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Statistical Analysis and Calculation for the Load of Horizontal Axis Wind Turbine

Author: ChenJiChuan
Tutor: DuanWei
School: North China Electric Power University
Course: Mechanical and Electronic Engineering
Keywords: wind speed distribution model aerodynamic loads rain flow counting load spectrum load distribution
CLC: TK83
Type: Master's thesis
Year: 2011
Downloads: 150
Quote: 1
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Abstract


Wind energy resource is very huge and it has become an important component to solve the energy crisis and environmental pollution. The design and reliability of blade is directly related to the safe operation of wind turbine. The randomness of wind speed is the main reason of load randomness on the blade, and also the main causes of the blade fatigue failure. It is necessary to study wind speed distribution and statistical analysis of load.In this paper, wind speed distribution model was researched, and the Weibull parameter estimation methods and the calculation of the value of wind energy characteristics were analyzed in detail, the actual wind speed distribution was fitted using the wind farm data. The factors that affect the wind speed and several commonly used power spectrum models were specifically analyzed, and the wind turbulent speed was simulated using harmonic synthesis method with Kaimal power spectrum model and Davenport coherence function. The aerodynamic load on blade was calculated by using the blade element momentum (BEM) theory, and waving torque and shimmy torque on blade root were simulated in considering aerodynamic load, gravity load and centrifugal force load. The count of ten-minute waving torque and shimmy torque of blade root was proceeded based on the rain flow counting theory, meanwhile, the statistical analysis and comparison were carried on using Gumbel distribution and the three-parameter Weibull distribution, and short-term load distribution curve was fitted and long-term load calculation method was given, which provides the foundation of the wind turbine blade fatigue reliability analysis and design.

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CLC: > Industrial Technology > Energy and Power Engineering > Wind energy, wind machine > Wind machinery and equipment
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