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풍력자원 계측자료 분석용 상용 소프트웨어 비교분석

Comparative Analysis of Commercial Softwares for Wind Climate Data Analysis

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This paper reviews three commercial softwares for wind climate data analysis in wind resource assessment; WAsP/Observed Wind Climate, WindRose and Windographer. Windographer is evaluated as the best software because of its variety of input data format, analysis functions, easiness of user interface, etc. For a quantitative understanding of uncertainty depending on software selection, a benchmark is carried out with the met-mast observation dataset at the Gimnyeong Wind Turbine Performance Test Site. It is found that Weibull parameter calculation and air density correction have a dependency on the software so that such uncertainty should be considered when an analysis software is selected. It is confirmed that annual energy production calculated by WAsP using a statistical table of frequency of occurrence may have some error compared to a time-series calculation method used by the other softwares.

Abstract

This paper reviews three commercial softwares for wind climate data analysis in wind resource assessment; WAsP/Observed Wind Climate, WindRose and Windographer. Windographer is evaluated as the best software because of its variety of input data format, analysis functions, easiness of user interface, etc. For a quantitative understanding of uncertainty depending on software selection, a benchmark is carried out with the met-mast observation dataset at the Gimnyeong Wind Turbine Performance Test Site. It is found that Weibull parameter calculation and air density correction have a dependency on the software so that such uncertainty should be considered when an analysis software is selected. It is confirmed that annual energy production calculated by WAsP using a statistical table of frequency of occurrence may have some error compared to a time-series calculation method used by the other softwares.

참고문헌 (6)

  1. IEA(International Energy Agent) Annex 11, "Wind speed measurement and use of cup anemometry, Recommended practices for wind turbine testing", ~ (1999)
  2. IEC(International Electrotechnical Commission), "IEC61400-12-1, Power performance measurements of electricity producing wind turbines", ~
  3. P.S. Jackson, "Turbulent wind flow over a low hill", Quart. J. Roy. Met. Soc., 101, pp.929~955 (1975)
  4. CRES(Centre for Renewable Energy Sources), "WindRose User’s Guide", pp.50~
  5. 고석환, "LabView를 이용한 풍력발전 성능평가용 모니터링 시스템 개발", 한국태양에너지학회 논문집, 29(6), pp.69~74 (2009), 한국태양에너지학회
  6. M.J.M. Stevens, "The estimation of the parameters of the Weibull wind speed distribution for wind energy utilization purposes", Wind Engineering, 3, pp.132~145 (1979)

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