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Energies 2016,9, 270
Figure7.Sensitivityanalysis resultsof thesub-criteria in theenvironmentgroup.
Figure8.Sensitivityanalysis resultsof thesub-criteria in the technologygroup.
Aboveall, electricvehiclechargingstationA3alwayssecures itsbest ranking,nomatterhowthe
sub-criteriaweightschange. It canbeverifiedthat theoptimalEVCSsitingresultsusingGRA-VIKOR
andcombinationweightingtechniques is robustandeffective. Thisstudycandistinguishthepriorities
ofalternativesmoreeasily,andthushelpdecisionmakersevaluateandidentify thebestalternative
andmore improvement items.
8.Conclusions
Acomprehensive framework for selecting theoptimal site forEVCSs is studied in thispaper.
Consideringtheconceptofextendedsustainability, experts’opinions,andindustrybackground, the
finalevaluationsub-criteria foroptimalEVCSsitingaredeterminedbasedonFDM,whichconsistsof
fourpillars: economy,society,environmentandtechnology. Toaddress the fuzzinessanduncertainty
ofsubjective factorandhuman judgment,a fuzzyGRA-VIKORmethodisemployedtodetermine the
optimalEVCSsite. It isworthmentioningthatGRAisusedtomeasure thedistancesof fuzzynumbers
betweenalternatives to ideal solutions in thisstudy,whichcanefficientlyavoidthepriorityresultof
fuzzynumbers,aswellasensureaconsistent ranking list forallalternatives.Moreover, inorder to
provideascientificweightingsystem,thesub-criteriaweightsaredeterminedcombiningthesubjective
weightsofexperts’opinionsaswellas theobjectiveweightsof theentropymethod,whichupdates the
weightingprocessofconventional fuzzyVIKOR.Theevaluationresults showsthat thesub-criteriaC9
andC10affiliatedwith theenvironmentobtainmuchmoreattentionfromtheexpertsgroup,andthe
alternativeA3 inTianjinNankaidistrict isdeterminedas theoptimalEVCSsite. Lastbutnot least,
to test therobustnessandeffectivenessofdecisionresults, asensitivityanalysis ispresented,which
showedthat thesitingresultsremainstablenomatterhowthevvalueandsub-criteriaweightschange.
Moreover, it canalsobe foundthatC1,C3andC8are thesensitivesub-criteriawhichdramatically
affect theoptimalEVCSsitingresult.
Althoughthis studyrealizedtheoptimalsitingofEVCSsbyusingFDM,combinationweighting
andfuzzyGRA-VIKORtechniques, limitationsmaystill existdueto thefact theevaluationcriteria
will changealongwithobjectiveconditions.Moreover, fromamethodologicalperspective, itwould
behelpful to test theproposedframeworkwithotherapproaches. Theresults fromtheseapproaches
couldbecomparedwith theresults in thispaper,which isanoutline for the futureresearch.
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Emerging Technologies for Electric and Hybrid Vehicles
- Titel
- Emerging Technologies for Electric and Hybrid Vehicles
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 376
- Schlagwörter
- electric vehicle, plug-in hybrid electric vehicle (PHEV), energy sources, energy management strategy, energy-storage system, charging technologies, control algorithms, battery, operating scenario, wireless power transfer (WPT)
- Kategorie
- Technik