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

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

Biodiesel 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 t...

Full description

Saved in:

Bibliographic Details
Main Authors:	Alamoodi A.H., Garfan S., Al-Zuhairi O., Zaidan B.B., Zaidan A.A., Albahri O.S., Y.Y. Ahmaro I., Albahri A.S., Yussof S., Magableh A.A.
Other Authors:	57205435311
Format:	Short survey
Published:	Elsevier Ltd 2025
Subjects:	Blending Decision making Fuel oils Oils and fats Uncertainty analysis Animal fat Clean energy Environmentally friendly fuels Gap analysis Multi criteria decision-making Multi-criteria decision analysis Multicriteria decision-making Multicriterion decision makings Renewable fuels Systematic Review Biodiesel
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-36519
record_format	dspace
spelling	my.uniten.dspace-365192025-03-03T15:42:50Z Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis Alamoodi A.H. Garfan S. Al-Zuhairi O. Zaidan B.B. Zaidan A.A. Albahri O.S. Y.Y. Ahmaro I. Albahri A.S. Yussof S. Magableh A.A. 57205435311 57213826607 57201747096 35070872100 58789685700 57201013684 56644806700 57201009814 16023225600 55515383700 Blending Decision making Fuel oils Oils and fats Uncertainty analysis Animal fat Clean energy Environmentally friendly fuels Gap analysis Multi criteria decision-making Multi-criteria decision analysis Multicriteria decision-making Multicriterion decision makings Renewable fuels Systematic Review Biodiesel Biodiesel 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 Ltd Final 2025-03-03T07:42:50Z 2025-03-03T07:42:50Z 2024 Short survey 10.1016/j.engappai.2024.108023 2-s2.0-85186265291 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186265291&doi=10.1016%2fj.engappai.2024.108023&partnerID=40&md5=853077fbeb8521a56d5fe00771d3507c https://irepository.uniten.edu.my/handle/123456789/36519 133 108023 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Blending Decision making Fuel oils Oils and fats Uncertainty analysis Animal fat Clean energy Environmentally friendly fuels Gap analysis Multi criteria decision-making Multi-criteria decision analysis Multicriteria decision-making Multicriterion decision makings Renewable fuels Systematic Review Biodiesel
spellingShingle	Blending Decision making Fuel oils Oils and fats Uncertainty analysis Animal fat Clean energy Environmentally friendly fuels Gap analysis Multi criteria decision-making Multi-criteria decision analysis Multicriteria decision-making Multicriterion decision makings Renewable fuels Systematic Review Biodiesel Alamoodi A.H. Garfan S. Al-Zuhairi O. Zaidan B.B. Zaidan A.A. Albahri O.S. Y.Y. Ahmaro I. Albahri A.S. Yussof S. Magableh A.A. Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
description	Biodiesel 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 Ltd
author2	57205435311
author_facet	57205435311 Alamoodi A.H. Garfan S. Al-Zuhairi O. Zaidan B.B. Zaidan A.A. Albahri O.S. Y.Y. Ahmaro I. Albahri A.S. Yussof S. Magableh A.A.
format	Short survey
author	Alamoodi A.H. Garfan S. Al-Zuhairi O. Zaidan B.B. Zaidan A.A. Albahri O.S. Y.Y. Ahmaro I. Albahri A.S. Yussof S. Magableh A.A.
author_sort	Alamoodi A.H.
title	Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
title_short	Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
title_full	Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
title_fullStr	Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
title_full_unstemmed	Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
title_sort	exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: a systematic review and gap analysis
publisher	Elsevier Ltd
publishDate	2025
_version_	1825816185350914048
score	13.244109

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

Similar Items