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    Determining Battery and Fast Charger Configurations to Maximize E-Mileage of Electric Buses under Budget

    Source: Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 011::page 04022100
    Author:
    Pranav Gairola
    ,
    N. Nezamuddin
    DOI: 10.1061/JTEPBS.0000759
    Publisher: ASCE
    Abstract: Battery electric buses (BEBs) are being planned in urban areas around the world to curb emission. An efficiently designed electric bus system offers the dual advantage of clean public transportation and reduced private vehicle use. However, electric (e) buses are costly and require large investment in charging infrastructure, and replacing an entire fleet of diesel buses with e-buses in one shot is financially infeasible for most, if not all, transit agencies. We propose a framework for partial electrification in the initial phase of a multiphase approach to bus electrification. Given a budget, our optimization model identifies routes (and their battery sizes) and terminals (and number and size of fast charges at them) for electrification and accounts for electricity charges, while maximizing the total mileage (e-mileage) of electric buses on the selected routes. The model was applied to the bus network of New Delhi, India, one of the largest metropolitan areas in the world. Sensitivity analysis highlights the importance of two key parameters (opportunity charging duration and budget) for the e-bus system design and their impact on the daily e-mileage, the primary electrification measure in our study. Model results will help urban transit agencies in developing a plan for transitioning to a sustainable e-bus system in a phased manner and will also help in assessing the needs for future electrification phases.
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      Determining Battery and Fast Charger Configurations to Maximize E-Mileage of Electric Buses under Budget

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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorPranav Gairola
    contributor authorN. Nezamuddin
    date accessioned2023-04-07T00:40:17Z
    date available2023-04-07T00:40:17Z
    date issued2022/11/01
    identifier otherJTEPBS.0000759.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289513
    description abstractBattery electric buses (BEBs) are being planned in urban areas around the world to curb emission. An efficiently designed electric bus system offers the dual advantage of clean public transportation and reduced private vehicle use. However, electric (e) buses are costly and require large investment in charging infrastructure, and replacing an entire fleet of diesel buses with e-buses in one shot is financially infeasible for most, if not all, transit agencies. We propose a framework for partial electrification in the initial phase of a multiphase approach to bus electrification. Given a budget, our optimization model identifies routes (and their battery sizes) and terminals (and number and size of fast charges at them) for electrification and accounts for electricity charges, while maximizing the total mileage (e-mileage) of electric buses on the selected routes. The model was applied to the bus network of New Delhi, India, one of the largest metropolitan areas in the world. Sensitivity analysis highlights the importance of two key parameters (opportunity charging duration and budget) for the e-bus system design and their impact on the daily e-mileage, the primary electrification measure in our study. Model results will help urban transit agencies in developing a plan for transitioning to a sustainable e-bus system in a phased manner and will also help in assessing the needs for future electrification phases.
    publisherASCE
    titleDetermining Battery and Fast Charger Configurations to Maximize E-Mileage of Electric Buses under Budget
    typeJournal Article
    journal volume148
    journal issue11
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000759
    journal fristpage04022100
    journal lastpage04022100_10
    page10
    treeJournal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 011
    contenttypeFulltext
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