Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches

Gasification is one of the thermochemical pathways of biomass conversion that produces synthesis gas, tar, and char. This study aims to convert algal residues via gasification at different operating conditions; temperature, equivalence ratio, and biomass loading. The study was carried out in 3 steps...

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Main Authors: M.S.N. Atikah, Yap, Taufiq Yun Hin, R.A. Ilyas, Razif Harun
Format: Conference or Workshop Item
Language:English
English
Published: 2021
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Online Access:https://eprints.ums.edu.my/id/eprint/33487/1/Optimization%20of%20Algae%20Residues%20Gasification.pdf
https://eprints.ums.edu.my/id/eprint/33487/2/Optimization%20of%20Algae%20Residues%20Gasification1.pdf
https://eprints.ums.edu.my/id/eprint/33487/
https://iopscience.iop.org/article/10.1088/1742-6596/2259/1/012012/meta
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spelling my.ums.eprints.334872022-08-08T00:29:15Z https://eprints.ums.edu.my/id/eprint/33487/ Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches M.S.N. Atikah Yap, Taufiq Yun Hin R.A. Ilyas Razif Harun TP1-1185 Chemical technology Gasification is one of the thermochemical pathways of biomass conversion that produces synthesis gas, tar, and char. This study aims to convert algal residues via gasification at different operating conditions; temperature, equivalence ratio, and biomass loading. The study was carried out in 3 steps; (1) testing the outcomes of temperature and loading effects on synthesis gas yield, (2) experimental optimization of gasification via Design Expert, and (3) theoretical optimization of gasification via Aspen Plus simulation. Temperature and equivalence ratio highly influenced synthesis gas composition, while loading demonstrated less effect on the synthesis gas composition. The experimental and simulated gasification outcomes were compared to obtain optimized conditions that produce high H2 and CO yields. The data were validated using root mean square error. The optimized temperature, loading, and equivalence ratio were found for both algal residues that produced 36.38 and 13.28mol% of H2 and CO, respectively for lipid extracted algae (LEA) and 47.99 and 26.05mol% of H2 and CO, respectively for fucoidan extracted seaweeds (FEA). There was a considerable variation between experimental and simulated data due to the simulation and experimental limitations. The average Carbon Conversion Efficiency values were 66.36 and 80.42% for LEA and FES, respectively, denoting that LEA produced less carbon-containing products, while FES produced more carbon containing products. In conclusion, LEA gasification yielded more H2 while FEA produced more CO. 2021 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/33487/1/Optimization%20of%20Algae%20Residues%20Gasification.pdf text en https://eprints.ums.edu.my/id/eprint/33487/2/Optimization%20of%20Algae%20Residues%20Gasification1.pdf M.S.N. Atikah and Yap, Taufiq Yun Hin and R.A. Ilyas and Razif Harun (2021) Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches. In: 9th Conference on Emerging Energy & Process Technology 2021 (CONCEPT 2021), 24-25 November 2021, Johor Bahru, Malaysia. https://iopscience.iop.org/article/10.1088/1742-6596/2259/1/012012/meta
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic TP1-1185 Chemical technology
spellingShingle TP1-1185 Chemical technology
M.S.N. Atikah
Yap, Taufiq Yun Hin
R.A. Ilyas
Razif Harun
Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
description Gasification is one of the thermochemical pathways of biomass conversion that produces synthesis gas, tar, and char. This study aims to convert algal residues via gasification at different operating conditions; temperature, equivalence ratio, and biomass loading. The study was carried out in 3 steps; (1) testing the outcomes of temperature and loading effects on synthesis gas yield, (2) experimental optimization of gasification via Design Expert, and (3) theoretical optimization of gasification via Aspen Plus simulation. Temperature and equivalence ratio highly influenced synthesis gas composition, while loading demonstrated less effect on the synthesis gas composition. The experimental and simulated gasification outcomes were compared to obtain optimized conditions that produce high H2 and CO yields. The data were validated using root mean square error. The optimized temperature, loading, and equivalence ratio were found for both algal residues that produced 36.38 and 13.28mol% of H2 and CO, respectively for lipid extracted algae (LEA) and 47.99 and 26.05mol% of H2 and CO, respectively for fucoidan extracted seaweeds (FEA). There was a considerable variation between experimental and simulated data due to the simulation and experimental limitations. The average Carbon Conversion Efficiency values were 66.36 and 80.42% for LEA and FES, respectively, denoting that LEA produced less carbon-containing products, while FES produced more carbon containing products. In conclusion, LEA gasification yielded more H2 while FEA produced more CO.
format Conference or Workshop Item
author M.S.N. Atikah
Yap, Taufiq Yun Hin
R.A. Ilyas
Razif Harun
author_facet M.S.N. Atikah
Yap, Taufiq Yun Hin
R.A. Ilyas
Razif Harun
author_sort M.S.N. Atikah
title Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
title_short Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
title_full Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
title_fullStr Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
title_full_unstemmed Optimization of Algae Residues Gasification: Experimental and Theoretical Approaches
title_sort optimization of algae residues gasification: experimental and theoretical approaches
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/33487/1/Optimization%20of%20Algae%20Residues%20Gasification.pdf
https://eprints.ums.edu.my/id/eprint/33487/2/Optimization%20of%20Algae%20Residues%20Gasification1.pdf
https://eprints.ums.edu.my/id/eprint/33487/
https://iopscience.iop.org/article/10.1088/1742-6596/2259/1/012012/meta
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score 13.1944895