Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus
Autor(a) principal: | |
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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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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 |
_version_ |
1809730501643075584 |