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How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation

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  • Song, Yong Hyun
  • Kim, Hyun Joong
  • Kim, Seung Wan
  • Jin, Young Gyu
  • Yoon, Yong Tae

Abstract

The Korean government announced a new energy transition policy that emphasizes phasing out nuclear and coal energy and increasing renewable energy sources. However, a lack of quantitative research has resulted in disagreements about the most suitable energy transition strategy for Korea. To evaluate the policy, we designed a quantitative analysis that simulates generation scheduling and settlement processes in the Korean power market. We then analyze the economic impacts, conflicts of interest, greenhouse gas (GHG) emissions, and the power system’s market price sensitivity to the price of imported liquefied natural gas (LNG) in four energy transition scenarios: i) the government’s new energy transition policy, ii) phase-out of nuclear energy, iii) phase-out of coal energy, and iv) simultaneous phase-out of nuclear and coal energy. Additionally, we evaluated the effects of coal taxation. Based on the power market simulation results, we conclude that phasing out nuclear energy with increasing taxation of coal, or only phasing out coal energy are two reasonable scenarios for energy transition in Korea. The simultaneous phase-out of nuclear and coal energy, which was originally pursued by the government, is inferior to the recommended scenarios in the aspects evaluated. Policymakers should consider these results when developing feasible energy transition scenarios.

Suggested Citation

  • Song, Yong Hyun & Kim, Hyun Joong & Kim, Seung Wan & Jin, Young Gyu & Yoon, Yong Tae, 2018. "How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation," Energy Policy, Elsevier, vol. 119(C), pages 396-409.
  • Handle: RePEc:eee:enepol:v:119:y:2018:i:c:p:396-409
    DOI: 10.1016/j.enpol.2018.05.002
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    Citations

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    Cited by:

    1. Park, Minsun & Barrett, Mark & Gallo Cassarino, Tiziano, 2019. "Assessment of future renewable energy scenarios in South Korea based on costs, emissions and weather-driven hourly simulation," Renewable Energy, Elsevier, vol. 143(C), pages 1388-1396.
    2. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Jeongin Lee & Jongwoo Choi & Wanki Park & Ilwoo Lee, 2023. "A Dual-Stage Solar Power Prediction Model That Reflects Uncertainties in Weather Forecasts," Energies, MDPI, vol. 16(21), pages 1-19, October.
    4. Heeseung Moon & Dongsu Lee & Jeongmin Han & Yongtae Yoon & Seungwan Kim, 2021. "Impact of Imbalance Pricing on Variable Renewable Energies with Different Prediction Accuracies: A Korean Case," Energies, MDPI, vol. 14(13), pages 1-19, July.
    5. Hansol Shin & Tae Hyun Kim & Kyuhyeong Kwag & Wook Kim, 2021. "A Comparative Study of Pricing Mechanisms to Reduce Side-Payments in the Electricity Market: A Case Study for South Korea," Energies, MDPI, vol. 14(12), pages 1-19, June.
    6. Qi, Xiaoyan & Guo, Yanshan & Guo, Pibin & Yao, Xilong & Liu, Xiuli, 2022. "Do subsidies and R&D investment boost energy transition performance? Evidence from Chinese renewable energy firms," Energy Policy, Elsevier, vol. 164(C).
    7. Sung-Hyun Hwang & Mun-Kyeom Kim & Ho-Sung Ryu, 2019. "Real Levelized Cost of Energy with Indirect Costs and Market Value of Variable Renewables: A Study of the Korean Power Market," Energies, MDPI, vol. 12(13), pages 1-18, June.

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