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Solutions for optimizing renewable power generation systems at Kyung-Hee University׳s Global Campus, South Korea

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  • Park, Eunil
  • Kwon, Sang Jib

Abstract

Owing to the heavy fossil fuel dependence of South Korean energy-supply systems, the South Korean government has advised educational facilities, including universities, which have high electricity consumption, to use more renewable energy facilities. The present study uses the HOMER software to explore possible solutions for providing various energy resources among diesel generator, solar energy, wind energy, batteries, and the grid system to satisfy the load demand at Kyung-Hee University׳s Global Campus. The renewable fraction, cost of energy (COE), and total net present cost (NPC) of various scenarios for renewable power generation systems are calculated. The simulation results indicate that the suggested systems achieve a COE value in the range from $0.509 to $0.515 (on-grid) and from $0.525 to $0.531 (off-grid). Recommendations and limitations are discussed.

Suggested Citation

  • Park, Eunil & Kwon, Sang Jib, 2016. "Solutions for optimizing renewable power generation systems at Kyung-Hee University׳s Global Campus, South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 439-449.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:439-449
    DOI: 10.1016/j.rser.2015.12.245
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    6. Seoin Baek & Heetae Kim & Hyun Joon Chang, 2016. "Optimal Hybrid Renewable Airport Power System: Empirical Study on Incheon International Airport, South Korea," Sustainability, MDPI, vol. 8(6), pages 1-13, June.
    7. Haixiang Zang & Mian Guo & Zeyu Qian & Zhinong Wei & Guoqiang Sun, 2016. "A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems," Sustainability, MDPI, vol. 8(12), pages 1-9, December.
    8. Eunil Park & Sang Jib Kwon & Angel P. Del Pobil, 2016. "For a Green Stadium: Economic Feasibility of Sustainable Renewable Electricity Generation at the Jeju World Cup Venue," Sustainability, MDPI, vol. 8(10), pages 1-11, September.
    9. Park, Eunil, 2017. "Potentiality of renewable resources: Economic feasibility perspectives in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 61-70.
    10. Eunil Park & Ki Joon Kim & Sang Jib Kwon & Taeil Han & Wongi S. Na & Angel P. Del Pobil, 2017. "Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
    11. Eunil Park & Taeil Han & Taehyeong Kim & Sang Jib Kwon & Angel P. Del Pobil, 2016. "Economic and Environmental Benefits of Optimized Hybrid Renewable Energy Generation Systems at Jeju National University, South Korea," Sustainability, MDPI, vol. 8(9), pages 1-12, September.
    12. Hwang, Haejin & Kim, Sunghoon & García, Álvaro González & Kim, Jiyong, 2021. "Global sensitivity analysis for assessing the economic feasibility of renewable energy systems for an off-grid electrified city," Energy, Elsevier, vol. 216(C).
    13. Woong Ko & Jinho Kim, 2019. "Generation Expansion Planning Model for Integrated Energy System Considering Feasible Operation Region and Generation Efficiency of Combined Heat and Power," Energies, MDPI, vol. 12(2), pages 1-20, January.
    14. Min-Kyu Lee & Ju-Hee Kim & Seung-Hoon Yoo, 2018. "Public Willingness to Pay for Increasing Photovoltaic Power Generation: The Case of Korea," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
    15. Kim, Sehyun & Lee, Hyunjae & Kim, Heejin & Jang, Dong-Hwan & Kim, Hyun-Jin & Hur, Jin & Cho, Yoon-Sung & Hur, Kyeon, 2018. "Improvement in policy and proactive interconnection procedure for renewable energy expansion in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 150-162.
    16. Jo, Jin Ho & Aldeman, Matt & Lee, Han-Seung & Ahn, Yong Han, 2018. "Parametric analysis for cost-optimal renewable energy integration into residential buildings: Techno-economic model," Renewable Energy, Elsevier, vol. 125(C), pages 907-914.

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