한국태양에너지학회 논문집 (Journal of the Korean Solar Energy Society)

  • 제32권2호
  • /
  • Pages.87-94
  • /
  • 2012
  • /
  • 1598-6411(pISSN)
  • /
  • 2508-3562(eISSN)
한국태양에너지학회 (The Korean Solar Energy Society)
권호 표지
DOI QR코드

DOI QR Code

복잡지형에서의 Wind Shear Exponent 예측

Prediction of Wind Shear Exponent in Complex Terrain

  • 김현기 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 김병민 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 김진한 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 백인수 (강원대학교 기계메카트로닉스공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공학과)
  • Kim, Hyeon-Gi (Dept. of Mechanical and Mechatronics Engineering, Graduate School, Kangwon National University) ;
  • Kim, Byeong-Min (Dept. of Mechanical and Mechatronics Engineering, Graduate School, Kangwon National University) ;
  • Kim, Jin-Han (Dept. of Mechanical and Mechatronics Engineering, Graduate School, Kangwon National University) ;
  • Paek, In-Su (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University) ;
  • Yoo, Neung-Soo (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
  • 투고 : 2012.01.27
  • 심사 : 2012.04.12
  • 발행 : 2012.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, we found a relationship between wind shear exponent, ${\alpha}$, and a few factors such as the wind speed, $V$, ruggedness index($RIX$), and the Weibull shape parameter, $k$ of sites in complex terrain in Korea. Wind shear exponents in main wind directions were calculated using wind speed data measured for one year from various heights of eleven meteorological masts in Gangwon province. It was found from the analysis that the reciprocal of the wind shear exponent can be expressed by an exponentially decaying function with respect to a multiple of $V$, $RIX$ and $k$. This result is considered useful to be used to characterize wind characteristics of specific sites in complex terrain in Korea with limited information.

키워드

참고문헌

  1. EWEA, Windin power-2010 European statistics, 2011
  2. 장문석, 풍력발전기술의 현황 및 전망, 대한기계학회 동역학 및 제어부문 춘계학술 대회논문집, pp.3-29, 2009
  3. Jaekyoon Woo, Hyeongi Kim, Byeongmin Kim, Insu Paek, Neungsoo Yoo, AEP Prediction of Gangwon Wind Farm using AWS Wind Data, Journal of the Korean Solar Energy Society, Vol. 31, No2, pp. 72-81, 2011 https://doi.org/10.7836/kses.2011.31.2.072
  4. 김석우, 김현구, 남극 세종기지의 전산유동 해석에 의한 풍력자원 평가, 한국 태양에너지학회논문집, 제7권, 제3호, pp.29-35, 2007
  5. 김현기, 김병민, 백인수, 유능수, 김현구, 풍향의 변동성에 따른 연간에너지발전량의 변화, 한국태양에너지학회논문집, 제31권, 제5호, pp.1-8, 2011
  6. 이성우, 김동우, 이석종, 하영철, 2차원 산지형의 풍속분포 특성에 관한 실험적 연구, 한국풍공학회지, 제4권, 제1호, pp.67-73, 2000
  7. 정의헌, 문채주, 김의선, 장영학, 복잡지형 형상에 따른 풍력자원 보정에 관한 연구, 한국태양에너지학회논문집, 제29권, 제6호, pp.62-68, 2009
  8. 김현구, 윤정은, 경남호, 이영섭, 지역별 풍속전단 형태분석에 관한 연구, 한국대기환경학회 추계학술대회논문집, pp.111-112, 2005
  9. WAsP 9.0, WAsP 9 Help Facility and On-line Documentation.
  10. C.G.Justus, Winds and wind system performance, Franklin Institute Press, Philadelphia, PA, 1978.
  11. J. Counihan, Adiabatic atmospheric boundary layers: areview and analysis of data collected from the period 1880-1972, atmospheric environment, Vol. 9, pp.871-905, 1975. https://doi.org/10.1016/0004-6981(75)90088-8

피인용 문헌

  1. Development of One Day-Ahead Renewable Energy Generation Assessment System in South Korea vol.64, pp.4, 2015, https://doi.org/10.5370/KIEE.2015.64.4.505
  2. A Study on the Benefit-Cost Analysis of Solar Louver System vol.23, pp.4, 2012, https://doi.org/10.9726/kspse.2019.23.4.072
  3. 태양에너지학회 논문집의 풍력에너지 연구동향 분석 vol.40, pp.4, 2020, https://doi.org/10.7836/kses.2020.40.4.001