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IJAT Vol.11 No.4 pp. 592-600
doi: 10.20965/ijat.2017.p0592
(2017)

Paper:

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Scenario Analysis for Clean Energy Vehicles in UK Considering Introduction of Renewable Energy Sources

Hiroshi Nakamura and Masaru Nakano†

Graduate School of System Design and Management, Keio University
4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, Japan

†Corresponding author

Received:
December 20, 2016
Accepted:
June 7, 2017
Online released:
June 29, 2017
Published:
July 5, 2017
Creative Commons License
Keywords:
renewable energy source, clean energy vehicle, scenario analysis
Abstract
For achieving a sustainable society, clean energy vehicles (CEVs), such as electric and fuel cell vehicles, can play a significant role in reducing CO2 pollution in the transport sector. Each type of CEV has certain characteristics: vehicle running range, Life Cycle CO2(LCCO2), cost, fuel efficiency, etc. Therefore, in order to accomplish CO2 reduction targets in the UK, this paper calculates optimized CEV portfolios by considering each CEV’s characteristics. The objective is to minimize a CEV system that includes running, vehicle manufacturing, and infrastructure costs. Constraints are defined by the vehicle sales number, vehicle price, energy price, etc. A CEV optimized portfolio is calculated for each year to provide ideas for determining future CEV policy for government and industries. Few conventional studies show optimized CEV portfolios by considering mixed rates of renewable energy sources (RES). However, they did employ one case of RES introduction rate, but this study employs many RES introduction scenarios. Results suggest that introducing a high RES date contributes to reducing EV’s LCCO2 dramatically and reaching the UK target without great reduction of GVs and DVs. In the scenario of high RES introduction rate, differences are widening among EVs, GVs, and DVs in their amounts of CO2 pollution.
Cite this article as:
H. Nakamura and M. Nakano, “Scenario Analysis for Clean Energy Vehicles in UK Considering Introduction of Renewable Energy Sources,” Int. J. Automation Technol., Vol.11 No.4, pp. 592-600, 2017.
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