대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제39권3호
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  • Pages.183-191
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  • 2013
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  • 1225-0988(pISSN)
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  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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델파이 활용 신재생 에너지 수요예측과 장기전원 구성의 경제성 평가

Forecasting Renewable Energy Using Delphi Survey and the Economic Evaluation of Long-Term Generation Mix

  • Koo, Hoonyoung (School of Business, Chungnam National University) ;
  • Min, Daiki (School of Business, Ewha Womans University)
  • 투고 : 2013.01.05
  • 심사 : 2013.03.11
  • 발행 : 2013.06.15
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초록

We address the power generation mix problem that considers not only nuclear and fossil fuels such as oil, coal and LNG but also renewable energy technologies. Unlike nuclear or other generation technologies, the expansion plan of renewable energy is highly uncertain because of its dependency on the government policy and uncertainty associated with technology improvements. To address this issue, we conduct a delphi survey and forecast the capacity of renewable energy. We further propose a stochastic mixed integer programming model that determines an optimal capacity expansion and the amount of power generation using each generation technology. Using the proposed model, we test eight generation mix scenarios and particularly evaluate how much the expansion of renewable energy contributes to the total costs for power generation in Korea. The evaluation results show that the use of renewable energy incurs additional costs.

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참고문헌

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