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Prediction of Energy Production of China Donghai Bridge Wind Farm Using MERRA Reanalysis Data

MERRA 재해석 데이터를 이용한 중국 동하이대교 풍력단지 에너지발전량 예측

  • Gao, Yue (Department of Convergence System Engineering, Kangwon National University) ;
  • Kim, Byoung-su (Department of Convergence System Engineering, Kangwon National University) ;
  • Lee, Joong-Hyeok (Department of Convergence System Engineering, Kangwon National University) ;
  • Paek, Insu (Department of Mechanical and Mechatronics Engineering, Kangwon National University) ;
  • Yoo, Neung-Soo (Department of Mechanical and Mechatronics Engineering, Kangwon National University)
  • 고월 (강원대학교 융합시스템공학과) ;
  • 김병수 (강원대학교 융합시스템공학과) ;
  • 이중혁 (강원대학교 융합시스템공학과) ;
  • 백인수 (강원대학교 기계메카트로닉스공전공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공전공학과)
  • Received : 2015.01.12
  • Accepted : 2015.06.22
  • Published : 2015.06.30

Abstract

The MERRA reanalysis data provided online by NASA was applied to predict the monthly energy productions of Donghai Bridge Offshore wind farms in China. WindPRO and WindSim that are commercial software for wind farm design and energy prediction were used. For topography and roughness map, the contour line data from SRTM combined with roughness information were made and used. Predictions were made for 11 months from July, 2010 to May, 2011, and the results were compared with the actual electricity energy production presented in the CDM(Clean Development Mechanism)monitoring report of the wind farm. The results from the prediction programs were close to the actual electricity energy productions and the errors were within 4%.

Keywords

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