Orthogonal Analysis Based Performance Optimization for Vertical Axis Wind Turbine

Abstract

Geometrical shape of a vertical axis wind turbine (VAWT) is composed of multiple structural parameters. Since there are interactions among the structural parameters, traditional research approaches, which usually focus on one parameter at a time, cannot obtain performance of the wind turbine accurately. In order to exploit overall effect of a novel VAWT, we firstly use a single parameter optimization method to obtain optimal values of the structural parameters, respectively, by Computational Fluid Dynamics (CFD) method; based on the results, we then use an orthogonal analysis method to investigate the influence of interactions of the structural parameters on performance of the wind turbine and to obtain optimization combination of the structural parameters considering the interactions. Results of analysis of variance indicate that interactions among the structural parameters have influence on performance of the wind turbine, and optimization results based on orthogonal analysis have higher wind energy utilization than that of traditional research approaches.

Basic Framework and Main Methods of Uncertainty Quantification

“…e orthogonality makes it possible to achieve the equivalent result with the least number of experiments as a large number of comprehensive experiments. erefore, orthogonal table design is an efficient, fast, and economic multifactor test design method [80].…”

Performance Improvement of a Micro Impulse Water Turbine Based on Orthogonal Array

“…An orthogonal experimental design considering the interactions was used to obtain an optimized wind rotor to improve energy utilization of vertical axis wind turbine. Three factors including radius of curvature, installation angle, and central angle of small arc were selected in this orthogonal experimental design [18]. The effect degree of main geometry factors of splitter blade on the performance of pump as turbine was obtained (in order, the outlet deflection angle, the outlet diameter, the number of blades, and the blades circumferential biasing degrees) based on the L 9 (3 4 ) orthogonal design method [19].…”