%0 Journal Article
%@ 09608524
%A Majid, M.
%A Chin, B.L.F.
%A Jawad, Z.A.
%A Chai, Y.H.
%A Lam, M.K.
%A Yusup, S.
%A Cheah, K.W.
%D 2021
%F scholars:14894
%I Elsevier Ltd
%J Bioresource Technology
%K Activation energy; Algae; Binary mixtures; Catalysts; Free energy; High density polyethylenes; Lime; Microorganisms; Pyrolysis; Sensitivity analysis; Thermoanalysis; Zeolites, Activation energies (Ea); Chlorella vulgaris; Global sensitivity analysis; High density polyethylene(HDPE); Latin hypercube sampling; Particle swarm optimization models; Thermo dynamic analysis; Thermo-gravimetric, Particle swarm optimization (PSO), hemicellulose; limestone; nitrogen; polyethylene; plastic, catalyst; enthalpy; entropy; experimental study; green alga; optimization; plastic; pyrolysis; reaction kinetics; thermodynamics; transformation, Article; body weight loss; catalyst; Chlorella vulgaris; computer heuristics; controlled study; decomposition; entropy; heat transfer; kinetic parameters; nonhuman; particle swarm optimization; plastic industry; plastic waste; priority journal; pyrolysis; reaction analysis; reaction temperature; sensitivity analysis; shift to the right; thermodynamics; thermogravimetry; velocity; catalysis; kinetics; pyrolysis, Chlorella vulgaris, Catalysis; Chlorella vulgaris; Kinetics; Plastics; Pyrolysis; Thermogravimetry
%R 10.1016/j.biortech.2021.124874
%T Particle swarm optimization and global sensitivity analysis for catalytic co-pyrolysis of Chlorella vulgaris and plastic waste mixtures
%U https://khub.utp.edu.my/scholars/14894/
%V 329
%X This study investigated on the co-pyrolysis of microalgae Chlorella vulgaris and high-density polyethylene (HDPE) waste mixtures which was performed with three types of catalysts, namely limestone (LS), HZSM-5 zeolite, and novel bi-functional LS/HZSM-5/LS. Kissinger-Kai (K-K) model-free method was coupled with Particle Swarm Optimization (PSO) model-fitting method using the thermogravimetric experimental data. A global sensitivity analysis was carried out using Latin Hypercube Sampling and rank transformation to assess the extent of impact of the input kinetic parameters on the output results. Furthermore, a thermodynamic analysis was performed to obtain parameters such as enthalpy change (�H), Gibb's free energy (�G), and entropy change (�S). The activation energy (EA) of the microalgae Chlorella vulgaris and HDPE binary mixture were found to be lower upon the addition of catalysts. Among the catalyst used, bi-functional LS/HZSM-5 catalyst exhibited the lowest EA (83.59 kJ/mol) and �H (78 kJ/mol) as compared to LS and HZSM-5 catalysts. © 2021 Elsevier Ltd
%Z cited By 28