Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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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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 |
_version_ |
1800211186744033280 |