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Evaluation of Wind Turbine Efficiency of Haengwon Wind Farm in Jeju Island based on Korean Wind Map

풍력-기상자원지도에 기반한 제주 행원 풍력발전단지 효율성 평가

  • Byon, Jae-Young (Applied Meteorological Research Division, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Kang, Mi-Sun (Applied Meteorological Research Division, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Jung, Hyun-Sook (Applied Meteorological Research Division, National Institute of Meteorological Research, Korea Meteorological Administration)
  • 변재영 (기상청 국립기상연구소 응용기상연구과) ;
  • 강미선 (기상청 국립기상연구소 응용기상연구과) ;
  • 정현숙 (기상청 국립기상연구소 응용기상연구과)
  • Received : 2013.09.06
  • Accepted : 2013.11.02
  • Published : 2013.12.31

Abstract

This study evaluates wind farm efficiency at Haengwon in Jeju Island. The actual energy production at Haengwon wind farm is compared with the estimated energy production based on Korean wind map which is developed at the National Institute of Meteorological Research/KMA. The validation of wind map at Gujwa located near the Haengwon wind farm shows that the wind speed is overestimated. The diurnal variation of wind speed shows a maximum value in the afternoon due to the effect of sea-land breeze. The ratio of the actual energy production at Haengwon wind farm and the estimated energy production based on the Korean wind map is 24.8%, while the distribution of energy frequency is similar each other. The difference of energy production is caused by mechanical error of the turbine and the overestimation of the simulated wind map. This study will contribute to the repowering of turbines for improving the efficiency of wind farm in the future.

풍력 발전단지의 효율성 평가를 위하여 풍력-기상자원지도로부터 이론적 잠재량을 계산하고 행원 발전단지 발전량과 비교하였다. 풍력-기상자원지도는 기상청 국립기상연구소에서 개발된 1 km 해상도 자료를 이용하였다. 풍력-기상자원지도와 AWS(구좌) 풍속의 비교 검증 결과는 풍속이 과대 모의되었으며, 행원 발전단지 풍속의 일 변동성은 해륙풍의 영향으로 오후에 최대가 되는 일 변동 특성을 보였다. 풍력-기상자원지도로부터 산출된 발전량과 행원 발전단지 발전량의 비율은 24.8%이나, 발전량 빈도수 분포 형태는 유사하였다. 발전량 차이의 원인은 터빈의 기계적 오류, 풍력-기상자원지도 풍속의 과대 모의에 기인한 것으로 생각된다. 본 연구는 향후의 발전단지 효율성 증가를 위한 터빈의 재배치에 기여 할 것이다.

Keywords

References

  1. Byon, J.Y., Choi, Y.J., and Seo, B.K., 2010, Characteristics of a wind map over the Korean Peninsula based on mesoscale model WRF. Atmosphere, 20, 195-210. (in Korean)
  2. IPCC, 2007, Climate change: The physical science basis- Summary for policy makers. IPCC WGI Fourth Assessment Report, 18 p.
  3. Kang, M.S., Jin, K.M., Kim, E.H., Oh, S.B., and Lee, J.M., 2012, A study on the determining ESS capacity for stabilizing power output of Hang-won wind farm in Jeju. Journal of the Korean Solar Energy Society, 32, 25-31. (in Korean) https://doi.org/10.7836/kses.2012.32.1.025
  4. Kim, H.J., Jung, S., Jung, Y.L., Choi, Y.J., and Kim, K.R., 2009, A study on the establishment of TMY (Typical Meteorological Year) for wind resource in Korea. Korean Journal of Applied Statistics, 22, 943-960. (in Korean) https://doi.org/10.5351/KJAS.2009.22.5.943
  5. Kim, H.J., Jung, S., and Choi, Y.J., 2011, On generation of 2010 TMY for the wind resources of the Korean Peninsula via two-stage algorithm and representative property of the TMY. Journal of the Korean Data Analysis Society, 13, 269-281. (in Korean)
  6. Ko, K.N., Kang, M.J., and Huh, J.C., 2007, Operational characteristics of wind turbine generator systems in Hangwon wind farm. Journal of the Korean Solar Energy Society, 27, 1-9. (in Korean)
  7. National Institute of Meteorological Research, 2010, A study on the characteristics of sea-land breeze in Jeju island using wind vector data of AWS, 57 p. (in Korean)
  8. Park, Y.H., Kim, K.B., Her, S.Y., Lee, Y.M., and Huh, J.C., 2010, A study on the wind data analysis and wind speed forecasting in Jeju area. Journal of the Korean Solar Energy Society, 30, 66-72. (in Korean)
  9. Ryu, G.H., Kim, K.S., Kim, J.C., and Song, K.B., 2009, A study on estimation of wind power generation using weather data in Jeju island. The Transactions of the Korean Institute of Electrical Engineers, 58, 2349-2353.
  10. Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X., Wang, W., and Powers, J.G., 2008, A description of the advanced research WRF version 3. NCAR Tech. Note NCAR/ TN-475+STR, National Center for Atmospheric Research, Boulder, CO, USA, 125 p.
  11. Song, K., Bang, C.H., Park, Y.S., and Choi, Y.J. , 2012, Research and analysis for developing of evaluation on the site selection of wind farm. Journal of the Wind Engineering Institute of Korea, 16, 3-12. (in Korean)
  12. Yim, S.H.L., Fung, J.C.H., Lau, A.K.H., and Kot, S.C., 2007, Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system. Journal of Geophysical Research, 112, 5106-5121. https://doi.org/10.1029/2006JD007752
  13. Xi, L., McElroy, M.B., and Kiviluoma, J., 2009, Global potential for wind-generated electricity. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 106, 10933-10938. https://doi.org/10.1073/pnas.0904101106

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