Many countries are adopting Electric vehicle (EV), as the best available alternative source of traditional Internal Combustion Engine (ICE) vehicles. EVs are environment friendly as they emit zero exhaust Carbon Dioxide (CO2) in the atmosphere. To increase the adoption rate of EV, it is pertinent to boost and develop the charging infrastructure. Installing public EV charging stations will highly promote the EV usage. The public EV charging station location depends upon various factors like investment cost, expected profit, land use, drag distance, waiting time, charging demand, and available power supply. The objective of this study is to develop a model based on geographical information system (GIS) for level 2 chargers, i.e., to locate a slow charging station in a commercial and industrial land use zone in Indian capital city of New Delhi. The study considers mixed traffic flow, typical of Indian traffic condition. The scope of study is limited to private vehicles like two-wheelers (2w) and four-wheelers (4w) only. Three-wheeler and commercial vehicle are excluded in this study. Slow charging station takes approximately 5–6 h per vehicle for a full charge. Slow charging stations are suitable for private vehicles which remain in parking for working hours of approximately 7–8 h in commercial and industrial zones. The QGIS-based model, presented in this study, is implemented for mixed traffic conditions for the study area. Origin–Destination data of NCT-Delhi has been used for modeling the charging demand.


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    Titel :

    GIS-Based Model for Optimum Location of Electric Vehicle Charging Stations


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Anjaneyulu, M. V. L. R. (Herausgeber:in) / Harikrishna, M. (Herausgeber:in) / Arkatkar, Shriniwas S. (Herausgeber:in) / Veeraragavan, A. (Herausgeber:in) / Vansola, Binal (Autor:in) / Chandra, Minal (Autor:in) / Shukla, Rena N. (Autor:in)


    Erscheinungsdatum :

    11.11.2022


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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