풍황자원 예측시 기상청 풍황자료의 유효성

• 영문명: Effectiveness of Wind Data from Automated Weather Stations for Wind Resources Prediction
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 황윤석(Hwang, Yoon-Seok) 이원선(Lee, Won-Seon) 백인수(Paek, In-Su) 유능수(Yoo, Neung-Soo)
• 간행물 정보: 『산업기술연구』vol.29, 181~186쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2009.09.30

영문 초록

The wind data measured from automated weather stations (AWS) at complex terrains in Korea was used to predict the wind velocity at nearby sites that are several kilometers away. The ten-minute averaged wind data was measured at a height of 10 meters. A commercial CFD code, Wind SIM, based on the weighted averaged Navier-Stokes equation was employed. The results were compared with the data measured using meteorological masts (MM) at a height of 40 meters. The predictions using the AWS data and WindSIM showed good agreements with the measured data.

목차

1. 서 론

2. 유동장(Windfield)모델링

3. 풍황예측

4. 결론

키워드

풍속예측 자동기상관측소 복잡지형 윈심 Wind Prediction AWS complex terrain WindSIM