The introduction of clean energy vehicles (CEVs) is expected to reduce CO
2 emissions in the transportation sector. However, because each CEV has different internal structures compared to gasoline vehicles, the popularization of each CEV type provides different impacts on three dimensions: industry, consumer, and the environment. Therefore, it is important to analyze the optimal portfolio of CEVs in making an effective policy for the introduction of CEVs. Most conventional studies do not consider economic impacts on the industry, nor do they comprehensively consider the interests of the three dimensions generated by the increased use of CEVs. Thus, this paper proposes a new multi-objective optimization model that considers the utilities of all three dimensions.
The simulation results show the optimal portfolios in 2030 for each dimension across all scenarios of technological innovation. For example, in unit sales of passenger vehicles in the standard scenario, plug-in hybrid electric vehicles (PHEVs) and fuel cell vehicles account for approximately 90% when the utility of industry aspect is prioritized. In contrast, the introduction of electric vehicles accounts for approximately 50% when the utility of consumer aspect is prioritized. Also, PHEVs play an important role particularly when the utility of environment aspect is prioritized.
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