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Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction

Developed countries are increasing their demand for natural gas as it is an industrial requirement for fuel transportation. Most of modern society relies heavily on vehicles. However, the presence of CO2 gas has led to the categorization of sour natural gas which reduces the quality and price of nat...

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Main Authors: Salmiah Jamal, Mat Rosid, Azman, Azid, Aisyah Fathiah, Ahmad, Nursyamimi, Zulkurnain, Susilawati, Toemen, Wan Azelee, Wan Abu Bakar, Ahmad Zamani, Ab Halim, Wan Nur Aini, Wan Mokhtar, Sarina, Mat Rosid
Format: Article
Language:English
Published: Korean Society of Environmental Engineers 2023
Subjects:
HD28 Management. Industrial Management
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/38257/1/Optimization%20and%20physicochemical%20studies%20of%20alumina%20supported%20samarium%20oxide%20based%20catalysts%20using%20artificial.pdf
http://umpir.ump.edu.my/id/eprint/38257/
https://doi.org/10.4491/eer.2021.455
https://doi.org/10.4491/eer.2021.455
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spelling my.ump.umpir.382572023-10-02T07:15:24Z http://umpir.ump.edu.my/id/eprint/38257/ Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction Salmiah Jamal, Mat Rosid Azman, Azid Aisyah Fathiah, Ahmad Nursyamimi, Zulkurnain Susilawati, Toemen Wan Azelee, Wan Abu Bakar Ahmad Zamani, Ab Halim Wan Nur Aini, Wan Mokhtar Sarina, Mat Rosid HD28 Management. Industrial Management Q Science (General) T Technology (General) Developed countries are increasing their demand for natural gas as it is an industrial requirement for fuel transportation. Most of modern society relies heavily on vehicles. However, the presence of CO2 gas has led to the categorization of sour natural gas which reduces the quality and price of natural gas. Therefore, the catalytic methanation technique was applied to convert carbon dioxide (CO2) to methane (CH4) gas and reduce the emissions of CO2 within the environment. In this study, samarium oxide supported on alumina doped with ruthenium and manganese was synthesized via wet impregnation. X-ray diffraction (XRD) analysis revealed samarium oxide, Sm2O3 and manganese oxide, MnO2 as an active species. The reduction temperature for active species was at a low reaction temperature, 268.2oC with medium basicity site as in Temperature Programme Reduction (TPR) and Temperature Programme Desorption (TPD) analyses. Field Emission Scanning Electron Microscopy (FESEM) analysis showed an agglomeration of particle size. The characterised potential catalyst of Ru/Mn/Sm (5:35:60)/Al2O3 (RMS 5:35:60) calcined at 1,000oC revealed 100% conversion of CO2 with 68.87% CH4 formation at the reaction temperature of 400oC. These results were verified by artificial neural network (ANN) with validation R2 of 0.99 indicating all modelling data are acceptable. Korean Society of Environmental Engineers 2023 Article PeerReviewed pdf en cc_by_nc http://umpir.ump.edu.my/id/eprint/38257/1/Optimization%20and%20physicochemical%20studies%20of%20alumina%20supported%20samarium%20oxide%20based%20catalysts%20using%20artificial.pdf Salmiah Jamal, Mat Rosid and Azman, Azid and Aisyah Fathiah, Ahmad and Nursyamimi, Zulkurnain and Susilawati, Toemen and Wan Azelee, Wan Abu Bakar and Ahmad Zamani, Ab Halim and Wan Nur Aini, Wan Mokhtar and Sarina, Mat Rosid (2023) Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction. Environmental Engineering Research, 28 (210455). pp. 1-10. ISSN 1226-1025. (Published) https://doi.org/10.4491/eer.2021.455 https://doi.org/10.4491/eer.2021.455
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD28 Management. Industrial Management
Q Science (General)
T Technology (General)
spellingShingle HD28 Management. Industrial Management
Q Science (General)
T Technology (General)
Salmiah Jamal, Mat Rosid
Azman, Azid
Aisyah Fathiah, Ahmad
Nursyamimi, Zulkurnain
Susilawati, Toemen
Wan Azelee, Wan Abu Bakar
Ahmad Zamani, Ab Halim
Wan Nur Aini, Wan Mokhtar
Sarina, Mat Rosid
Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
description Developed countries are increasing their demand for natural gas as it is an industrial requirement for fuel transportation. Most of modern society relies heavily on vehicles. However, the presence of CO2 gas has led to the categorization of sour natural gas which reduces the quality and price of natural gas. Therefore, the catalytic methanation technique was applied to convert carbon dioxide (CO2) to methane (CH4) gas and reduce the emissions of CO2 within the environment. In this study, samarium oxide supported on alumina doped with ruthenium and manganese was synthesized via wet impregnation. X-ray diffraction (XRD) analysis revealed samarium oxide, Sm2O3 and manganese oxide, MnO2 as an active species. The reduction temperature for active species was at a low reaction temperature, 268.2oC with medium basicity site as in Temperature Programme Reduction (TPR) and Temperature Programme Desorption (TPD) analyses. Field Emission Scanning Electron Microscopy (FESEM) analysis showed an agglomeration of particle size. The characterised potential catalyst of Ru/Mn/Sm (5:35:60)/Al2O3 (RMS 5:35:60) calcined at 1,000oC revealed 100% conversion of CO2 with 68.87% CH4 formation at the reaction temperature of 400oC. These results were verified by artificial neural network (ANN) with validation R2 of 0.99 indicating all modelling data are acceptable.
format Article
author Salmiah Jamal, Mat Rosid
Azman, Azid
Aisyah Fathiah, Ahmad
Nursyamimi, Zulkurnain
Susilawati, Toemen
Wan Azelee, Wan Abu Bakar
Ahmad Zamani, Ab Halim
Wan Nur Aini, Wan Mokhtar
Sarina, Mat Rosid
author_facet Salmiah Jamal, Mat Rosid
Azman, Azid
Aisyah Fathiah, Ahmad
Nursyamimi, Zulkurnain
Susilawati, Toemen
Wan Azelee, Wan Abu Bakar
Ahmad Zamani, Ab Halim
Wan Nur Aini, Wan Mokhtar
Sarina, Mat Rosid
author_sort Salmiah Jamal, Mat Rosid
title Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
title_short Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
title_full Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
title_fullStr Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
title_full_unstemmed Optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
title_sort optimization and physicochemical studies of alumina supported samarium oxide based catalysts using artificial neural network in methanation reaction
publisher Korean Society of Environmental Engineers
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38257/1/Optimization%20and%20physicochemical%20studies%20of%20alumina%20supported%20samarium%20oxide%20based%20catalysts%20using%20artificial.pdf
http://umpir.ump.edu.my/id/eprint/38257/
https://doi.org/10.4491/eer.2021.455
https://doi.org/10.4491/eer.2021.455
_version_ 1822923617474707456
score 13.23648

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