Chapter 19 - Modeling and optimization of performance of a straight bladed H-Darrieus vertical-axis wind turbine in low wind speed condition: a hybrid multicriteria decision-making approach

Abstract

The present work performs a detailed modeling and optimization of the performance of a straight-bladed NACA 0012 H-Darrieus vertical-axis wind turbine (VAWT) with a trialing edge twist using integrated entropy–multicriteria ratio analysis (MCRA) method. Here entropy method is used for the extraction of precise priority weights while MCRA method is employed for obtaining optimal process parameters for VAWT. In this work, a total of 55 trials are performed by varying five input parameters (wind speed [WS], turbine rotational speed [TRS], blade speed [BS], tip speed ratio [TSR], and wind blockage factor [WBF]), and the corresponding output or performance parameters, namely torque (T), power coefficient (PC), and torque coefficient (TC) are determined. Finally from different combinations of input/output parameters, the most optimal parameters for the VAWT are determined via entropy–MCRA method. The optimal setting (trial no. 13) is obtained at TRS=1498rpm, BS=14.261m/s, WS=5.648m/s, WBF=0.293, and TSR=2.524, which give optimal performance responses, that is, T=0.719Nm, PC=0.237, and TC=0.093 that directly or indirectly increase performance of the VAWT. In addition, parametric analysis is performed to study the effect of each input parameters on output parameters of VAWT. It is observed that the parameters TRS, TSR, and WS found greater effect on the VAWT performance. In the end, the optimal performance value of the VAWT is verified by confirmatory tests.