Accuracy Assessment of Annual Energy Production Estimated for Seongsan Wind Farm

Abstract

In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island.The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.

Correlation Analysis for LCOE and Cost Components with Terrain Complexity for Korean Onshore Wind Farms

“…2는 선정된 풍력발전단지 위치의 RIX 값 중 일부와 그 지형을 나타낸다. RIX는 특정 위치로부터 반경 3.5 km 지형에 대하여 일정 구간 간격으로 선을 그어 지형 경사도가 0.3을 초과하는 선의 비율을 수치적으로 나 타낸다 12) . RIX는 "0%", "~10%" 그리고 "10% ~ 50%거나 그 이상"으로 크게 3가지 범주로 나눌 수 있고 이들은 각각 "평탄과 언덕 지형(Flat and hilly)", "좀 더 복잡한 지형(More complex)" 그리고 "산악지형(Mountainous)" 으로 정의…”