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Uncertainty analysis of wind energy resource estimation

  • Lan Tang*
  • , Hongchun Shu
  • , Jilai Yu
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • Kunming University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the current situation that the operating hours of the most of running wind power farms can not reach the design level, the causes was investigated from the perspective of the estimation of wind energy resources. According to the numerical experiment of incomplete gamma function which determines the estimated value error of average effective wind energy density, it is found that the error of approximate calculation is unstable and could be far away from reasonable bound sometimes, and results in the overestimation of average effective wind energy density. The extended FAST method and Sobol method are respectively applied to calculate one order sensitivity and total sensitivity of uncertainty quantities, including the effect of Weibull distribution parameters, cut in speed and cut out speed on estimation variance. The main factor contributing to variation of error was locked by the same sensitivities rank. Based on the results of numerical experiments analysis, the suitable constraint set of the application calculation is also presented. The test cases show that the error of approximate calculation can be limited by constraints.

Original languageEnglish
Pages (from-to)1560-1565
Number of pages6
JournalTaiyangneng Xuebao/Acta Energiae Solaris Sinica
Volume32
Issue number10
StatePublished - Oct 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Numerical experiment
  • Resource assessment
  • Uncertainty analysis
  • Variance-based sensitivity
  • Wind energy
  • Wind power generation

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