Combined genetic algorithm and response surface methodology-based bi-optimization of a vertical-axis wind turbine numerically simulated using CFD

IF 3.5 3区 工程技术 Q3 ENERGY & FUELS
Mahdi Roshani, Fathollah Pourfayaz, Ali Gholami
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Abstract

In this study, computational fluid dynamic (CFD) simulation of a vertical axis wind turbine (VAWT) geometry based on the Unsteady Reynolds–Averaged Navier–Stokes equations was investigated. In addition, the relationship between the geometric parameters of the VAWT and the two response variables, that is, moment and lift force, was determined using response surface methodology (RSM). Then, the Non-Dominated Sorting Genetic Algorithm (NSGA-II) was used to solve the multi-objective optimization problem. The results obtained from the RSM showed that the lift force of the turbine is more sensitive to the change in the blade chord length, and the output moment of the turbine is more sensitive to the change in the rotor radius. Using the NSGA-II multi-objective optimization algorithm and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, it was determined that among the optimal values of the independent variable, the most optimal response occurs in blade chord length = 0.18 m, rotor radius = 0.4 m, blade pitch angle = −3.27° and number of blades = 4. In these optimal values of the independent variables, the values of the dependent variables, which included the turbine's moment and the blades’ lift force, were obtained as 9.58 N m and 57.89 N, respectively.

Abstract Image

基于遗传算法和响应面方法的垂直轴风力涡轮机双优化组合,利用 CFD 进行数值模拟
本研究基于非稳态雷诺平均纳维-斯托克斯方程,研究了垂直轴风力涡轮机(VAWT)几何形状的计算流体动力学(CFD)模拟。此外,还利用响应面法(RSM)确定了 VAWT 几何参数与两个响应变量(即力矩和升力)之间的关系。然后,使用非支配排序遗传算法(NSGA-II)来解决多目标优化问题。RSM 得出的结果表明,涡轮机的升力对叶片弦长的变化更为敏感,而涡轮机的输出力矩对转子半径的变化更为敏感。利用 NSGA-II 多目标优化算法和与理想解相似度排序法(TOPSIS),确定了在自变量的最优值中,叶片弦长 = 0.18 米、转子半径 = 0.4 米、叶片桨距角 = -3.27°、叶片数 = 4 的响应最优。在这些自变量的最优值中,因变量(包括涡轮机力矩和叶片升力)的值分别为 9.58 N m 和 57.89 N。
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来源期刊
Energy Science & Engineering
Energy Science & Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
6.80
自引率
7.90%
发文量
298
审稿时长
11 weeks
期刊介绍: Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.
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