AI-POWERED VELOCITY PREDICTION AND ENHANCEMENT IN INVELOX WIND TURBINE - Softcover

Kumar, K Ramesh; Raj, M Selva

 
9786203029604: AI-POWERED VELOCITY PREDICTION AND ENHANCEMENT IN INVELOX WIND TURBINE
Softcover
ISBN 10: 6203029602 ISBN 13: 9786203029604
Publisher: LAP LAMBERT Academic Publishing, 2024

Synopsis

Wind energy is a sustainable and viable alternative to fossil fuels. A novel high-performance design, I2NS2F (Integrated omni-directional Intake funnel, Natural fan, Straight diffuser, Splitter, and Flange), has been developed for wind turbines. This design features an intake funnel, natural fan, flow section, exit splitter, and flange. Four configurations were analyzed and optimized using MATLAB Simulink and Ansys Fluent.The I2NS2F design achieved a remarkable wind velocity of 53 m/s at the turbine region with an inlet speed of 5.5 m/s, outperforming other configurations. To address the intermittent nature of wind velocity, an enhanced Deep Learning (DL) model utilizing Long Short-Term Memory (LSTM) optimized with Black Widow and Mayfly algorithms was implemented for velocity prediction. Validated through subsonic wind tunnel tests using 3D-printed miniature models, the model demonstrated high accuracy, establishing its effectiveness for wind velocity prediction and power optimization in INVELOX type wind turbines.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2024
Language
English
ISBN 10 
6203029602
ISBN 13 
9786203029604
Binding
Paperback
Number of pages
168