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Hydrogen storage station location selection in sustainable freight transportation via intuitionistic hesitant decision support system

dc.creatorKokkinos K., Nathanail E., Gerogiannis V., Moustakas K., Karayannis V.en
dc.date.accessioned2023-01-31T08:43:31Z
dc.date.available2023-01-31T08:43:31Z
dc.date.issued2022
dc.identifier10.1016/j.energy.2022.125008
dc.identifier.issn03605442
dc.identifier.urihttp://hdl.handle.net/11615/74951
dc.description.abstractIncreasingly fierce competition in energy industry for alternative fuels has raised demand for fuel storage stations to be one of the pivots towards sustainable urban freight transportation. For zero-emission hydrogen-powered vehicles, these demands focus mostly on storage capacity and refueling-station location selection to maximize freight forwarding efficiency in major urban regions. This research proposes a Decision Support System (DSS) for hydrogen storage station location selection based on Intuitionistic Hesitant Fuzzy (IHF) methodologies. An ensemble of four methods were analyzed and applied for the use case of Larissa city urban region, central Greece. Fifteen evaluation criteria were imposed by experts from the transportation department and the local competent authorities, spanning to hydrogen infrastructure, socioeconomics and fleet and road network. Scenarios such as energy efficiency, pollution prevention and public acceptance in conjunction to the risk and safety considerations play a critical role in the process. All qualitative indicators were represented by triangular intuitionistic fuzzy numbers. The ensemble produced the same ranking indicating the Steiner point locations of the imposed communication tree on the road network as the most preferable scenario. © 2022 Elsevier Ltden
dc.language.isoenen
dc.sourceEnergyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85136510699&doi=10.1016%2fj.energy.2022.125008&partnerID=40&md5=5cc4fd1bc2514686f2ff0a58aebf0126
dc.subjectAlternative fuelsen
dc.subjectArtificial intelligenceen
dc.subjectCompetitionen
dc.subjectDecision support systemsen
dc.subjectEnergy efficiencyen
dc.subjectFleet operationsen
dc.subjectFreight transportationen
dc.subjectFuel cellsen
dc.subjectFuzzy setsen
dc.subjectHydrogen storageen
dc.subjectLocationen
dc.subjectRisk perceptionen
dc.subjectRoads and streetsen
dc.subjectUrban transportationen
dc.subjectFreighten
dc.subjectFuzzy logic (intuitionisticen
dc.subjectFuzzy-Logicen
dc.subjectHesitant)en
dc.subjectLocation selectionen
dc.subjectRoad networken
dc.subjectStation locationen
dc.subjectSustainable transportationen
dc.subjectUrban regionsen
dc.subjectZero emissionen
dc.subjectFuzzy logicen
dc.subjectdecision support systemen
dc.subjectenergy storageen
dc.subjectfreight transporten
dc.subjectpollution controlen
dc.subjecttransportation modeen
dc.subjectGreeceen
dc.subjectLarissaen
dc.subjectThessalyen
dc.subjectElsevier Ltden
dc.titleHydrogen storage station location selection in sustainable freight transportation via intuitionistic hesitant decision support systemen
dc.typejournalArticleen


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