排队论
电动汽车
背景(考古学)
盈利能力指数
计算机科学
充电站
事件(粒子物理)
航程(航空)
服务(商务)
停车场
投资回收期
运输工程
业务
工程类
财务
计算机网络
营销
经济
航空航天工程
土木工程
古生物学
功率(物理)
宏观经济学
物理
生产(经济)
生物
量子力学
作者
Jurica Babić,Arthur Carvalho,Wolfgang Ketter,Vedran Podobnik
标识
DOI:10.1016/j.trd.2022.103198
摘要
Underdeveloped charging infrastructure is one of the main barriers to widespread electric vehicle (EV) adoption. Transforming parking lots into EV-enabled parking lots that provide parking and charging services is a solution to address the need for charging stations. Two challenges arise in this context: (1) how many parking spots should receive EV chargers and (2) how to appropriately define the pricing scheme for the charging service. We tackle these challenges by proposing a novel framework based on discrete-event simulations and queueing theory. Our framework can estimate the ideal number of EV chargers and the charging price. These estimates can be used to determine the profitability and payback period for transforming traditional parking lots into EV-enabled parking lots. We illustrate the use of our framework in a real-world setting involving the city of Melbourne, Australia. When doing so, we derive a new methodology to measure the range anxiety phenomenon.
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