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http://dx.doi.org/10.7232/IEIF.2012.25.4.441

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

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)
Publication Information
IE interfaces / v.25, no.4, 2012 , pp. 441-449 More about this Journal
Abstract
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.
Keywords
grid parity; solar photovoltaic energy; two factor learning curve; learning by doing rate; learning by searching rate;
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