Journal of Wind Energy (풍력에너지저널)

Korea Wind Energy Association (한국풍력에너지학회)
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Numerical Investigation of Large-capacity Wind Turbine Wake Impact on Drone system during Maintenance

수치해석 활용 대용량 풍력발전시스템 유지보수 시 타워 및 블레이드 후류에 따른 드론 블레이드 간섭 연구

  • Jun-Young Lee ;
  • Hyun-Choi Jung (ELSYS) ;
  • Jae-ho Jeong
  • 이준영 (가천대학교 기계공학과) ;
  • 정현철 ;
  • 정재호 (가천대학교 기계공학과)
  • Received : 2023.06.30
  • Accepted : 2023.09.08
  • Published : 2023.09.30
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Abstract

The aim of this study is to develop guidelines for predicting interference between drones and wakes during non-destructive blade inspections in wind power systems. The wake generated by wind towers and blades can affect the stability of drone flights, necessitating the establishment of guidelines to ensure safe and efficient inspections. In order to predict the interference between drones and blades, environmental variables must be considered, including quantification of turbulence intensity in the wake generated by the tower and blades, as well as determining the appropriate distance between the drone and the tower/blades for flight stability. To achieve this, computational fluid dynamics (CFD) analysis was performed using cross-sectional geometries corresponding to the main wind turbine blade and tower span locations. Based on the CFD analysis results, a safe flight path for drones is proposed, which minimizes the risk of collision and interference with towers and blades during maintenance operations of wind power systems. Implementation of the proposed guidelines is expected to enhance the safety and efficiency of maintenance work.

Keywords

Acknowledgement

본 연구는 2020년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제(No. 20203020020030)입니다. 본 연구는 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임 (P0020612, 2023년 산업혁신인재성장지원사업)

References

  1. Lee. R. C., Shon. H. O., and Kim. R. H., 2017, "Case Study on the Safety Inspection Using Drones" KSCE Journal of Civil Engineering, Vol. 65, No. 3, pp. 75~79. 
  2. Yuya Tajima, Takefumi Hiraguri., Takahiro Matsuda, Tetsuro Imai., Jiro Hirokawa., Hiroyuki Shimizu., Tomotaka Kimura., and Kazuki Maruta., 2023, "Analysis of Wind Effect on Drone Relay Communications" Multidisciplinary Digital Publishing Institute. 
  3. Hwang. S. J., Cho. T. H, Kim. Y. W., 2017, "Analysing Characteristics of the Multi-copters due to the Wind-tunnel Test Results", KSAS 2017 Fall Conference, Gangwon State, Korea, 04/19-04/22, pp. 675-676 (in Korean). 
  4. Jung. H. S and Kim J. S, 2021, "Drone scheduling model for delivering small parcels to remote islands considering wind direction and speed", ScienceDirect, Vol. 163. 
  5. Yasutada. Tanabe., Masahiko. Sugiura., Takashi. Aoyama., Hideaki. Sugawara., Shigeru. Sunada., Koichi Yonezawa., and Hiroshi Tokutake, 2018, "Multiple Rotors Hovering Near an Upper or a Side Wall" Journal of Robotics and Mechatronics. Vol. 30, No. 3, pp. 344~353. 
  6. Kim. B. S., Kim. M. E., and Lee. Y. H., 2008, "Predicting the Aerodynamic Characteristics of 2D Airfoil and the Performance of 3D Wind Turbine using a CFD Code" Korean Society of Mechanical Engineers, Vol. 32, No. 7, pp. 549~557. 
  7. Moon. H. G., Park. S. H., Ha. K. T., and Jeong. J. H., 2021, "Multi-MW wind turbine blade vortex generator design optimization and aerodynamic characteristics analysis using CFD" Journal of Wind Energy Vol. 11, No. 72. 
  8. Kim. J. H. and Chun. H. Y., 2011, "Development of the Korean Mid- and Upper-Level Aviation TurbulenceGuidance (KTG) System Using the Regional Unified Model" Atmosphere. Korean Meteorological Society, Vol. 21, No. 4 (2011) pp. 497-506 
  9. Jeong. J. H and Ha. K. T., 2021, "Numerical Investigation of Three-Dimensional and Vortical Flow Phenomena to Enhance the Power Performance of a Wind Turbine Blade" Applied Sciences. 
  10. Lee. D. Y., Park S. H., and Shin. S. J., 2022, "Risk Assessment of a Drone Under the Gust and its Precise Flight Simulation" The Korean Society for Aeronautical and Space Sciences, Vol. 50, No. 3, pp. 173~180.