Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst

Multi-response optimization of hydrogen-rich syngas from catalytic reforming of greenhouses (methane and carbon dioxide over Calcium iron oxide supported Nickel (15 wt%Ni/CaFe2O4) catalyst was performed by varying reaction temperature(700–800 °C), feed ratio (0.4–1.0) and gas hourly space velocity (...

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Main Authors: Hossain, Mohammed Anwar, Ayodele, Bamidele V., Cheng, C. K., Khan, Maksudur R.
Format: Article
Language:English
Published: Elsevier Ltd. 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/1/Optimization%20of%20renewable%20hydrogen-rich%20syngas%20production%20from%20catalytic%20reforming%20.pdf
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spelling ump-244122019-08-28T03:19:27Z http://umpir.ump.edu.my/id/eprint/24412/ Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst Hossain, Mohammed Anwar Ayodele, Bamidele V. Cheng, C. K. Khan, Maksudur R. TP Chemical technology Multi-response optimization of hydrogen-rich syngas from catalytic reforming of greenhouses (methane and carbon dioxide over Calcium iron oxide supported Nickel (15 wt%Ni/CaFe2O4) catalyst was performed by varying reaction temperature(700–800 °C), feed ratio (0.4–1.0) and gas hourly space velocity (10,000–60,000 h−1)) using response surface methodology. Four response surface methodology (RSM) models were obtained for the prediction of reactant conversion and the product yield. The analysis of variance (ANOVA) conducted on the model showed that the parameters have significant effect on the responses. Optimum conditions for the methane dry reforming over the 15 wt%Ni/CaFe2O4 catalyst were obtained at reaction temperature, feed ratio and gas hourly space velocity (GHSV) of 832.45 °C, 0.96 and 35,000 mL g−1 h−1 respectively with overall desirability value of 0.999 resulting in the highest methane (CH4) and carbon dioxide (CO2) conversions of 85.00%, 88.00% and hydrogen (H2) and carbon monoxide (CO) yields of 77.82% and 75.76%, respectively. Elsevier Ltd. 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24412/1/Optimization%20of%20renewable%20hydrogen-rich%20syngas%20production%20from%20catalytic%20reforming%20.pdf Hossain, Mohammed Anwar and Ayodele, Bamidele V. and Cheng, C. K. and Khan, Maksudur R. (2019) Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst. Journal of the Energy Institute, 92 (1). pp. 177-194. ISSN 1743-9671 https://doi.org/10.1016/j.joei.2017.10.010 https://doi.org/10.1016/j.joei.2017.10.010
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Hossain, Mohammed Anwar
Ayodele, Bamidele V.
Cheng, C. K.
Khan, Maksudur R.
Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
description Multi-response optimization of hydrogen-rich syngas from catalytic reforming of greenhouses (methane and carbon dioxide over Calcium iron oxide supported Nickel (15 wt%Ni/CaFe2O4) catalyst was performed by varying reaction temperature(700–800 °C), feed ratio (0.4–1.0) and gas hourly space velocity (10,000–60,000 h−1)) using response surface methodology. Four response surface methodology (RSM) models were obtained for the prediction of reactant conversion and the product yield. The analysis of variance (ANOVA) conducted on the model showed that the parameters have significant effect on the responses. Optimum conditions for the methane dry reforming over the 15 wt%Ni/CaFe2O4 catalyst were obtained at reaction temperature, feed ratio and gas hourly space velocity (GHSV) of 832.45 °C, 0.96 and 35,000 mL g−1 h−1 respectively with overall desirability value of 0.999 resulting in the highest methane (CH4) and carbon dioxide (CO2) conversions of 85.00%, 88.00% and hydrogen (H2) and carbon monoxide (CO) yields of 77.82% and 75.76%, respectively.
format Article
author Hossain, Mohammed Anwar
Ayodele, Bamidele V.
Cheng, C. K.
Khan, Maksudur R.
author_facet Hossain, Mohammed Anwar
Ayodele, Bamidele V.
Cheng, C. K.
Khan, Maksudur R.
author_sort Hossain, Mohammed Anwar
title Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
title_short Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
title_full Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
title_fullStr Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
title_full_unstemmed Optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (CH4 and CO2) over calcium iron oxide supported nickel catalyst
title_sort optimization of renewable hydrogen-rich syngas production from catalytic reforming of greenhouse gases (ch4 and co2) over calcium iron oxide supported nickel catalyst
publisher Elsevier Ltd.
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/
http://umpir.ump.edu.my/id/eprint/24412/1/Optimization%20of%20renewable%20hydrogen-rich%20syngas%20production%20from%20catalytic%20reforming%20.pdf
first_indexed 2023-09-18T22:36:55Z
last_indexed 2023-09-18T22:36:55Z
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