首页 | 本学科首页   官方微博 | 高级检索  
     


Modeling light-duty plug-in electric vehicles for national energy and transportation planning
Affiliation:1. Department of Engineering, University of Sannio, Benevento, Italy;7. Berkeley Education Alliance for Research in Singapore, Singapore;1. Section for Translational Epilepsy Research, Dept. of Neuropathology, Germany;2. Neurosurgery, Bonn Univ. Clinic, Germany;3. INSERM, Institut de Neurobiologie de la Méditerranée, Marseille, France;4. Aix-Marseille University, UMR 901 Marseille, France
Abstract:This paper sets forth a family of models of light-duty plug-in electric vehicle (PEV) fleets, appropriate for conducting long-term national-level planning studies of the energy and transportation sectors in an integrated manner. Using one of the proposed models, three case studies on the evolution of the U.S. energy and transportation infrastructures are performed, where portfolios of optimum investments over a 40-year horizon are identified, and interdependencies between the two sectors are highlighted. The results indicate that with a gradual but aggressive introduction of PEVs coupled with investments in renewable energy, the total cost from the energy and transportation systems can be reduced by 5%, and that overall emissions from electricity generation and light-duty vehicle (LDV) tailpipes can be reduced by 10% over the 40-year horizon. The annual gasoline consumption from LDVs can be reduced by 66% by the end of the planning horizon, but an additional 800 TWh of annual electricity demand will be introduced. In addition, various scenarios of greenhouse gas (GHG) emissions reductions are investigated. It is found that GHG emissions can be significantly reduced with only a marginal cost increment, by shifting electricity generation from coal to renewable sources.
Keywords:Energy planning  Infrastructure  Plug-in electric vehicles
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号