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Development strategies to satisfy corporate average CO2 emission regulations of light duty vehicles (LDVs) in Korea

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  • Oh, Yunjung
  • Park, Junhong
  • Lee, Jong Tae
  • Seo, Jigu
  • Park, Sungwook

Abstract

In the present study, we generated vehicle dynamic based light-duty vehicle (LDV) models and investigated some technical strategies in order to meet the corporate average CO2 emission (CACE) regulations of Korea, which will be applied from 2016 to 2020. Seven types of LDV simulation models (including gasoline, diesel, and hybrid cars) were generated based on the AVL CRUISE program and the LDV sales ratio was used to estimate the CACE value of five companies in Korea. The prediction accuracy of the LDV models was validated using chassis dynamometer test data. Then, the effectiveness of the CACE reduction strategies was investigated based on the developed LDV simulation models. From the results of this study, it was revealed that all of the companies cannot satisfy the 2020 CACE regulation by just adopting a single strategy. In order to solve this problem, two types of CACE plans that combined several strategies (reducing the mass drag and fuel consumption rate, and adding a hybrid module, etc.) were proposed. After implementing the two types of CACE plan, it was predicted that five companies will be able to satisfy the 2020 CACE regulation.

Suggested Citation

  • Oh, Yunjung & Park, Junhong & Lee, Jong Tae & Seo, Jigu & Park, Sungwook, 2016. "Development strategies to satisfy corporate average CO2 emission regulations of light duty vehicles (LDVs) in Korea," Energy Policy, Elsevier, vol. 98(C), pages 121-132.
    • Handle: RePEc:eee:enepol:v:98:y:2016:i:c:p:121-132
    DOI: 10.1016/j.enpol.2016.08.018
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    Cited by:

    1. de Salvo Junior, Orlando & Saraiva de Souza, Maria Tereza & Vaz de Almeida, Flávio G., 2021. "Implementation of new technologies for reducing fuel consumption of automobiles in Brazil according to the Brazilian Vehicle Labelling Programme," Energy, Elsevier, vol. 233(C).
    2. Wang, Sinan & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2017. "Heuristic method for automakers' technological strategy making towards fuel economy regulations based on genetic algorithm: A China's case under corporate average fuel consumption regulation," Applied Energy, Elsevier, vol. 204(C), pages 544-559.
    3. Danny Harvey, L.D., 2017. "Implications for the floor price of oil of aggressive climate policies," Energy Policy, Elsevier, vol. 108(C), pages 143-153.
    4. Salvo, Orlando de & Vaz de Almeida, Flávio G., 2019. "Influence of technologies on energy efficiency results of official Brazilian tests of vehicle energy consumption," Applied Energy, Elsevier, vol. 241(C), pages 98-112.
    5. Harvey, L.D. Danny, 2020. "Rethinking electric vehicle subsidies, rediscovering energy efficiency," Energy Policy, Elsevier, vol. 146(C).

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