Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6685746 | Applied Energy | 2015 | 13 Pages |
Abstract
Selecting the most sustainable site plays an important role in the life cycle of electric vehicle charging station (EVCS), which needs to consider some conflicting criteria. Different from the previous studies which mostly utilize programming (optimization) models, this paper employed a multi-criteria decision-making (MCDM) method to consider some subjective but important criteria for EVCS site selection. To reflect the ambiguity and vagueness due to the subjective judgments of decision makers, fuzzy TOPSIS method was applied to select the optimal EVCS site. Based on academic literatures, feasibility research reports and expert opinions in different fields, the evaluation index system for EVCS site selection was built from sustainability perspective, which consists of environmental, economic and social criteria associated with a total of 11 sub-criteria. Then, the criteria performances of different alternatives and criteria weights were judged by five groups of expert panels in the fields of environment, economy, society, electric power system and transportation system. Finally, the EVCS site alternatives were ranked by employing fuzzy TOPSIS method. The result shows EVCS site A2 located at Changping district in Beijing obtains the highest ranking score and should be selected as the optimal site. Meanwhile, the environmental and social criteria are paid more attentions from decision makers than economic criteria. The sensitivity analysis results indicate the alternative A2 always secures its top ranking no matter how sub-criteria weights change. It is effective and robust to apply fuzzy TOPSIS method into EVCS site selection. This paper provides a new research perspective for site selection and also extends the application domains of fuzzy TOPSIS method.
Keywords
PEVsCCSSVehicle-to-vehicleCloseness coefficientGHGCH4PM10MCDMPM2.5VIKORG2VV2GMODMMILPICEVElectric vehicle charging stationV2VELECTRENOxSOxTFnFuzzy TOPSISGenetic algorithmnitrogen oxideSulfur oxidesMixed integer linear programmingPSOParticle swarm optimizationSensitivity analysisMultiple-criteria decision-makingMulti-objective decision makingTriangular fuzzy numbertechnique for order of preference by similarity to ideal solutionDirect CurrentVehicle-to-gridInternal Combustion Engine VehicleElectric VehiclePlug-in electric vehiclesState of chargeCarbon dioxideTOPSISAnalytical hierarchy processSOCGrid-to-VehicleAHPMethanecarbon monoxideSustainabilityCO2Greenhouse gasSite selection
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Sen Guo, Huiru Zhao,