Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission
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 carrie...
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Universidade Federal de Viçosa (UFV)
2023-02-01
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Series: | The Journal of Engineering and Exact Sciences |
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Online Access: | https://periodicos.ufv.br/jcec/article/view/15394 |
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author | Folake B. Olanrewaju Innocent O. Oboh Olusola A. Adesina Chidebe Stanley Anyanwu Daniel Raphael Ejike Ewim |
author_facet | Folake B. Olanrewaju Innocent O. Oboh Olusola A. Adesina Chidebe Stanley Anyanwu Daniel Raphael Ejike Ewim |
author_sort | Folake B. Olanrewaju |
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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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format | Article |
id | doaj-art-613952a849b8451c9584cf55e1fa6268 |
institution | Kabale University |
issn | 2527-1075 |
language | English |
publishDate | 2023-02-01 |
publisher | Universidade Federal de Viçosa (UFV) |
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series | The Journal of Engineering and Exact Sciences |
spelling | doaj-art-613952a849b8451c9584cf55e1fa62682025-02-02T19:55:24ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752023-02-019110.18540/jcecvl9iss1pp15394-01eModelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide EmissionFolake B. Olanrewaju 0Innocent O. Oboh 1Olusola A. Adesina 2Chidebe Stanley Anyanwu3Daniel Raphael Ejike Ewim4Department of Chemical and Petroleum Engineering, University of Uyo, Uyo, NigeriaDepartment of Chemical and Petroleum Engineering, University of Uyo, Uyo, Nigeria Department of Chemical and Petroleum Engineering, Afe Babalola UniversityDepartment of Civil and Mechanical Engineering Purdue University IN, USADepartment of Mechanical Engineering Durban University of Technology South Africa 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. https://periodicos.ufv.br/jcec/article/view/15394Hydrogen productionoptimizationASPENgasificationRSMCoal Energy |
spellingShingle | Folake B. Olanrewaju Innocent O. Oboh Olusola A. Adesina Chidebe Stanley Anyanwu Daniel Raphael Ejike Ewim Modelling And Simulation Of Hydrogen Production Plant for Minimum Carbon Dioxide Emission The Journal of Engineering and Exact Sciences Hydrogen production optimization ASPEN gasification RSM Coal Energy |
title | 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_short | 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 |
topic | Hydrogen production optimization ASPEN gasification RSM Coal Energy |
url | https://periodicos.ufv.br/jcec/article/view/15394 |
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