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Energies 2016,9, 270
(EVs), as akindofnewenvironmentally-friendlymeansof transportation, are aneffectiveway to
tackle theproblemsrelatedtoenvironmentpollutionandfossil resourceutilization[2]. Therefore, the
Chinesegovernmenthasdevotedconsiderable resources topromote theadoptionofelectricvehicles,
andhassetupatargetofputtingfivemillionEVsontheroadby2020[3].Meanwhile,asignificant
amount of investment has beenmade to subsidizeEVmanufacturers andbuyers, build charging
stationsandposts,andoffer taxbreaksandothernon-monetary incentives.
Charginginfrastructure,astheenergyproviderofelectricvehicles, iscriticaltothedevelopmentof
anelectricvehicle system.Theavailabilityofefficient, convenientandeconomicEVCSscouldenhance
thewillingness tobuyofconsumersandpromote thedevelopmentof thesector. Lowavailabilityof
charginginfrastructurecouldhinderEVadoption,whichcouldtheninturnreduce incentives to invest
incharging infrastructuredevelopment [4]. EVCSsiting is thepreliminarystageofEVCSconstruction,
andhasa significant impact on the servicequality andoperationefficiencyofEVCSsduring their
whole life cycle. Therefore, it is essential toestablishaproper frameworktodetermine theoptimal
sites forEVCSs.
Sustainability in the scope of energy management aims to meet present demand without
compromisingtheenergyutilizationbyfuturegenerations. Sustainabledevelopmentcanberealized
byrenewableresources, cleanerproductionandmoreefficient technologies. The“sustainability” in
energymanagement is described as a long-termdevelopment integrating threepillars: economic
growth, socialdevelopmentandenvironmentprotection [5]. Topromote thesustainabledevelopment
of the EV industry, optimal EVCS siting should be performed from a sustainability perspective.
Moreover, concerning the diversity of advanced science and technical constraints, technology is
another importantperspectivetodeterminetheoptimalsiteofEVCSs. Therefore, integratingtheissues
of technology,anextendedconceptofsustainability isproposedtodeterminetheoptimalEVCSsite,
whichhasnotbeenaddressed inpreviousstudies. In this study,extendedsustainability isemployed
todetermine the initial evaluationcriteria foroptimalsitingofEVCSs,whichcovers fourperspectives,
suchas“economy”,“society”,“environment”and“technology”.Onthisbasis, 13final sub-criteriaare
determinedbyafuzzyDelphimethod(FDM)throughaseriesof intensivequestionnaires.
ConsideringthatoptimalsitingofEVCSs includesmultiple factors,aMultipleCriteriaDecision
Makingmodel isemployedtoevaluate theperformanceofallalternativesunderconflictingcriteria
in this study. VlsekriterijumskaOptimizacijia IKompromisnoResenje (VIKOR) isa compensatory
aggregationMCDMmethod,which has beenused to appraise performance inmanyfields [6–8].
VIKORhasasimpleandlogical computationprocedure thatsimultaneouslyconsiders thecloseness
to positive ideal as well as negative ideal solutions [9]. Due to the increasing complexity of
decision-making,moreandmorequalitative,uncertainandimprecise factorsare involvedinMCDM
problems[10,11], andthusa fuzzyVIKORmethodisconstructedtodetermine the fuzzycompromise
solutions formultiple criteria, which can efficiently grasp ambiguous information aswell as the
essential fuzzinessofhuman judgment [12–14]. Moreover,Grey relationanalysis (GRA) isused to
modify theconventionalaggregating functionof fuzzyVIKOR,whichcanbettermeasure thedistance
betweenfuzzynumbersaswellasgivearankingorderofalternativeswithprecisenumbers [15–18].
Ontheotherhand, in theapplicationofVIKORforoptimalsitingofEVCSs,weightingdetermination
turnsout tobecrucial for thefinal rankingofalternatives. Toobtainabetterweightsdetermining
systemfor fuzzyVIKOR,acombinationweightssystembasedonsubjective judgmentandobjective
informationare introduced in this study. Thesubjectiveweightsaredeterminedbyexperts’opinions,
andtheobjectiveweightsareobtainedbytheShannonentropymethod. Therefore, inourresearch,a
hybrid frameworkonthebasisofFDM,combinationweightsandfuzzyGRA-VIKORmethodswillbe
employedtodetermine theoptimalsites forEVCSs.
Theremainderof thispaper isorganizedas follows: areviewof the literaturerelatedto theEV
industry,optimalEVCSsitedetermination,andthemaincontributionsof this researchcanbefound
inSection2. InSection3, thebasic theoriesof relatedmethodsareelaborated. Section4presents the
proposed framework foroptimal sitingof electricvehicle station. Theevaluation indexsystemfor
180
Emerging Technologies for Electric and Hybrid Vehicles
- Title
- Emerging Technologies for Electric and Hybrid Vehicles
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Size
- 17.0 x 24.4 cm
- Pages
- 376
- Keywords
- 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)
- Category
- Technik