Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89588
Title: Decarbonisation of urban freight transport using electric vehicles and opportunity charging
Authors: Teoh, Tharsis
Kunze, Oliver
Teo, Chee-Chong
Wong, Yiik Diew
Keywords: Battery Electric Vehicle
Urban Freight Transport
DRNTU::Engineering::Civil engineering
Issue Date: 2018
Source: Teoh, T., Kunze, O., Teo, C. C.,& Wong, Y. (2018). Decarbonisation of urban freight transport using electric vehicles and opportunity charging. Sustainability, 10(9), 3258-. doi:10.3390/su10093258
Series/Report no.: Sustainability
Abstract: The high costs of using electric vehicles (EVs) is hindering wide-spread adoption of an EV-centric decarbonisation strategy for urban freight transport. Four opportunity charging (OC) strategies—during breaks and shift changes, during loading activity, during unloading activity, or while driving on highways—are evaluated towards reducing EV costs. The study investigates the effect of OC on the lifecycle costs and carbon dioxide emissions of four cases of different urban freight transport operations. Using a parametric vehicle model, the weight and battery capacity of operationally suitable fleets were calculated for ten scenarios (i.e., one diesel vehicle scenario, two EV scenarios without OC, and seven EV scenarios with four OC strategies and two charging technology types). A linearized energy consumption model sensitive to vehicle load was used to calculate the fuel and energy used by fleets for the transport operations. OC was found to significantly reduce lifecycle costs, and without any strong negative influence on carbon dioxide emissions. Other strong influences on lifecycle costs are the use of inductive technology, extension of service lifetime, and reduction of battery price. Other strong influences on carbon dioxide emissions are the use of inductive technology and the emissions factors of electricity production.
URI: https://hdl.handle.net/10356/89588
http://hdl.handle.net/10220/46290
DOI: http://dx.doi.org/10.3390/su10093258
Rights: © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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