Characterization of the methanol recovery process at Prio Biocombustíveis S. A.

Detalhes bibliográficos
Autor(a) principal: Santos, Sérgio Manuel Rodrigues dos
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/16068
Resumo: In a industrial environment, to know the process one is working with is crucial to ensure its good functioning. In the present work, developed at Prio Biocombustíveis S.A. facilities, using process data, collected during the present work, and historical process data, the methanol recovery process was characterized, having started with the characterization of key process streams. Based on the information retrieved from the stream characterization, Aspen Plus® process simulation software was used to replicate the process and perform a sensitivity analysis with the objective of accessing the relative importance of certain key process variables (reflux/feed ratio, reflux temperature, reboiler outlet temperature, methanol, glycerol and water feed compositions). The work proceeded with the application of a set of statistical tools, starting with the Principal Components Analysis (PCA) from which the interactions between process variables and their contribution to the process variability was studied. Next, the Design of Experiments (DoE) was used to acquire experimental data and, with it, create a model for the water amount in the distillate. However, the necessary conditions to perform this method were not met and so it was abandoned. The Multiple Linear Regression method (MLR) was then used with the available data, creating several empiric models for the water at distillate, the one with the highest fit having a R2 equal to 92.93% and AARD equal to 19.44%. Despite the AARD still being relatively high, the model is still adequate to make fast estimates of the distillate’s quality. As for fouling, its presence has been noticed many times during this work. Not being possible to directly measure the fouling, the reboiler inlet steam pressure was used as an indicator of the fouling growth and its growth variation with the amount of Used Cooking Oil incorporated in the whole process. Comparing the steam cost associated to the reboiler’s operation when fouling is low (1.5 bar of steam pressure) and when fouling is high (reboiler’s steam pressure of 3 bar), an increase of about 58% occurs when the fouling increases.
id RCAP_7e41dc7d4a30a08818bc3b030b882f7d
oai_identifier_str oai:ria.ua.pt:10773/16068
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Characterization of the methanol recovery process at Prio Biocombustíveis S. A.Engenharia químicaMetanol - PropriedadesRegressão linearIn a industrial environment, to know the process one is working with is crucial to ensure its good functioning. In the present work, developed at Prio Biocombustíveis S.A. facilities, using process data, collected during the present work, and historical process data, the methanol recovery process was characterized, having started with the characterization of key process streams. Based on the information retrieved from the stream characterization, Aspen Plus® process simulation software was used to replicate the process and perform a sensitivity analysis with the objective of accessing the relative importance of certain key process variables (reflux/feed ratio, reflux temperature, reboiler outlet temperature, methanol, glycerol and water feed compositions). The work proceeded with the application of a set of statistical tools, starting with the Principal Components Analysis (PCA) from which the interactions between process variables and their contribution to the process variability was studied. Next, the Design of Experiments (DoE) was used to acquire experimental data and, with it, create a model for the water amount in the distillate. However, the necessary conditions to perform this method were not met and so it was abandoned. The Multiple Linear Regression method (MLR) was then used with the available data, creating several empiric models for the water at distillate, the one with the highest fit having a R2 equal to 92.93% and AARD equal to 19.44%. Despite the AARD still being relatively high, the model is still adequate to make fast estimates of the distillate’s quality. As for fouling, its presence has been noticed many times during this work. Not being possible to directly measure the fouling, the reboiler inlet steam pressure was used as an indicator of the fouling growth and its growth variation with the amount of Used Cooking Oil incorporated in the whole process. Comparing the steam cost associated to the reboiler’s operation when fouling is low (1.5 bar of steam pressure) and when fouling is high (reboiler’s steam pressure of 3 bar), an increase of about 58% occurs when the fouling increases.Em ambiente industrial, conhecer o processo em que se está a trabalhar é crucial para assegurar o seu bom funcionamento. No presente trabalho, desenvolvido nas instalações da Prio Biocombustíveis, utilizando dados do processo, recolhidos no decorrer do trabalho, e dados do histórico de produção caracterizou-se o processo de recuperação de metanol, tendo-se começando pela caracterização das correntes chave do mesmo. Com base na informação obtida na caracterização de correntes, o software de simulação de processos químicos Aspen Plus® foi utilizado para replicar o processo e realizar uma análise de sensibilidade com o fim de discernir a importância relativa de variáveis chave do processo (rácio refluxo/alimentação, temperatura