산업공학 (IE interfaces)

  • 제25권4호
  • /
  • Pages.441-449
  • /
  • 2012
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  • 1225-0996(pISSN)
  • /
  • 2234-6465(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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2요인 학습곡선 모형을 이용한 한국의 태양광 발전 그리드패리티 예측

Forecasting the Grid Parity of Solar Photovoltaic Energy Using Two Factor Learning Curve Model

  • 박성준 (경희대학교 산업경영공학) ;
  • 이덕주 (경희대학교 산업경영공학) ;
  • 김경택 (경희대학교 산업경영공학)
  • Park, Sung-Joon (Industrial and Management Systems Engineering, Kyung Hee University) ;
  • Lee, Deok Joo (Industrial and Management Systems Engineering, Kyung Hee University) ;
  • Kim, Kyung-Taek (Industrial and Management Systems Engineering, Kyung Hee University)
  • 투고 : 2011.12.09
  • 심사 : 2012.07.30
  • 발행 : 2012.12.01
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초록

Solar PV(photovoltaic) is paid great attention to as a possible renewable energy source to overcome recent global energy crisis. However to be a viable alternative energy source compared with fossil fuel, its market competitiveness should be attained. Grid parity is one of effective measure of market competitiveness of renewable energy. In this paper, we forecast the grid parity timing of solar PV energy in Korea using two factor learning curve model. Two factors considered in the present model are production capacity and technological improvement. As a result, it is forecasted that the grid parity will be achieved in 2019 in Korea.

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피인용 문헌

  1. Forecasting the Diffusion Process and the Required Scale of R&D Investment of Renewable Energy in Korea Using the Comparative Analogy Method vol.40, pp.3, 2014, https://doi.org/10.7232/JKIIE.2014.40.3.333
  2. Measuring the Efficiency of Investment in the Deployment and Technology Development of Renewable Energy in Korea Using the DEA vol.40, pp.4, 2014, https://doi.org/10.7232/JKIIE.2014.40.4.358
  3. Analysis of Renewable Energy R&D Efficiency vol.24, pp.4, 2015, https://doi.org/10.5855/ENERGY.2015.24.4.097