Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization
The search of sustainable route for biofuel production from renewable biomass have garnered wide interest to seek for various routes without compromising the environment. Co-pyrolysis emerges as a promising thermochemical route that can improve the pyrolysis output from simultaneously processing mor...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal Article |
| Published: |
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/94324 |
| _version_ | 1848765856260030464 |
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| author | Tan, Isabel Jia Yen Loy, Adrian Chun Minh Chin, Bridgid Cheah, Kin Wai Teng, Sin Yong How, Bing Shen Alhazmi, Hatem Leong, Wei Dong Lim, Huei Yeong Lam, Man Kee Lam, Su Shiung |
| author_facet | Tan, Isabel Jia Yen Loy, Adrian Chun Minh Chin, Bridgid Cheah, Kin Wai Teng, Sin Yong How, Bing Shen Alhazmi, Hatem Leong, Wei Dong Lim, Huei Yeong Lam, Man Kee Lam, Su Shiung |
| author_sort | Tan, Isabel Jia Yen |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The search of sustainable route for biofuel production from renewable biomass have garnered wide interest to seek for various routes without compromising the environment. Co-pyrolysis emerges as a promising thermochemical route that can improve the pyrolysis output from simultaneously processing more than two feedstocks in an inert atmosphere. This paper focuses on the kinetic modeling and neuro-evolution optimization in the application of catalytic co-pyrolysis of microalgae and plastic waste using HZSM-5 supported on limestone (HZSM-5/LS), in which co-pyrolysis of binary mixture of microalgae and plastic wastes (i.e. High-Density Polyethylene and Low-Density Polyethylene) was investigated over different heating rates. The results have shown a positive synergistic effect between the microalgae and polyethylene in which the apparent activation energies values have reduced significantly (
20 kJ/mol) compared to that obtained by pyrolysis of individual microalgae component. The kinetic models reflect that the mixture of microalgae and Low-Density Polyethylene for use as co-pyrolysis feedstock requires activation energy that is 23% and 13% lower compared to that required by pure microalgae and the mixture of microalgae and High-Density Polyethylene, respectively. The Progressive Depth Swarm-Evolution (PDSE) was used for neural architecture search, which subsequently provided optimal reaction condition at 873 K can achieve 99.6 % of degradation rate using a tri-combination of LDPE (0.13 %) + HDPE (0.77 %) + MA (0.11 %) in the presence of HZSM-5/LS catalyst. |
| first_indexed | 2025-11-14T11:41:54Z |
| format | Journal Article |
| id | curtin-20.500.11937-94324 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:41:54Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-943242024-04-04T05:06:53Z Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization Tan, Isabel Jia Yen Loy, Adrian Chun Minh Chin, Bridgid Cheah, Kin Wai Teng, Sin Yong How, Bing Shen Alhazmi, Hatem Leong, Wei Dong Lim, Huei Yeong Lam, Man Kee Lam, Su Shiung The search of sustainable route for biofuel production from renewable biomass have garnered wide interest to seek for various routes without compromising the environment. Co-pyrolysis emerges as a promising thermochemical route that can improve the pyrolysis output from simultaneously processing more than two feedstocks in an inert atmosphere. This paper focuses on the kinetic modeling and neuro-evolution optimization in the application of catalytic co-pyrolysis of microalgae and plastic waste using HZSM-5 supported on limestone (HZSM-5/LS), in which co-pyrolysis of binary mixture of microalgae and plastic wastes (i.e. High-Density Polyethylene and Low-Density Polyethylene) was investigated over different heating rates. The results have shown a positive synergistic effect between the microalgae and polyethylene in which the apparent activation energies values have reduced significantly ( 20 kJ/mol) compared to that obtained by pyrolysis of individual microalgae component. The kinetic models reflect that the mixture of microalgae and Low-Density Polyethylene for use as co-pyrolysis feedstock requires activation energy that is 23% and 13% lower compared to that required by pure microalgae and the mixture of microalgae and High-Density Polyethylene, respectively. The Progressive Depth Swarm-Evolution (PDSE) was used for neural architecture search, which subsequently provided optimal reaction condition at 873 K can achieve 99.6 % of degradation rate using a tri-combination of LDPE (0.13 %) + HDPE (0.77 %) + MA (0.11 %) in the presence of HZSM-5/LS catalyst. 2024 Journal Article http://hdl.handle.net/20.500.11937/94324 10.1016/j.grets.2024.100077 http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | Tan, Isabel Jia Yen Loy, Adrian Chun Minh Chin, Bridgid Cheah, Kin Wai Teng, Sin Yong How, Bing Shen Alhazmi, Hatem Leong, Wei Dong Lim, Huei Yeong Lam, Man Kee Lam, Su Shiung Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title | Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title_full | Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title_fullStr | Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title_full_unstemmed | Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title_short | Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization |
| title_sort | co-pyrolysis of chlorella vulgaris with plastic wastes: thermal degradation, kinetics and progressive depth swarm-evolution (pdse) neuro network-based optimization |
| url | http://hdl.handle.net/20.500.11937/94324 |