电气化
软件部署
电池(电)
公共交通
网格
地铁列车时刻表
报酬
汽车工程
运输工程
电动汽车
电动汽车
总拥有成本
工作(物理)
环境经济学
电
计算机科学
工程类
业务
电气工程
财务
经济
功率(物理)
物理
几何学
数学
量子力学
操作系统
机械工程
作者
Jônatas Augusto Manzolli,João P. Trovão,Carlos Henggeler Antunes
出处
期刊:Energy
[Elsevier]
日期:2022-05-14
卷期号:254: 124252-124252
被引量:46
标识
DOI:10.1016/j.energy.2022.124252
摘要
The trend for the decarbonization of the transportation sector, contributing to climate change mitigation, has driven the accelerated deployment of electric buses in cities. However, higher upfront costs, charging infrastructure deployment and operational issues are the main obstacles to their massive adoption. This work develops an optimization model to deal with the charging schedule of a fleet of battery electric buses. This approach aims to minimize the charging costs of electric bus fleets also considering the ageing of the batteries and the participation in vehicle to grid schemes. We developed a case study using real-world data from a small electric bus fleet of eleven electric buses in a medium-size Portuguese city. Further, we performed a sensitivity analysis to assess the possibilities of energy trading with the grid. The results indicate that below a battery replacement cost threshold of 100 €/kWh, it may become economically attractive for public transportation operators to sell back energy to the grid for a given remuneration scheme. Considering battery degradation and energy selling, our study indicates that operation costs could be 38% lower in 2030. The approach presented in this article provides a tool that can be employed by public transportation operators to assist decision making in the electrification of bus systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI