@Article{AAMM-9-6,
author = {Wang, Long and Guoping, Chen and Wang, Tongguang and Jiufa, Cao},
title = {Numerical Optimization and Noise Analysis of High-Tip-Speed Wind Turbine },
journal = {Advances in Applied Mathematics and Mechanics},
year = {2017},
volume = {9},
number = {6},
pages = {1461--1484},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.OA-2016-0171},
url = {https://global-sci.com/article/73312/numerical-optimization-and-noise-analysis-of-high-tip-speed-wind-turbine}
}