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Modelling and optimization of biomass supply chain for bioenergy production

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dc.citedby13
dc.contributor.authorSalleh S.F.en_US
dc.contributor.authorGunawan M.F.en_US
dc.contributor.authorZulkarnain M.F.B.en_US
dc.contributor.authorShamsuddin A.H.en_US
dc.contributor.authorAbdullah T.A.R.T.en_US
dc.contributor.authorid56367343500en_US
dc.contributor.authorid57212032773en_US
dc.contributor.authorid55812263900en_US
dc.contributor.authorid35779071900en_US
dc.contributor.authorid56594684600en_US
dc.date.accessioned2023-05-29T07:28:38Z
dc.date.available2023-05-29T07:28:38Z
dc.date.issued2019
dc.description.abstractBiomass utilization in the generation of bioenergy and biofuels is promoted as a sustainable solution to decarbonise the energy sector. Effective management of biomass supply chain is pivotal to successful deployment of this energy-rich resource in the power sector. Using a case study in Malaysia where biomass feedstock sourcing problem is prevalent, a biomass supply chain system was proposed. Three important terminals were identified, namely; i) biomass supply point (BSP), where raw biomass materials are collected, ii) biomass processing facility (BPF), as the collection hub cum centralized conversion centre, and iii) biomass demand centre (BDC), where the processed biomass meets the end-use sectors. A new modelling approach was proposed to optimize the new BPF location with the objective to minimize total road travelling distance between each terminal. The results were compared with the other commonly used methods, namely centre of gravity and fuzzy clustering. The positive contributions of the proposed model in minimizing the overall logistic cost and CO2 emissions due to fuel consumption were discussed. � 2019, Dorma Journals. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage695
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85075796012
dc.identifier.spage689
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075796012&partnerID=40&md5=393923886649c580d1c0cdc0848a66b5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24908
dc.identifier.volume7
dc.publisherDorma Journalsen_US
dc.sourceScopus
dc.sourcetitleJournal of Environmental Treatment Techniques
dc.titleModelling and optimization of biomass supply chain for bioenergy productionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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