Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus

Detalhes bibliográficos
Autor(a) principal: Echevarria Huamán, Ruth Nataly
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Labor & Engenho (Online)
Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8649743
Resumo: The World Energy consumption has been increasing steadily since industrialization, this recent increase is also the major cause for the raise of CO2 concentration in the atmosphere. Fossil fuels play a central role in our energy consumption; actually the CCS technology and their operations in power systems must get a prominent role in reducing total CO2 emissions.An attempt to tackle the problem of solvent based Post Combustion Carbon Capture process optimization requires the availability of a rigorous process model along with a design methodology. During the modeling, much physical and chemical process should be considered in order to get more realistic results, this complexity process addressed as Reactive Separation.This report presents detailed descriptions of the process sections as well as technical documentation for the ASPEN Plus simulations including the design basis, models employed, key assumptions, design parameters, convergence algorithms, concentration and temperature profiles and calculated outputs. The main purpose is to minimize the amount of energy required in the desorption process through the optimum operating condition to the actual CO2 absorption experimental setup. The case of study is on MEA 30wt% in a coal fired power plant. Electrolytic method is considered; the sensitive analysis was used for the Optimization. 
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spelling Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plusOptimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plusCoal Fuel. Global Energy. Post-combustion. Carbon capture Amine absorption simulation. Sensitive Analysis.Coal Fuel. Global energy. Post-combustion. Carbon capture amine absorption simulation. Sensitive analysis.The World Energy consumption has been increasing steadily since industrialization, this recent increase is also the major cause for the raise of CO2 concentration in the atmosphere. Fossil fuels play a central role in our energy consumption; actually the CCS technology and their operations in power systems must get a prominent role in reducing total CO2 emissions.An attempt to tackle the problem of solvent based Post Combustion Carbon Capture process optimization requires the availability of a rigorous process model along with a design methodology. During the modeling, much physical and chemical process should be considered in order to get more realistic results, this complexity process addressed as Reactive Separation.This report presents detailed descriptions of the process sections as well as technical documentation for the ASPEN Plus simulations including the design basis, models employed, key assumptions, design parameters, convergence algorithms, concentration and temperature profiles and calculated outputs. The main purpose is to minimize the amount of energy required in the desorption process through the optimum operating condition to the actual CO2 absorption experimental setup. The case of study is on MEA 30wt% in a coal fired power plant. Electrolytic method is considered; the sensitive analysis was used for the Optimization. The World Energy consumption has been increasing steadily since industrialization, this recent increase is also the major cause for the raise of CO2 concentration in the atmosphere. Fossil fuels play a central role in our energy consumption; actually the CCS technology and their operations in power systems must get a prominent role in reducing total CO2 emissions. An attempt to tackle the problem of solvent based Post Combustion Carbon Capture process optimization requires the availability of a rigorous process model along with a design methodology. During the modeling, much physical and chemical process should be considered in order to get more realistic results, this complexity process addressed as Reactive Separation. This report presents detailed descriptions of the process sections as well as technical documentation for the ASPEN Plus simulations including the design basis, models employed, key assumptions, design parameters, convergence algorithms, concentration and temperature profiles and calculated outputs. The main purpose is to minimize the amount of energy required in the desorption process through the optimum operating condition to the actual CO2 absorption experimental setup. The case of study is on MEA 30wt% in a coal Hired power plant. Electrolytic method is considered; the sensitive analysis was used for the Optimization.Universidade Estadual de Campinas2017-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnalytical ResearchPesquisa teóricaapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/864974310.20396/labore.v11i2.8649743Labor e Engenho; Vol. 11 No. 2 (2017): abr./jun.; 191-207Labor e Engenho; Vol. 11 Núm. 2 (2017): abr./jun.; 191-207Labor e Engenho; v. 11 n. 2 (2017): abr./jun.; 191-2072176-8846reponame:Labor & Engenho (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8649743/16200Copyright (c) 2017 Labor e Engenhoinfo:eu-repo/semantics/openAccessEchevarria Huamán, Ruth Nataly2017-06-30T13:05:31Zoai:ojs.periodicos.sbu.unicamp.br:article/8649743Revistahttp://periodicos.sbu.unicamp.br/ojs/index.php/laborePUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/labore/oai||argollo@fec.unicamp.br2176-88461981-1152opendoar:2017-06-30T13:05:31Labor & Engenho (Online) - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
title Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
spellingShingle Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
Echevarria Huamán, Ruth Nataly
Coal Fuel. Global Energy. Post-combustion. Carbon capture Amine absorption simulation. Sensitive Analysis.
Coal Fuel. Global energy. Post-combustion. Carbon capture amine absorption simulation. Sensitive analysis.
title_short Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
title_full Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
title_fullStr Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
title_full_unstemmed Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
title_sort Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
author Echevarria Huamán, Ruth Nataly
author_facet Echevarria Huamán, Ruth Nataly
author_role author
dc.contributor.author.fl_str_mv Echevarria Huamán, Ruth Nataly
dc.subject.por.fl_str_mv Coal Fuel. Global Energy. Post-combustion. Carbon capture Amine absorption simulation. Sensitive Analysis.
Coal Fuel. Global energy. Post-combustion. Carbon capture amine absorption simulation. Sensitive analysis.
topic Coal Fuel. Global Energy. Post-combustion. Carbon capture Amine absorption simulation. Sensitive Analysis.
Coal Fuel. Global energy. Post-combustion. Carbon capture amine absorption simulation. Sensitive analysis.
description The World Energy consumption has been increasing steadily since industrialization, this recent increase is also the major cause for the raise of CO2 concentration in the atmosphere. Fossil fuels play a central role in our energy consumption; actually the CCS technology and their operations in power systems must get a prominent role in reducing total CO2 emissions.An attempt to tackle the problem of solvent based Post Combustion Carbon Capture process optimization requires the availability of a rigorous process model along with a design methodology. During the modeling, much physical and chemical process should be considered in order to get more realistic results, this complexity process addressed as Reactive Separation.This report presents detailed descriptions of the process sections as well as technical documentation for the ASPEN Plus simulations including the design basis, models employed, key assumptions, design parameters, convergence algorithms, concentration and temperature profiles and calculated outputs. The main purpose is to minimize the amount of energy required in the desorption process through the optimum operating condition to the actual CO2 absorption experimental setup. The case of study is on MEA 30wt% in a coal fired power plant. Electrolytic method is considered; the sensitive analysis was used for the Optimization. 
publishDate 2017
dc.date.none.fl_str_mv 2017-06-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Analytical Research
Pesquisa teórica
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8649743
10.20396/labore.v11i2.8649743
url https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8649743
identifier_str_mv 10.20396/labore.v11i2.8649743
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/labore/article/view/8649743/16200
dc.rights.driver.fl_str_mv Copyright (c) 2017 Labor e Engenho
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Labor e Engenho
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Campinas
publisher.none.fl_str_mv Universidade Estadual de Campinas
dc.source.none.fl_str_mv Labor e Engenho; Vol. 11 No. 2 (2017): abr./jun.; 191-207
Labor e Engenho; Vol. 11 Núm. 2 (2017): abr./jun.; 191-207
Labor e Engenho; v. 11 n. 2 (2017): abr./jun.; 191-207
2176-8846
reponame:Labor & Engenho (Online)
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Labor & Engenho (Online)
collection Labor & Engenho (Online)
repository.name.fl_str_mv Labor & Engenho (Online) - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv ||argollo@fec.unicamp.br
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