A Complete Procedure for Predicting and Improving the Performance of HAWT's

The Science of Making Torque from Wind 2014

Al-Abadi, Ali^1,2 ; Ertunç, Ozgür^1,3 ; Sittig, Florian^1 ; Delgado, Antonio^1

Institute of Fluid Mechanics, FAU Erlangen-Nuremberg, Germany^1

Alkhwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq^2

Ozyegin University, Mechanical Engineering Department, Istanbul, Turkey^3

关键词: Control strategies;    Gradient-based optimization;    Horizontal axis wind turbines;    Operating ranges;    Optimization method;    Power coefficients;    Prediction model;    Rotational speed;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012021/pdf
DOI  :  10.1088/1742-6596/524/1/012021

来源: IOP

【 摘 要 】

A complete procedure for predicting and improving the performance of the horizontal axis wind turbine (HAWT) has been developed. The first process is predicting the power extracted by the turbine and the derived rotor torque, which should be identical to that of the drive unit. The BEM method and a developed post-stall treatment for resolving stall-regulated HAWT is incorporated in the prediction. For that, a modified stall-regulated prediction model, which can predict the HAWT performance over the operating range of oncoming wind velocity, is derived from existing models. The model involves radius and chord, which has made it more general in applications for predicting the performance of different scales and rotor shapes of HAWTs. The second process is modifying the rotor shape by an optimization process, which can be applied to any existing HAWT, to improve its performance. A gradient- based optimization is used for adjusting the chord and twist angle distribution of the rotor blade to increase the extraction of the power while keeping the drive torque constant, thus the same drive unit can be kept. The final process is testing the modified turbine to predict its enhanced performance. The procedure is applied to NREL phase-VI 10kW as a baseline turbine. The study has proven the applicability of the developed model in predicting the performance of the baseline as well as the optimized turbine. In addition, the optimization method has shown that the power coefficient can be increased while keeping same design rotational speed.