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Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis

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dc.citedby4
dc.contributor.authorAlamoodi A.H.en_US
dc.contributor.authorGarfan S.en_US
dc.contributor.authorAl-Zuhairi O.en_US
dc.contributor.authorZaidan B.B.en_US
dc.contributor.authorZaidan A.A.en_US
dc.contributor.authorAlbahri O.S.en_US
dc.contributor.authorY.Y. Ahmaro I.en_US
dc.contributor.authorAlbahri A.S.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorMagableh A.A.en_US
dc.contributor.authorid57205435311en_US
dc.contributor.authorid57213826607en_US
dc.contributor.authorid57201747096en_US
dc.contributor.authorid35070872100en_US
dc.contributor.authorid58789685700en_US
dc.contributor.authorid57201013684en_US
dc.contributor.authorid56644806700en_US
dc.contributor.authorid57201009814en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid55515383700en_US
dc.date.accessioned2025-03-03T07:42:50Z
dc.date.available2025-03-03T07:42:50Z
dc.date.issued2024
dc.description.abstractBiodiesel has gained tremendous attention from researchers due to its environmentally friendly and renewable fuel manufactured domestically from vegetable oils or animal fats. Multiple factors, including emission and fuel efficiency, measure the performance of biodiesel. These characteristics make the process of evaluation and benchmarking a multi-criteria decision-making (MCDM) problem. This research attempts to survey the literature for multi-criteria decision-making applications on biodiesel. This systematic review was carried out on four scientific databases: PubMed, ScienceDirect, IEEE Xplore, and WoS. The collected articles were summarized and mapped into a coherent taxonomy, while the main challenges, motivations, and recommendations were collected and categorized for better understanding and finding out essential characteristics. The final set of included articles was 33, and they were categorized into six different categories. Most articles (n=15/33) investigated the evaluation and selection of biodiesel alternatives using MCDM. Furthermore, a state-of-art bibliometric analysis is provided. The analysis demonstrates several challenges in this area, such as source selection, optimum fuel blending, and uncertainty. This article is expected to assist future researchers in addressing the current gaps and contribute to advancing this area. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo108023
dc.identifier.doi10.1016/j.engappai.2024.108023
dc.identifier.scopus2-s2.0-85186265291
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186265291&doi=10.1016%2fj.engappai.2024.108023&partnerID=40&md5=853077fbeb8521a56d5fe00771d3507c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36519
dc.identifier.volume133
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEngineering Applications of Artificial Intelligence
dc.subjectBlending
dc.subjectDecision making
dc.subjectFuel oils
dc.subjectOils and fats
dc.subjectUncertainty analysis
dc.subjectAnimal fat
dc.subjectClean energy
dc.subjectEnvironmentally friendly fuels
dc.subjectGap analysis
dc.subjectMulti criteria decision-making
dc.subjectMulti-criteria decision analysis
dc.subjectMulticriteria decision-making
dc.subjectMulticriterion decision makings
dc.subjectRenewable fuels
dc.subjectSystematic Review
dc.subjectBiodiesel
dc.titleExploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysisen_US
dc.typeShort surveyen_US
dspace.entity.typePublication
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