Scenario analysis for clean energy vehicles in UK considering introduction of renewable energy sources

Hiroshi Nakamura, Masaru Nakano

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)592-600
Number of pages9
JournalInternational Journal of Automation Technology
Volume11
Issue number4
DOIs
Publication statusPublished - 2017

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Life cycle
Pollution
Electric batteries
Costs
Fuel cells
Sales
Industry

Keywords

  • Clean energy vehicle
  • Renewable energy source
  • Scenario analysis

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Scenario analysis for clean energy vehicles in UK considering introduction of renewable energy sources. / Nakamura, Hiroshi; Nakano, Masaru.

In: International Journal of Automation Technology, Vol. 11, No. 4, 2017, p. 592-600.

Research output: Contribution to journalArticle

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