• Title/Summary/Keyword: MERRA 재해석자료

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Wind Resource Assessment on the Western Offshore of Korea Using MERRA Reanalysis Data (MERRA 재해석자료를 이용한 서해상 풍력자원평가)

  • Kim, Hyun-Goo;Jang, Moon-Seok;Ryu, Ki-Wahn
    • Journal of Wind Energy
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    • v.4 no.1
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    • pp.39-45
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    • 2013
  • Massive offshore wind projects of have recently been driven in full gear on the Western Offshore of Korea including the 2.5 GW West-Southern Offshore Wind Project of the Ministry of Trade, Industry and Energy, and the 5 GW Offshore Wind Project of the Jeollanamdo Provincial Government. On this timely occasion, this study performed a general wind resource assessment on the Western Offshore by using the MERRA reanalysis data of temporal-spatial resolution and accuracy greatly improved comparing to conventional reanalysis data. It is hard to consider that wind resources on the Western Sea are excellent, since analysis results indicated the average wind speed of 6.29 ± 0.39 m/s at 50 m above sea level, and average wind power density of 307 ± 53 W/m2. Therefore, it is considered that activities shall be performed for guarantee economic profits from factor other than wind resources when developing an offshore wind project on the Western Offshore.

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;Kim, Byoung-su;Lee, Joong-Hyeok;Paek, Insu;Yoo, Neung-Soo
    • Journal of the Korean Solar Energy Society
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    • v.35 no.3
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    • pp.1-8
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    • 2015
  • 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%.

Prediction of Annual Energy Production of Wind Farms in Complex Terrain using MERRA Reanalysis Data (MERRA 재해석 자료를 이용한 복잡지형 내 풍력발전단지 연간에너지발전량 예측)

  • Kim, Jin-Han;Kwon, Il-Han;Park, Ung-Sik;Yoo, Neungsoo;Paek, Insu
    • Journal of the Korean Solar Energy Society
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    • v.34 no.2
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    • pp.82-90
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    • 2014
  • The MERRA reanalysis data provided online by NASA was applied to predict the annual energy productions of two largest wind farms in Korea. The two wind farms, Gangwon wind farm and Yeongyang wind farm, are located on complex terrain. For the prediction, a commercial CFD program, WindSim, was used. The annual energy productions of the two wind farms were obtained for three separate years of MERRA data from June 2007 to May 2012, and the results were compared with the measured values listed in the CDM reports of the two wind farms. As the result, the prediction errors of six comparisons were within 9 percent when the availabilities of the wind farms were assumed to be 100 percent. Although further investigations are necessary, the MERRA reanalysis data seem useful tentatively to predict adjacent wind resources when measurement data are not available.