Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission

Detalhes bibliográficos
Autor(a) principal: Olanrewaju , Folake B.
Data de Publicação: 2023
Outros Autores: Oboh , Innocent O., Adesina , Olusola A., Anyanwu, Chidebe Stanley, Ewim, Daniel Raphael Ejike
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Engenharia Química e Química
Texto Completo: https://periodicos.ufv.br/jcec/article/view/15394
Resumo: Abstract The use of coal as a source of energy for hydrogen production is desirable because it is widely available, inexpensive, and guarantees long-term availability compared to natural gas. In this study, modeling and simulation of a hydrogen production plant from coal gasification was carried out. The study also optimized process variables affecting hydrogen production for minimum carbon dioxide emissions. Modeling and simulation of a hydrogen plant was carried out using ASPEN One Suites Ver. 11 software, while optimization of process variables was done using response surface methodology (RSM). Central Composite Design (CCD) was used to design the process variables such as carbon ratio (0.715-0.75), gasification temperature (1023.15  –1223.15 K), and pressure (1-3 MPa). The independent variables for hydrogen generation and carbon dioxide emissions (CO2e-) were correlated using a quadratic model The coal gasification parameters were optimized numerically using the desirability function to maximize the hydrogen produced and minimize the CO2e-. The results reveal that gasification temperature has a greater effect on maximizing hydrogen production and carbon dioxide emission (CO2e-) reduction. Results also showed the optimal conditions for minimizing the cost and maximizing the hydrogen production: a gasification temperature of 1223.15 K, an oxygen to coal ratio of 0.715, and a gasification pressure of 1 MPa.   Keywords: Hydrogen production, optimization, ASPEN, gasification, RSM, Coal Energy.
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spelling Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide EmissionHydrogen productionoptimizationASPENgasificationRSMCoal EnergyAbstract The use of coal as a source of energy for hydrogen production is desirable because it is widely available, inexpensive, and guarantees long-term availability compared to natural gas. In this study, modeling and simulation of a hydrogen production plant from coal gasification was carried out. The study also optimized process variables affecting hydrogen production for minimum carbon dioxide emissions. Modeling and simulation of a hydrogen plant was carried out using ASPEN One Suites Ver. 11 software, while optimization of process variables was done using response surface methodology (RSM). Central Composite Design (CCD) was used to design the process variables such as carbon ratio (0.715-0.75), gasification temperature (1023.15  –1223.15 K), and pressure (1-3 MPa). The independent variables for hydrogen generation and carbon dioxide emissions (CO2e-) were correlated using a quadratic model The coal gasification parameters were optimized numerically using the desirability function to maximize the hydrogen produced and minimize the CO2e-. The results reveal that gasification temperature has a greater effect on maximizing hydrogen production and carbon dioxide emission (CO2e-) reduction. Results also showed the optimal conditions for minimizing the cost and maximizing the hydrogen production: a gasification temperature of 1223.15 K, an oxygen to coal ratio of 0.715, and a gasification pressure of 1 MPa.   Keywords: Hydrogen production, optimization, ASPEN, gasification, RSM, Coal Energy.Universidade Federal de Viçosa - UFV2023-02-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1539410.18540/jcecvl9iss1pp15394-01eThe Journal of Engineering and Exact Sciences; Vol. 9 No. 1 (2023); 15394-01eThe Journal of Engineering and Exact Sciences; Vol. 9 Núm. 1 (2023); 15394-01eThe Journal of Engineering and Exact Sciences; v. 9 n. 1 (2023); 15394-01e2527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/15394/7822Copyright (c) 2023 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOlanrewaju , Folake B.Oboh , Innocent O.Adesina , Olusola A.Anyanwu, Chidebe StanleyEwim, Daniel Raphael Ejike2023-05-24T19:21:57Zoai:ojs.periodicos.ufv.br:article/15394Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2023-05-24T19:21:57Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
title Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
spellingShingle Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
Olanrewaju , Folake B.
Hydrogen production
optimization
ASPEN
gasification
RSM
Coal Energy
title_short Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
title_full Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
title_fullStr Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
title_full_unstemmed Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
title_sort Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
author Olanrewaju , Folake B.
author_facet Olanrewaju , Folake B.
Oboh , Innocent O.
Adesina , Olusola A.
Anyanwu, Chidebe Stanley
Ewim, Daniel Raphael Ejike
author_role author
author2 Oboh , Innocent O.
Adesina , Olusola A.
Anyanwu, Chidebe Stanley
Ewim, Daniel Raphael Ejike
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Olanrewaju , Folake B.
Oboh , Innocent O.
Adesina , Olusola A.
Anyanwu, Chidebe Stanley
Ewim, Daniel Raphael Ejike
dc.subject.por.fl_str_mv Hydrogen production
optimization
ASPEN
gasification
RSM
Coal Energy
topic Hydrogen production
optimization
ASPEN
gasification
RSM
Coal Energy
description Abstract The use of coal as a source of energy for hydrogen production is desirable because it is widely available, inexpensive, and guarantees long-term availability compared to natural gas. In this study, modeling and simulation of a hydrogen production plant from coal gasification was carried out. The study also optimized process variables affecting hydrogen production for minimum carbon dioxide emissions. Modeling and simulation of a hydrogen plant was carried out using ASPEN One Suites Ver. 11 software, while optimization of process variables was done using response surface methodology (RSM). Central Composite Design (CCD) was used to design the process variables such as carbon ratio (0.715-0.75), gasification temperature (1023.15  –1223.15 K), and pressure (1-3 MPa). The independent variables for hydrogen generation and carbon dioxide emissions (CO2e-) were correlated using a quadratic model The coal gasification parameters were optimized numerically using the desirability function to maximize the hydrogen produced and minimize the CO2e-. The results reveal that gasification temperature has a greater effect on maximizing hydrogen production and carbon dioxide emission (CO2e-) reduction. Results also showed the optimal conditions for minimizing the cost and maximizing the hydrogen production: a gasification temperature of 1223.15 K, an oxygen to coal ratio of 0.715, and a gasification pressure of 1 MPa.   Keywords: Hydrogen production, optimization, ASPEN, gasification, RSM, Coal Energy.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/15394
10.18540/jcecvl9iss1pp15394-01e
url https://periodicos.ufv.br/jcec/article/view/15394
identifier_str_mv 10.18540/jcecvl9iss1pp15394-01e
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/15394/7822
dc.rights.driver.fl_str_mv Copyright (c) 2023 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 9 No. 1 (2023); 15394-01e
The Journal of Engineering and Exact Sciences; Vol. 9 Núm. 1 (2023); 15394-01e
The Journal of Engineering and Exact Sciences; v. 9 n. 1 (2023); 15394-01e
2527-1075
reponame:Revista de Engenharia Química e Química
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista de Engenharia Química e Química
collection Revista de Engenharia Química e Química
repository.name.fl_str_mv Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv jcec.journal@ufv.br||req2@ufv.br
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