해상풍력 집적화단지의 외부후류 손실 리스크 및 정책적 시사점: 영국 사례 기반의 국내 실증 및 제도 개선 방향
Policy Implications and External Wake Loss Risks in Clustered Offshore Wind Farms: Domestic Empirical Assessment and Regulatory Reform Based on UK Cases
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This study investigates the critical issue of annual energy production losses caused by external wake effects in clustered offshore wind planning zones in Korea. This densification of wind farm locations leads to increased interactions between wakes of neighboring clusters, resulting in quantifiable annual energy losses, economic risks, and potential conflicts among stakeholders. Using the Shinan offshore wind cluster as a case study, this paper performs scenario-based quantitative simulations of external wake-induced losses and analyzes the resulting financial impacts based on the latest competitive bidding price caps. Furthermore, by benchmarking European (especially UK) legal, regulatory, and R&D practices, the study suggests improvements tailored for Korea, such as implementing inter-farm spacing requirements, mandating external wake impact assessments, expanding data-driven R&D efforts, and introducing conflict management schemes.
Abstract
This study investigates the critical issue of annual energy production losses caused by external wake effects in clustered offshore wind planning zones in Korea. This densification of wind farm locations leads to increased interactions between wakes of neighboring clusters, resulting in quantifiable annual energy losses, economic risks, and potential conflicts among stakeholders. Using the Shinan offshore wind cluster as a case study, this paper performs scenario-based quantitative simulations of external wake-induced losses and analyzes the resulting financial impacts based on the latest competitive bidding price caps. Furthermore, by benchmarking European (especially UK) legal, regulatory, and R&D practices, the study suggests improvements tailored for Korea, such as implementing inter-farm spacing requirements, mandating external wake impact assessments, expanding data-driven R&D efforts, and introducing conflict management schemes.