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Development of an Integrated Assessment Model at Provincial Level: GCAM-Korea

Author

Listed:
  • Seungho Jeon

    (Department of Energy Systems Research, Ajou University, Suwon 16449, Korea)

  • Minyoung Roh

    (Department of Energy Systems Research, Ajou University, Suwon 16449, Korea)

  • Jaeick Oh

    (Department of Energy Systems Research, Ajou University, Suwon 16449, Korea)

  • Suduk Kim

    (Department of Energy Systems Research, Ajou University, Suwon 16449, Korea)

Abstract

Integrated assessment modeling at a higher spatial scale is a prerequisite for deriving region-specific implications from the model. The Global Change Assessment Model (GCAM) was chosen for GCAM-Korea, a detailed integrated assessment model (IAM) of Korea’s socioeconomic and energy systems. GCAM-Korea is developed based on GCAM-USA. Data for 16 provinces have been collected from various sources. Some data have been pre-processed to fit within the specific structure of GCAM-USA data. Other types of data were newly added through new structures. The model results were validated to be compatible with historical trends. It was found that provincial energy plans or policies could be compiled in detail using the proposed model while maintaining consistency with national level modeling results. The cross-border air pollution issue in Northeast Asia could also be addressed by combining GCAM-Korea and air quality models in the future.

Suggested Citation

  • Seungho Jeon & Minyoung Roh & Jaeick Oh & Suduk Kim, 2020. "Development of an Integrated Assessment Model at Provincial Level: GCAM-Korea," Energies, MDPI, vol. 13(10), pages 1-15, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2565-:d:359845
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    References listed on IDEAS

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    1. Son H. Kim, Jae Edmonds, Josh Lurz, Steven J. Smith, and Marshall Wise, 2006. "The objECTS Framework for integrated Assessment: Hybrid Modeling of Transportation," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 63-92.
    2. Yu, Sha & Eom, Jiyong & Evans, Meredydd & Clarke, Leon, 2014. "A long-term, integrated impact assessment of alternative building energy code scenarios in China," Energy Policy, Elsevier, vol. 67(C), pages 626-639.
    3. Yu, Sha & Eom, Jiyong & Zhou, Yuyu & Evans, Meredydd & Clarke, Leon, 2014. "Scenarios of building energy demand for China with a detailed regional representation," Energy, Elsevier, vol. 67(C), pages 284-297.
    4. Yu, Sha & Tan, Qing & Evans, Meredydd & Kyle, Page & Vu, Linh & Patel, Pralit L., 2017. "Improving building energy efficiency in India: State-level analysis of building energy efficiency policies," Energy Policy, Elsevier, vol. 110(C), pages 331-341.
    5. Zulfikar Yurnaidi & Suduk Kim, 2018. "Reducing Biomass Utilization in the Ethiopia Energy System: A National Modeling Analysis," Energies, MDPI, vol. 11(7), pages 1-17, July.
    6. Chaturvedi, Vaibhav & Kim, Sonny & Smith, Steven J. & Clarke, Leon & Yuyu, Zhou & Kyle, Page & Patel, Pralit, 2013. "Model evaluation and hindcasting: An experiment with an integrated assessment model," Energy, Elsevier, vol. 61(C), pages 479-490.
    7. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    8. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
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    Cited by:

    1. Seungho Jeon & Minyoung Roh & Almas Heshmati & Suduk Kim, 2020. "An Assessment of Corporate Average Fuel Economy Standards for Passenger Cars in South Korea," Energies, MDPI, vol. 13(17), pages 1-13, September.
    2. Minyoung Roh & Seungho Jeon & Soontae Kim & Sha Yu & Almas Heshmati & Suduk Kim, 2020. "Modeling Air Pollutant Emissions in the Provincial Level Road Transportation Sector in Korea: A Case Study of the Zero-Emission Vehicle Subsidy," Energies, MDPI, vol. 13(15), pages 1-22, August.

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