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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2021
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ums.eprints.33487 |
---|---|
record_format |
eprints |
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 |
_version_ |
1760231170439643136 |
score |
13.1944895 |