eprintid: 14894
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/48/94
datestamp: 2023-11-10 03:29:29
lastmod: 2023-11-10 03:29:29
status_changed: 2023-11-10 01:58:06
type: article
metadata_visibility: show
creators_name: Majid, M.
creators_name: Chin, B.L.F.
creators_name: Jawad, Z.A.
creators_name: Chai, Y.H.
creators_name: Lam, M.K.
creators_name: Yusup, S.
creators_name: Cheah, K.W.
title: Particle swarm optimization and global sensitivity analysis for catalytic co-pyrolysis of Chlorella vulgaris and plastic waste mixtures
ispublished: pub
keywords: 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
note: cited By 28
abstract: 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
date: 2021
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101545658&doi=10.1016%2fj.biortech.2021.124874&partnerID=40&md5=e020dd7031e8d6ead80d627c547b7e48
id_number: 10.1016/j.biortech.2021.124874
full_text_status: none
publication: Bioresource Technology
volume: 329
refereed: TRUE
issn: 09608524
citation:   Majid, M. and Chin, B.L.F. and Jawad, Z.A. and Chai, Y.H. and Lam, M.K. and Yusup, S. and Cheah, K.W.  (2021) Particle swarm optimization and global sensitivity analysis for catalytic co-pyrolysis of Chlorella vulgaris and plastic waste mixtures.  Bioresource Technology, 329.   ISSN 09608524