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Estimation of Total Transport CO 2 Emissions Generated by Medium- and Heavy-Duty Vehicles (MHDVs) in a Sector of Korea

Author

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  • Jigu Seo

    (Graduate School of Hanyang University, 222 Wangwimni-ro, Seongdong-gu, Seoul 04763, Korea)

  • Junhong Park

    (National Institute of Environmental Research, Hwangyong-ro 42, Seo-gu, Incheon 22689, Korea)

  • Yunjung Oh

    (Graduate School of Hanyang University, 222 Wangwimni-ro, Seongdong-gu, Seoul 04763, Korea)

  • Sungwook Park

    (Department of Mechanical Engineering, Hanyang University, 222 Wangwimni-ro, Seongdong-gu, Seoul 04763, Korea)

Abstract

In order to mitigate carbon dioxide (CO 2 ) emissions, policy action that addresses vehicle emissions is essential. While many previous studies have focused on light-duty vehicles (LDV), little is known about medium- and heavy-duty vehicles (MHDV). This study lays the groundwork for future MHDV investigations in the Republic of Korea by developing an MHDV CO 2 emissions inventory. The bottom-up approach was used to calculate national CO 2 emissions. Simulation methods that calculated the CO 2 emissions of each vehicle and statistical data, such as vehicle miles traveled (VMT) and the number of registered vehicles were used to predict CO 2 emissions. The validity of this simulation model was examined by comparing it with the chassis dynamometer test results. The results of this study showed that the CO 2 emissions of MHDV in 2015 were 24.47 million tons, which was 25.5% of the total road transportation CO 2 emissions, despite only comprising 4.2% of the total vehicles. Trucks emitted 69.6% and buses emitted 30.4% of the total MHDV CO 2 emissions. Using the results between 2012 and 2015, the level of business-as-usual (BAU) CO 2 emissions will be 25.37 million tons in 2020.

Suggested Citation

  • Jigu Seo & Junhong Park & Yunjung Oh & Sungwook Park, 2016. "Estimation of Total Transport CO 2 Emissions Generated by Medium- and Heavy-Duty Vehicles (MHDVs) in a Sector of Korea," Energies, MDPI, vol. 9(8), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:638-:d:75918
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    References listed on IDEAS

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    1. Small, Kenneth A., 2012. "Energy policies for passenger motor vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 874-889.
    2. van Vuuren, Detlef P. & Hoogwijk, Monique & Barker, Terry & Riahi, Keywan & Boeters, Stefan & Chateau, Jean & Scrieciu, Serban & van Vliet, Jasper & Masui, Toshihiko & Blok, Kornelis & Blomen, Eliane , 2009. "Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials," Energy Policy, Elsevier, vol. 37(12), pages 5125-5139, December.
    3. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
    4. Ko, Ahyun & Myung, Cha-Lee & Park, Simsoo & Kwon, Sangil, 2014. "Scenario-based CO2 emissions reduction potential and energy use in Republic of Korea’s passenger vehicle fleet," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 346-356.
    5. Yunjung Oh & Sungwook Park, 2014. "Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)," Energies, MDPI, vol. 7(8), pages 1-24, August.
    6. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
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