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Analysis of GHG Emission Reduction in South Korea Using a CO 2 Transportation Network Optimization Model

Author

Listed:
  • Suk Ho Jin

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Lianxi Bai

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Jang Yeop Kim

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Suk Jae Jeong

    (Business School, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea)

  • Kyung Sup Kim

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

Abstract

Korea’s national carbon capture and storage (CCS) master plan aims to commercialize CCS projects by 2030. Furthermore, the Korean government is forced to reduce emissions from various sectors, including industries and power generation, by 219 million tons by 2030. This study analyzes a few scenarios of Korean CCS projects with a CO 2 pipeline transportation network optimization model for minimizing the total facility cost and pipeline cost. Our scenarios are based on the “2030 basic roadmap for reducing greenhouse gases” established by the government. The results for each scenario demonstrate that the effective design and implementation of CO 2 pipeline network enables the lowering of CO 2 units cost. These suggest that CO 2 transportation networks, which connect the capture and sequestration parts, will be more important in the future and can be used to substitute and supplement the emission reduction target in case the execution of other reduction options faces uncertainty. Our mathematical model and scenario designs will be helpful for various countries which plan to introduce CCS technology.

Suggested Citation

  • Suk Ho Jin & Lianxi Bai & Jang Yeop Kim & Suk Jae Jeong & Kyung Sup Kim, 2017. "Analysis of GHG Emission Reduction in South Korea Using a CO 2 Transportation Network Optimization Model," Energies, MDPI, vol. 10(7), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:1027-:d:105248
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    Citations

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    Cited by:

    1. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    2. Kyumin Kim & Do-Hoon Kim & Yeonghye Kim, 2021. "Fisheries: A Missing Link in Greenhouse Gas Emission Policies in South Korea," Sustainability, MDPI, vol. 13(11), pages 1-10, May.
    3. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.
    4. Yugang He, 2022. "Investigating the Routes toward Environmental Sustainability: Fresh Insights from Korea," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    5. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.

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