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Numerical Optimization and Noise Analysis of High-Tip-Speed Wind Turbine

Part of: Theoretical approximation of solutions Partial differential operators General aerodynamics and subsonic flows Control problems

Published online by Cambridge University Press:  28 November 2017

Long Wang ,
Guoping Chen ,
Tongguang Wang  and
Jiufa Cao
Long Wang
Affiliation:
Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China State Key Laboratory of Mechanics and Control for Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
Guoping Chen
Affiliation:
State Key Laboratory of Mechanics and Control for Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
Tongguang Wang*
Affiliation:
Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
Jiufa Cao
Affiliation:
College of Energy and Power Engineering, Yangzhou University, Yangzhou, Jiangsu 225009, China
*
*Corresponding author. Email:[email protected] (T. G. Wang)
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Abstract

With lower turbulence and less rigorous restrictions on noise levels, offshore wind farms provide favourable conditions for the development of high-tip-speed wind turbines. In this study, the multi-objective optimization is presented for a 5MW wind turbine design and the effects of high tip speed on power output, cost and noise are analysed. In order to improve the convergence and efficiency of optimization, a novel type of gradient-based multi-objective evolutionary algorithm is proposed based on uniform decomposition and differential evolution. Optimization examples of the wind turbines indicate that the new algorithm can obtain uniformly distributed optimal solutions and this algorithm outperforms the conventional evolutionary algorithms in convergence and optimization efficiency. For the 5MW wind turbines designed, increasing the tip speed can greatly reduce the cost of energy (COE). When the tip speed increases from 80m/s to 100m/s, under the same annual energy production, the COE decreases by 3.2% in a class I wind farm and by 5.1% in a class III one, respectively, while the sound pressure level increases by a maximum of 4.4dB with the class III wind farm case.

Keywords

Wind turbine designhigh tip speedmulti-objective optimizationnoise analysis

MSC classification

Secondary: 34H05: Control problems 45L05: Theoretical approximation of solutions 47F05: Partial differential operators (should also be assigned at least one other classification number in section 47) 76G25: General aerodynamics and subsonic flows
Type
Research Article
Information
Advances in Applied Mathematics and Mechanics , Volume 9 , Issue 6 , December 2017 , pp. 1461 - 1484
Copyright
Copyright © Global-Science Press 2017 

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