본문 바로가기
KERD
논문KCI 등재

풍력발전기 나셀 내부 전장 시스템 하네스 모듈 대상 열적 민감도 분석

Thermal Sensitivity Analysis of Harness Module of Electric Field System Inside Wind turbine Nacelle

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류기타공학

초록

In this study, thermal sensitivity analysis of the harness module in a wind turbine nacelle was performed through computational fluid dynamics (CFD) using a general-purpose code, ANSYS CFX, based on experimental results. Reynolds-averaged Navier-stokes (RANS) steady flow mulation results for a total of five cases and the experimental results were consistent within an error of 2.24% at the peak temperature increment. A thermal sensitivity study of the Reynolds number of the harness system operating at a low Reynolds number was performed. It was confirmed that the peak temperature increment is linearly related to the inverse of the Nusselt number. Reynolds number correlations for peak temperature and Nusselt number at low Reynolds number are presented. A thermal sensitivity study of the harness module according to the resistance of the circuit was performed, and the peak temperature was reduced by 8.3%. It is expected that decreasing the peak temperature of the harness module by optimization of circuit resistance significantly reduces the probability of fire in a wind turbine nacelle.

Abstract

In this study, thermal sensitivity analysis of the harness module in a wind turbine nacelle was performed through computational fluid dynamics (CFD) using a general-purpose code, ANSYS CFX, based on experimental results. Reynolds-averaged Navier-stokes (RANS) steady flow mulation results for a total of five cases and the experimental results were consistent within an error of 2.24% at the peak temperature increment. A thermal sensitivity study of the Reynolds number of the harness system operating at a low Reynolds number was performed. It was confirmed that the peak temperature increment is linearly related to the inverse of the Nusselt number. Reynolds number correlations for peak temperature and Nusselt number at low Reynolds number are presented. A thermal sensitivity study of the harness module according to the resistance of the circuit was performed, and the peak temperature was reduced by 8.3%. It is expected that decreasing the peak temperature of the harness module by optimization of circuit resistance significantly reduces the probability of fire in a wind turbine nacelle.

참고문헌 (12)

  1. 김현식, "광대역 전력선통신 기반 풍력발전기 너셀 내부 화재예방시스템 구현", 한국전자통신학회 논문지, 13(6), pp.1229~1234 (2018), 한국전자통신학회[DOI]
  2. Wei Sun, "Prevention of green energy loss: Estimation of fire hazard potential in wind turbines", Renewable Energy, 140, pp.62~69 (2019), Elsevier BV[DOI]
  3. Walford, C, "Wind Turbine Reliability: Understanding and Minimizing Wind Turbine Operation and Maintenance Costs", Sandia National Laboratories (2006)[DOI]
  4. J. Yang, "Dynamic modeling and vibration suppression for an offshore wind turbine with a tuned mass damper in floating platform", Applied Ocean Research, 83, pp.21~29 (2019), Elsevier BV[DOI]
  5. Azar, K, "Experimental Determination of Thermal Conductivity of Printed Wiring Boards", Proceedings of the Twelfth IEEE SEMI-THERM Symposium, pp.169~182 (1996)
  6. Sarvar, F, "PCB glass-fibre laminates: Thermal conductivity measurements and their effect on simulation", Journal of Electronic Materials, 19(12), pp.1345~1350 (1990)
  7. Ehsan Gholamalizadeh, "Analysis of fluid flow and heat transfer on a solar updraft tower power plant coupled with a wind turbine using computational fluid dynamics", Applied Thermal Engineering, 126, pp.548~558 (2017), Elsevier BV[DOI]
  8. R. Lanzafame, "Wind turbine CFD modeling using a correlation-based transitional model", Renewable Energy, 52, pp.31~39 (2013), Elsevier BV[DOI]
  9. J. Martinez, "An Improved BEM Model for the Power Curve Prediction of Stall-regulated Wind Turbines", Wind Energy, 8, pp.385~402 (2005)
  10. Jaeho J, "3-dimensional flow field analysis and tip shape design in a 2.5MW wind turbine blade", Korea wind energy association, 2011 spring conference, pp.51~56 (2011)
  11. Jaeho J, "3-Dimensional flow field analysis and tip shape design in a wind turbine blade", Korean Society for Computational Fluids Engineering, 2011 spring conference, pp.243~248 (2011)
  12. Jones, W. P., "The Prediction of Laminarization with a Two-Equation Model of Turbulence", International Journal of Heat and Mass Transf, 15, pp.301~314 (1972)

관련 논문AI추천

이 간행물의 다른 논문 (9건)