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Optimal Energy Mix with Renewable Portfolio Standards in Korea

Author

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  • Zong Woo Geem

    (Department of Energy IT, Gachon University, Seongnam 13120, Korea)

  • Jin-Hong Kim

    (Department of Civil & Environmental Engineering, Chung-Ang University, Seoul 06974, Korea)

Abstract

Korea is a heavily energy-dependent country whose primary energy consumption ranks ninth in the world. However, at the same time, it promised to reduce carbon emission and planned to use more renewable energy. Thus, the objective of this study is to propose an optimal energy mix planning model in electricity generation from various energy sources, such as gas, coal, nuclear, hydro, wind, photovoltaic, and biomass, which considers more renewable and sustainable portions by imposing governmental regulation named renewable portfolio standard (RPS). This optimization model minimizes various costs such as construction cost, operation and management cost, fuel cost, and carbon emission cost while satisfying minimal demand requirement, maximal annual installation potential, and renewable portfolio standard constraints. Results showed that this optimization model could successfully generate energy mix plan from 2012 to 2030 while minimizing the objective costs and satisfying all the constraints. Therefore, this optimization model contributes more efficient and objective method to the complex decision-making process with a sustainability option. This proposed energy mix model is expected to be applied not only to Korea, but also to many other countries in the future for more economical planning of their electricity generation while affecting climate change less.

Suggested Citation

  • Zong Woo Geem & Jin-Hong Kim, 2016. "Optimal Energy Mix with Renewable Portfolio Standards in Korea," Sustainability, MDPI, vol. 8(5), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:5:p:423-:d:69296
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    References listed on IDEAS

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    1. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
    2. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    3. Park, Sang Yong & Yun, Bo-Yeong & Yun, Chang Yeol & Lee, Duk Hee & Choi, Dong Gu, 2016. "An analysis of the optimum renewable energy portfolio using the bottom–up model: Focusing on the electricity generation sector in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 319-329.
    4. Ku, Se-Ju & Yoo, Seung-Hoon, 2010. "Willingness to pay for renewable energy investment in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2196-2201, October.
    5. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
    6. Eom, Jiyong & Schipper, Lee, 2010. "Trends in passenger transport energy use in South Korea," Energy Policy, Elsevier, vol. 38(7), pages 3598-3607, July.
    7. P. Massé & R. Gibrat, 1957. "Application of Linear Programming to Investments in the Electric Power Industry," Management Science, INFORMS, vol. 3(2), pages 149-166, January.
    8. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
    9. Mendes, Carla & Soares, Isabel, 2014. "Renewable energies impacting the optimal generation mix: The case of the Iberian Electricity Market," Energy, Elsevier, vol. 69(C), pages 23-33.
    10. Hobbs, Benjamin F., 1995. "Optimization methods for electric utility resource planning," European Journal of Operational Research, Elsevier, vol. 83(1), pages 1-20, May.
    11. Bhattacharya, Anindya & Kojima, Satoshi, 2012. "Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method," Energy Policy, Elsevier, vol. 40(C), pages 69-80.
    12. Dennis Anderson, 1972. "Models for Determining Least-Cost Investments in Electricity Supply," Bell Journal of Economics, The RAND Corporation, vol. 3(1), pages 267-299, Spring.
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