de refluxo, temperatura á saída do reboiler, composições na alimentação de metanol, glicerol e água). O trabalho continuou com a aplicação de um conjunto de ferramentas estatísticas, começando pela Análise aos Componentes Principais onde se estudaram as interações entre variáveis e a sua contribuição para a variabilidade do processo. De seguida, o método de Desenho de Experiencias foi utilizado para obter dados experimentais para com eles criar um modelo capaz de simular a quantidade de água no destilado. No entanto, para este método, as condições necessárias à sua realização não se verificaram, levando ao seu abandono. Passou-se então para o método de Regressão Linear Múltipla, utilizando dados observacionais, do qual surgiram vários modelos empíricos, o melhor apresentando um R2 igual a 92.93% a AARD igual a 19.44%. Apesar de o AARD ainda ser relativamente alto, considera-se que o modelo é adequado para realizar estimativas rápidas da condição do destilado na coluna. A influência do fouling no processo foi também muitas vezes notada ao longo deste trabalho. Não sendo possível a medição direta do fouling no processo, a pressão do vapor à entrada do reboiler foi usada como indicador do estado do fouling, tendo sido utilizada para estudar o desenvolvimento do fouling e a influência da quantidade de UCO, incorporado no processo, na sua formação. Quando se compara o custo do vapor associado à operação do reboiler, quando a coluna opera com fouling (3 bar de pressão de vapor), ou sem fouling (1.5 bar de pressão de vapor), verifica-se um aumento de cerca de 58% nos custos para o caso em que o fouling é maior.Universidade de Aveiro2018-07-20T14:00:56Z2015-11-09T00:00:00Z2015-11-092017-11-02T10:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/16068engSantos, Sérgio Manuel Rodrigues dosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:29:48Zoai:ria.ua.pt:10773/16068Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:51:16.502745Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
title Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
spellingShingle Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
Santos, Sérgio Manuel Rodrigues dos
Engenharia química
Metanol - Propriedades
Regressão linear
title_short Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
title_full Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
title_fullStr Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
title_full_unstemmed Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
title_sort Characterization of the methanol recovery process at Prio Biocombustíveis S. A.
author Santos, Sérgio Manuel Rodrigues dos
author_facet Santos, Sérgio Manuel Rodrigues dos
author_role author
dc.contributor.author.fl_str_mv Santos, Sérgio Manuel Rodrigues dos
dc.subject.por.fl_str_mv Engenharia química
Metanol - Propriedades
Regressão linear
topic Engenharia química
Metanol - Propriedades
Regressão linear
description In a industrial environment, to know the process one is working with is crucial to ensure its good functioning. In the present work, developed at Prio Biocombustíveis S.A. facilities, using process data, collected during the present work, and historical process data, the methanol recovery process was characterized, having started with the characterization of key process streams. Based on the information retrieved from the stream characterization, Aspen Plus® process simulation software was used to replicate the process and perform a sensitivity analysis with the objective of accessing the relative importance of certain key process variables (reflux/feed ratio, reflux temperature, reboiler outlet temperature, methanol, glycerol and water feed compositions). The work proceeded with the application of a set of statistical tools, starting with the Principal Components Analysis (PCA) from which the interactions between process variables and their contribution to the process variability was studied. Next, the Design of Experiments (DoE) was used to acquire experimental data and, with it, create a model for the water amount in the distillate. However, the necessary conditions to perform this method were not met and so it was abandoned. The Multiple Linear Regression method (MLR) was then used with the available data, creating several empiric models for the water at distillate, the one with the highest fit having a R2 equal to 92.93% and AARD equal to 19.44%. Despite the AARD still being relatively high, the model is still adequate to make fast estimates of the distillate’s quality. As for fouling, its presence has been noticed many times during this work. Not being possible to directly measure the fouling, the reboiler inlet steam pressure was used as an indicator of the fouling growth and its growth variation with the amount of Used Cooking Oil incorporated in the whole process. Comparing the steam cost associated to the reboiler’s operation when fouling is low (1.5 bar of steam pressure) and when fouling is high (reboiler’s steam pressure of 3 bar), an increase of about 58% occurs when the fouling increases.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-09T00:00:00Z
2015-11-09
2017-11-02T10:00:00Z
2018-07-20T14:00:56Z
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.uri.fl_str_mv http://hdl.handle.net/10773/16068
url http://hdl.handle.net/10773/16068
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de Aveiro
publisher.none.fl_str_mv Universidade de Aveiro
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137562748518400