The study for calculating the geometric average height of Deacon equation suitable to the domestic wind correction methodology.

국내풍속보정에 적합한 Deacon 방정식의 기하평균높이 산정방법에 대한 연구

  • Cheang, Eui-Heang (Dept. of Electrical Engineering, Mokpo National University) ;
  • Moon, Chae-Joo (Dept. of Electrical Engineering, Mokpo National University) ;
  • Jeong, Moon-Seon (Dept. of Electrical Engineering, Mokpo National University) ;
  • Jo, Kyu-Pan (Dept. of Electrical Engineering, Mokpo National University) ;
  • Park, Gui-Yeol (Dept. of Electrical Engineering, Mokpo National University)
  • 정의헌 (목포대학교 대학원 전기공학과) ;
  • 문채주 (목포대학교 공과대학 전기공학과) ;
  • 정문선 (목포대학교 대학원 전기공학과) ;
  • 조규판 (목포대학교 대학원 전기공학과) ;
  • 박귀열 (목포대학교 대학원 전기공학과)
  • Received : 2010.03.31
  • Accepted : 2010.07.12
  • Published : 2010.08.30

Abstract

The main cause of global warming is carbon dioxide generated from the use of fossil fuels, and active research on the reduction of carbon is in progress to slow down the increasing global warming. Wind turbines generate electricity from kinetic energy of wind and are considered as representative for an energy source that helps to reduce carbon emission. Since the kinetic energy of wind is proportional to the cube of the wind speed, the intensity of wind affects wind farm construction validity the most. Therefore, to organize a wind farm, validity analysis should be conducted first through measurement of the wind resources. To facilitate the approval and permission and reduce installation cost, measuring sensors should be installed at locations below the actual wind turbine hub. Wind conditions change in shape with air density, and air density is most affected by the variable sterrain and surface type. So the magnitude of wind speed depends on the ground altitude. If wind conditions are measured at a location below the wind turbine hub, the wind speed has to be extrapolated to the hub height. This correction of wind speed according to height is done with the Deacon equation used in the statistical analysis of previously observed data. In this study, the optimal Deacon equation parameter was obtained through the analysis of the correction of the wind speed error with the Deacon equation based on the characteristics of terrain.

Keywords

References

  1. Stern's [IPCC Report], 2007.02
  2. Wind Pro2.5 User Guide book, 2006
  3. 고경남, 허종철, "풍력공학입문", 문운당, 2007.04
  4. Niels-Erik Clausen, [Offshore wind Energy Technology], Riso offshore wind energy technical course, 2009
  5. 정의헌, 문채주, 김의선, 장영학 "복잡지형 형상에 따른 풍력자원 보정에 관한 연구", 태양에너지학회 Vo;.29 No6