DOI QR코드

DOI QR Code

Wind Farm Design Considering Turbulence Intensity on Complex Terrain

복잡지형에서 난류강도를 고려한 풍력발전단지설계

  • Park, Mi-Ho (Interdisciplinary Postgraduate Program in Wind Energy, Jeju National University) ;
  • Ko, Kyung-Nam (Interdisciplinary Postgraduate Program in Wind Energy, Jeju National University) ;
  • Huh, Jong-Chul (Department of Mechanical Engineering, Jeju National University)
  • 박미호 (제주대학교 대학원 풍력특성화협동과정) ;
  • 고경남 (제주대학교 대학원 풍력특성화협동과정) ;
  • 허종철 (제주대학교 기계공학과)
  • Received : 2013.08.07
  • Accepted : 2013.12.12
  • Published : 2013.12.30

Abstract

The investigation on wind farm design using CFD technique was carried out to reduce turbulence intensity in a wind farm. A potential wind farm in Gasiri of Jeju Island was selected for the design and the commercial S/W of Meteodyn WT was used for applying CFD technique. The initial layout of wind turbines was derived using WindPRO which is mainly used for wind farm design in Korea. Then, the distribution of turbulence intensity on complex terrain was calculated and visible by Meteodyn WT. Based on the distribution, wind turbines were positioned properly. As a result, wind turbines could be deployed at positions with minimum turbulence intensity as well as maximum Annual Energy Production, AEP, using Meteodyn WT. It is necessary to take into account turbulence intensity in wind farm design to avoid wind turbine failure.

Keywords

References

  1. Korea Wind Energy Industry Association, http://www.kweia.or.kr.
  2. Morten Nielsen, Presentation of Windfarm Assesment Tool, Riso DTU, 2011.
  3. Seok-Woo Kim, Hyun-Goo Kim, Sensitivity analysis of wind resource micrositing at the antarctic king sejong station, The korean solar energy society, 2007, Vol.27, No.4, pp.1-9.
  4. Rui Faria Pereira, Ricardo Andre Guedes, Carlos Silva Santos, Comparing WAsP and MeteodynWT estimates for the "regular" user, EWEC2010.
  5. Anthony J. Bowen and Niels G. Mortensen, WAsP prediction errors due to site orography, Riso-R-995(EN), 2004.
  6. P. J. Hurley, An evaluation of several turbulence schemes for the prediction of mean and turbulent fields in complex terrain, 1986
  7. J. R. Garratt, The at moshperic boundary layer, Cambridge Atmospheric and space sciences series,1992.
  8. Meteodyn WT, Help Facility and On-Line Documentation, Technical basis.
  9. EMD International A/S, Modelling of the Variation of Air Density with Altitude through Pressure, Humidity and Temperature, Wind PRO/ENERGY.
  10. Sten Tronaes Frandsen, Turbulence and turbulence-generated structural loading in wind turbine clusters, Riso NationalLab., Riso-R-1188(EN), 2007.
  11. Hyun-Goo Kim, Tae-Yoon Jeong, Moon-Seok Jang, Analysis on turbulence intensity characteristics at Gimnyeong, Jejudo by applying IEC 61400 wind turbine standards, The korean solar energysociety, 2010, Vol.30, No.6, pp.59-65.
  12. Kyung-Nam Ko, Jong-Chul Huh, Estimation of the wake caused by wind turbine and complex terrain by CFD wind farm modelling, The korean solar energy society, 2011, Vol.31, No.5, pp.19-26. https://doi.org/10.7836/kses.2011.31.5.019

Cited by

  1. Assessment of Wind Atlas Analysis and Application Program and computational fluid dynamics estimates for power production on a Jeju Island wind farm vol.40, pp.1, 2016, https://doi.org/10.1177/0309524X15624346