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dc.contributor.authorTan, Isabel Jia Yen
dc.contributor.authorLoy, Adrian Chun Minh
dc.contributor.authorChin, Bridgid
dc.contributor.authorCheah, Kin Wai
dc.contributor.authorTeng, Sin Yong
dc.contributor.authorHow, Bing Shen
dc.contributor.authorAlhazmi, Hatem
dc.contributor.authorLeong, Wei Dong
dc.contributor.authorLim, Huei Yeong
dc.contributor.authorLam, Man Kee
dc.contributor.authorLam, Su Shiung
dc.identifier.citationTan, I.J.Y. and Loy, A.C.M. and Chin, B.L.F. and Cheah, K.W. and Teng, S.Y. and How, B.S. and Alhazmi, H. et al. 2024. Co-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization. Green Technologies and Sustainability. 2(2): 100077.

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.

dc.titleCo-pyrolysis of Chlorella vulgaris with plastic wastes: Thermal degradation, kinetics and Progressive Depth Swarm-Evolution (PDSE) neuro network-based optimization
dc.typeJournal Article
dcterms.source.titleGreen Technologies and Sustainability
curtin.departmentGlobal Curtin
curtin.accessStatusOpen access
curtin.facultyGlobal Curtin
curtin.contributor.orcidChin, Bridgid [0000-0002-6544-664X]
curtin.contributor.scopusauthoridChin, Bridgid [56052383600]

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