电
市场渗透
软件部署
电动汽车
环境经济学
汽车工程
灵活性(工程)
负荷转移
计算机科学
环境科学
模拟
经济
电气工程
工程类
功率(物理)
物理
量子力学
管理
操作系统
作者
J. Schwab,Christian Sölch,Gregor Zöttl
标识
DOI:10.1016/j.eneco.2022.106263
摘要
This paper analyzes charging cost of battery electric vehicles (BEVs) for different penetration levels of BEVs and for different charging strategies by taking into account their impact on the electricity sector. We analyze a multi-level equilibrium model, which incorporates endogenous generation capacity investment, network expansion, and congestion management. We calibrate our model for the German electricity sector in 2035 and consider different degrees of BEV penetration and various charging strategies: (i) non-smart charging based on a standard charging profile, (ii) smart charging, where the charging load can be shifted throughout the entire day to provide flexibility to the system, and (iii) a mixed charging strategy, where smart charging is only possible during night hours. Our final results reveal that larger BEV penetration yields lower CO2 emissions even in those scenarios with smaller availability of green electricity production. Furthermore, both charging cost and resulting CO2 emissions are substantially reduced for smarter charging strategies for all scenarios considered. Finally, even for scale deployment of BEVs, charging cost remains comparatively low. The Total Cost of Ownership (TCO) of BEV adoption thus continues to crucially depend on the evolution of vehicle purchase prices.
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