Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction

Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction

Wind turbine blades experience excessive load due to inaccuracies in the prediction of aerodynamic loads by conventional methods during design, leading to structural failure. The blade element momentum (BEM) method is possibly the oldest and best-known design tool for evaluating the aerodynamic perf...

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Bibliographic Details
Main Authors: Ijaz Fazil Syed Ahmed Kabir, Mohan Kumar Gajendran, E. Y. K. Ng, Amirfarhang Mehdizadeh, Abdallah S. Berrouk
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Wind
Subjects:
wind turbine aerodynamics
rotational augmentation
stall delay
blade element momentum method
symbolic regression
simulated annealing
Online Access:https://www.mdpi.com/2674-032X/2/4/34

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