cassia_2018.pdf8dd730a0ccf32026dd101b23feb110f8MD54TEXTOLIVEIRA_Cassia_2018.pdf.txtOLIVEIRA_Cassia_2018.pdf.txtExtracted texttext/plain398619https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/9541/5/OLIVEIRA_Cassia_2018.pdf.txt5668d5745197a8e0db7f5902ad791db6MD55THUMBNAILOLIVEIRA_Cassia_2018.pdf.jpgOLIVEIRA_Cassia_2018.pdf.jpgIM Thumbnailimage/jpeg6460https://{{ getenv "DSPACE_HOST" "repositorio.ufscar.br" }}/bitstream/ufscar/9541/6/OLIVEIRA_Cassia_2018.pdf.jpg0a49c2ff5818c88abceb7a9b0692fe9cMD56ufscar/95412019-09-11 03:05:07.634oai:repositorio.ufscar.br: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Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-05-25T12:55:26.817674Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.por.fl_str_mv Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
dc.title.alternative.eng.fl_str_mv Energy Integration of Sugarcane Biorefineries with Multiperiod Operation
title Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
spellingShingle Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
Oliveira, Cássia Maria de
Etanol 1G/2G
Síntese de rede de trocador de calor
Otimização por exame de partículas
Recozimento simulado
Otimização por fogos de artifício
Busca tabu
ENGENHARIAS::ENGENHARIA QUIMICA::PROCESSOS INDUSTRIAIS DE ENGENHARIA QUIMICA
title_short Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
title_full Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
title_fullStr Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
title_full_unstemmed Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
title_sort Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica
author Oliveira, Cássia Maria de
author_facet Oliveira, Cássia Maria de
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/8332048666190385
dc.contributor.author.fl_str_mv Oliveira, Cássia Maria de
dc.contributor.advisor1.fl_str_mv Cruz, Antonio José Gonçalves da
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1812806190521028
dc.contributor.advisor-co1.fl_str_mv Costa, Caliane Bastos Borba
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/1602653870311562
contributor_str_mv Cruz, Antonio José Gonçalves da
Costa, Caliane Bastos Borba
dc.subject.por.fl_str_mv Etanol 1G/2G
Síntese de rede de trocador de calor
Otimização por exame de partículas
Recozimento simulado
Otimização por fogos de artifício
Busca tabu
topic Etanol 1G/2G
Síntese de rede de trocador de calor
Otimização por exame de partículas
Recozimento simulado
Otimização por fogos de artifício
Busca tabu
ENGENHARIAS::ENGENHARIA QUIMICA::PROCESSOS INDUSTRIAIS DE ENGENHARIA QUIMICA
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA QUIMICA::PROCESSOS INDUSTRIAIS DE ENGENHARIA QUIMICA
description Brazil has a great importance as biofuels producer, especially of ethanol from sugarcane. The bagasse, a byproduct of sugarcane biorefineries, can be used to generate electricity and produce second generation ethanol. However, variations in prices of electricity and ethanol may motivate variations in the operating conditions of the integrated biorefinery process, which produces first and second generation ethanol and bioelectricity. The heat exchanger network (HEN) of such a process must be able to meet these variations. This work aimed the synthesis of multiperiod HEN in sugarcane biorefineries. In this approach, each period indicates a process condition and the HEN synthesized is able to meet these different operating conditions. Three industrial case studies are considered. Case Study 1 (CS1) is a biorefinery that produces 1G/2G ethanol and electricity, disposing the pentoses fraction. In Case Studies 2 and 3, CS2 and CS3, the process is similar, but the pentoses fraction is used to produce ethanol (CS2) or biogas (CS3). For each biorefinery, three periods were considered, which differ in the bagasse fraction diverted to 2G ethanol production. In each period, a Mixed Integer Nonlinear Programming (MINLP) problem was solved to minimize the total annualized cost (TAC) and timesharing mechanisms were used to integrate the HENs of all periods into a multiperiod HEN. Optimization problems were solved at two levels using three different strategies. In the first strategy, an adapted Particle Swarm Optimization algorithm was used in both levels. However, the solutions by this method presented small TAC improvements compared to the process commonly found in Brazilian plants, where there is already energy integration among some process streams (called in this work of the process with project integration). To deal with this problem, two strategies were employed with hybrid metaheuristics: Simulated Annealing and Rocket Fireworks Optimization; and Tabu Search and Particle Swarm Optimization. For processes with the multiperiod HENs, these latter two strategies presented reductions above 58% and 54% in TAC and steam demand, respectively, compared to processes without energy integration. Also, using the aforementioned methods, improvements in TAC and steam demand for process with the multiperiod HENs reach values above 44% and 41%, respectively, in relation to processes with project integration. Such reductions in steam demand allow diverting more bagasse to produce second generation ethanol. In addition, energy integration in biorefineries provides improved energy management and reduced operating and capital costs. Thus, all these improvements contribute to 1G/2G ethanol and electricity production process.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-03-07T14:02:53Z
dc.date.available.fl_str_mv 2018-03-07T14:02:53Z
dc.date.issued.fl_str_mv 2018-01-16
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dc.identifier.citation.fl_str_mv OLIVEIRA, Cássia Maria de. Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica. 2018. Tese (Doutorado em Engenharia Química) – Universidade Federal de São Carlos, São Carlos, 2018. Disponível em: https://repositorio.ufscar.br/handle/ufscar/9541.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/9541
identifier_str_mv OLIVEIRA, Cássia Maria de. Integração energética de biorrefinarias de cana-de-açúcar com operação multiperiódica. 2018. Tese (Doutorado em Engenharia Química) – Universidade Federal de São Carlos, São Carlos, 2018. Disponível em: https://repositorio.ufscar.br/handle/ufscar/9541.
url https://repositorio.ufscar.br/handle/ufscar/9541
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Química - PPGEQ
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
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