Optimization model for global portfolio of clean energy vehicles considering metal resource

Keita Kato, Tomomi Nonaka, Masaru Nakano

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Various types of clean energy vehicles (CEVs) have been developed to reduce C02 emissions and move our economies away from petroleum in the transportation sector. To make an innovation of these technologies and introduce them into the market effectively, it is important to analyze an optimal portfolio of CEVs, C02 reduction effects and total social cost in the future that can be used as a decision-making guideline for governments and companies. Meanwhile, CEVs contain some metals that have supply risks because of the reserves and political availability. However, previous researches have not taken the metal resource problems into account. In this paper, we develop the optimization model by linear programming for CEV portfolios by 6 regions of the world, considering metal resource usage of CEVs. As a case study, under the definition that the objectives are minimizing total social cost or copper resource usage, and the constraint is C02 emission reduction target, we clarify an optimal CEV portfolio of the world. In case of minimizing total social cost, electric vehicle and plug-in hybrid electric vehicle were mainly selected. On the other hand in case of minimizing copper usage, fuel cell vehicle and clean diesel vehicle are selected. The optimal portfolio is different for both cases. Moreover, the relationship between C02 emission target and copper usage to achieve is clarified. Finally, we evaluate copper resource constrains. When achieving 15% reduction of C02, about 1.7 million ton of copper (approximately equal to 33 million units of EV) might be in short supply.

Original languageEnglish
Pages (from-to)77-89
Number of pages13
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume79
Issue number797
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Metals
Copper
Plug-in hybrid vehicles
Costs
Electric vehicles
Linear programming
Fuel cells
Crude oil
Innovation
Decision making
Availability
Industry

Keywords

  • Clean energy vehicles
  • Copper
  • Energy saving
  • Engineering optimization
  • Environmental benign manufacturing
  • Environmental engineering
  • Global warming
  • Simulation
  • Sustainable manufacturing

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering

Cite this

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abstract = "Various types of clean energy vehicles (CEVs) have been developed to reduce C02 emissions and move our economies away from petroleum in the transportation sector. To make an innovation of these technologies and introduce them into the market effectively, it is important to analyze an optimal portfolio of CEVs, C02 reduction effects and total social cost in the future that can be used as a decision-making guideline for governments and companies. Meanwhile, CEVs contain some metals that have supply risks because of the reserves and political availability. However, previous researches have not taken the metal resource problems into account. In this paper, we develop the optimization model by linear programming for CEV portfolios by 6 regions of the world, considering metal resource usage of CEVs. As a case study, under the definition that the objectives are minimizing total social cost or copper resource usage, and the constraint is C02 emission reduction target, we clarify an optimal CEV portfolio of the world. In case of minimizing total social cost, electric vehicle and plug-in hybrid electric vehicle were mainly selected. On the other hand in case of minimizing copper usage, fuel cell vehicle and clean diesel vehicle are selected. The optimal portfolio is different for both cases. Moreover, the relationship between C02 emission target and copper usage to achieve is clarified. Finally, we evaluate copper resource constrains. When achieving 15{\%} reduction of C02, about 1.7 million ton of copper (approximately equal to 33 million units of EV) might be in short supply.",
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AU - Nonaka, Tomomi

AU - Nakano, Masaru

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AB - Various types of clean energy vehicles (CEVs) have been developed to reduce C02 emissions and move our economies away from petroleum in the transportation sector. To make an innovation of these technologies and introduce them into the market effectively, it is important to analyze an optimal portfolio of CEVs, C02 reduction effects and total social cost in the future that can be used as a decision-making guideline for governments and companies. Meanwhile, CEVs contain some metals that have supply risks because of the reserves and political availability. However, previous researches have not taken the metal resource problems into account. In this paper, we develop the optimization model by linear programming for CEV portfolios by 6 regions of the world, considering metal resource usage of CEVs. As a case study, under the definition that the objectives are minimizing total social cost or copper resource usage, and the constraint is C02 emission reduction target, we clarify an optimal CEV portfolio of the world. In case of minimizing total social cost, electric vehicle and plug-in hybrid electric vehicle were mainly selected. On the other hand in case of minimizing copper usage, fuel cell vehicle and clean diesel vehicle are selected. The optimal portfolio is different for both cases. Moreover, the relationship between C02 emission target and copper usage to achieve is clarified. Finally, we evaluate copper resource constrains. When achieving 15% reduction of C02, about 1.7 million ton of copper (approximately equal to 33 million units of EV) might be in short supply.

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KW - Global warming

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