Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 61, Issue -, Pages 19-30Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2012.02.023
Keywords
Electric vehicles; Hybrid vehicles; Greenhouse gas emissions; Well-to-Wheel balances; Ownership cost
Categories
Funding
- FEDER/COMPETE FCT Grant [MIT/MCA/0066/2009]
- Fundação para a Ciência e a Tecnologia [MIT/MCA/0066/2009] Funding Source: FCT
Ask authors/readers for more resources
This paper presents a study of the economic and environmental balances for Electric Vehicles (EVs) versus Internal Combustion Engine Vehicle (ICEV). The analyses were based on the Well-to-Wheel (WTW) methodology, a specific type of Life Cycle Assessment (LCA). WTW balances were carried out taking into account different scenarios for the primary energy supply and different vehicle technologies. The primary energy supply includes non-renewable sources (fossil fuels and nuclear) and Renewable Energy Source (RES). Vehicle technologies include Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV) and Plug-in Hybrid Electric Vehicle (PHEV). The generation scenarios considered in the study include the present European Union (EU) average mix and a planned increasing contribution from RESs. For the BEV, several real world driving cycle scenarios were investigated, using a custom built data acquisition system, in order to characterize the main factors that contribute to the overall energy consumption, associated cost and emissions. In terms of environmental impact, for the average EU electricity mix, BEVs have less than a half of the emissions than an ICEV. However, the ownership costs during its life cycle (about 10 y) are similar to an equivalent ICEV, despite the lower operational costs for BEVs. The likely battery price reduction, leading to a lower investment cost, will gradually tip the balance in favour of EVs. (C) 2012 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available