풍력에너지저널 (Journal of Wind Energy)

  • 제10권2호
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  • Pages.31-38
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  • 2019
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  • 2093-5099(pISSN)
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  • 2733-9467(eISSN)
한국풍력에너지학회 (Korea Wind Energy Association)
권호 표지

석션 버켓 지지구조 해상 풍력발전기의 고유진동수 예측과 구조물 건전성 감시 시스템을 이용한 고유진동수 관찰

Prediction of Natural Frequency of an Offshore Wind Turbine with a Support Structure with Suction Buckets and Observation by Structural Health Monitoring System

  • 서윤호 (한국기계연구원, 기계시스템안전연구본부) ;
  • 마평식 (한국기계연구원, 기계시스템안전연구본부) ;
  • 김상렬 (한국기계연구원, 기계시스템안전연구본부) ;
  • 김봉기 (한국기계연구원, 기계시스템안전연구본부)
  • 투고 : 2019.03.29
  • 심사 : 2019.05.17
  • 발행 : 2019.06.30

⟨ 이전 논문 다음 논문 ⟩

초록

As the reliability of a tripod support structure with suction buckets should be evaluated by avoiding resonance, an efficient method to predict natural frequency, which is also known as an effective tool to show the existence of damage in wind turbines, is suggested. The whole structure is modeled by beam elements, while a nacelle with blades is considered as a mass. A boundary condition of the suction buckets is described by a serial combination of stiffness elements for soil and a connecting part of a suction bucket. Then, an effective structural health monitoring (SHM) system is developed to validate the proposed modelling method. Accelerometers, strain gauge and various sensors for measurement of sea environment are installed in proper locations, and measured natural frequency is extracted by measured bending strain. It is validated that the measured natural frequency is the almost the same as the predicted one, with an error rate below 1%, and the natural frequency has sufficient margin to major excitation frequencies such as 1P and 3P. Also, it is observed that the measured natural frequency is constant for 3 months.

키워드

과제정보

본 연구는 2019년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (No. 20163030024510 풍력발전시스템 상태감시 진단시스템 개발, No. 20183010025730 MW급 풍력발전기용 Gear Train 진단 시스템 및 유지보수 기술개발)

참고문헌

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