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A lack of data has been hindering studies of offshore wind generation in Korea. To overcome this deficiency, we use real data on seven countries and propose a probabilistic model for deriving representative estimates of input parameters and approximate the unit cost of offshore windfarms in Korea. By applying our model to two Korean offshore windfarms, we found that our approach can be used as a standard for estimating input parameters. Our results suggest that policymakers in Korea should implement energy policies to reduce the hard and soft costs of offshore wind turbine foundations.

A probabilistic model of the LCOE for Korean offshore windfarms