DOI QR코드

DOI QR Code

Investigation on Selecting Optimal Wind Turbines in the Capacity Factor Point of View

이용률 관점에서의 최적 풍력발전기 선정에 대한 연구

  • Woo, Jae-Kyoon (Dept. of Power Plant, Dohwa Engeering CO., LTD.) ;
  • Kim, Byeong-Min (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) ;
  • Nam, Yoon-Su (Dept. of Mechanical and Mechatronics Engineering, Kangwon National University)
  • 우재균 ((주)도화 엔지니어링 발전플랜트부) ;
  • 김병민 (강원대학교 대학원 기계메카트로닉스공학과) ;
  • 백인수 (강원대학교 기계메카트로닉스공학과) ;
  • 유능수 (강원대학교 기계메카트로닉스공학과) ;
  • 남윤수 (강원대학교 기계메카트로닉스공학과)
  • Received : 2011.06.22
  • Accepted : 2011.10.10
  • Published : 2011.10.30

Abstract

Selecting optimal wind turbine generators for wind farm sites in the capacity factor point of view is performed in this study. A program to determine the best wind turbine generator for the maximum capacity factor for a site was developed. The program uses both the wind characteristics of the site of interest and the power curves of the wind turbines. The program developed was applied to find out optimal wind turbine generators of three different sites in complex terrain and successfully yielded the best site dependent wind turbine generators. It was also used to determine the best wind turbine generator of the wind farm currently operating in Korea and proved its usefulness. The program and methodology developed in this study considered to be very useful at the initial design stage of the wind farm to determine the best wind turbine generators for the site of interest.

Keywords

References

  1. M.S. Jang, H.J. Bang, "The Current Status and the Prospects of Wind Energy", Jounal of the Environmental Sciences, Vol.18, No.8, pp.933-940. 2009. https://doi.org/10.5322/JES.2009.18.8.933
  2. T. Wizelius, "Developing Wind Power Projects", EARTHSCAN, pp.47-59. 2006
  3. Riso National Laboratory, Roskilde, Denmark, "European Wind Atlas", The Commission of the European Communities Directorate-General for Science, Research and Development, 1989.
  4. Renewable Energy Research Laboratory, "Wind Power : Capacity Factor and Intermittency", University of Massachusetts at Amherst, 2003.
  5. K. N. Ko and J.C Huh-I. Ushiyama, "Introduction to Wind Energy Engineering", Munundang, 2002.
  6. K. Y. Yoon, I. Paek and N.S. Yoo, Wind Speed Prediction using WAsP for Complex Terrain, Proc. of the 2008 autumn Conf. of Korea Wind Energy Assoc., 2008.
  7. Y. S.Hwang, I. Paek, K. Y. Yoon, W. S. Lee, N.S. Yoo and Y.S. Nam, "Application of wind data from automated weather stations to wind resources estimation in Korea," accepted for publication in Journal of Mechanical Science and Technology, 2010.
  8. J. S. Bae, M.S. Jang, Y.C. Ju, J.E Yoon and N. H. Kyung, "Wind Resource Assessment of Antarctic King Sejong Station", Journal of the Korean Solar Energy Society, Vol.25, No.3, pp.53-60, 2005.
  9. Risoe Laboratory online help page, http://www.wasp.dk/Support/FAQ/WebHelp/Wasp9.htm#RoughnessLength.htm.
  10. "WAsP Manual : Wind Analysis and application Program (WAsP): User Guide", Risoe Laboratory, Roskilde, Denmark, ISBN 97-550-178,1993.
  11. S.S. Ju, "CDM Monitoring Report 2009", Gangwon Wind Park Project (CDM Registration Reference Number 0222), 2010.

Cited by

  1. Power Curve of a Wind Generator Suitable for a Low Wind Speed Site to Achieve a High Capacity Factor vol.9, pp.3, 2014, https://doi.org/10.5370/JEET.2014.9.3.820