Feasibility Study of Energy Self-sufficiency on Chuja Island, Korea using Wind Energy

Kyungnam Ko, Keonwoo Lee, Eelhwan Kim

Abstract


A study on the possibility of energy self-sufficiency was conducted on Chuja Island, South Korea. The one-year wind data from 40 m to 80 m above ground level were collected from the Light Detection and Ranging (LiDAR) device. Fundamental characteristics of the wind data were analyzed in detail. Then, the Measure-Correlate-Predict (MCP) technique was carried out to adjust the one-year wind data to long-term wind climate on the island using a nearby 25-year reanalysis wind data set. The power curves of three commercial wind turbines were applied to calculate the Annual Energy Productions (AEPs) for 25 years. Finally, an economic feasibility analysis was performed and then the possibility of energy self-sufficiency was assessed on the basis of actual electricity consumption of the island. As a result, the estimated annual Capacity Factors (CFs) were about 40% to 50%, which is similar to those of generic offshore wind farms. Also, the Internal Rate of Return (IRR) and Benefit-Cost Ratio (BCR) were 13.63% and 1.77, respectively. The possibility of energy self-sufficiency on Chuja Island is revealed in this paper.


Keywords


Wind energy; Wind data; Light Detection and Ranging (LiDAR) system; Economic feasibility analysis; Energy self-sufficiency

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DOI (PDF): https://doi.org/10.20508/ijrer.v9i3.9532.g7698

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