AI-POWERED VELOCITY PREDICTION AND ENHANCEMENT IN INVELOX WIND TURBINE

Language: English

Published by LAP LAMBERT Academic Publishing, 2024

6203029602 / 9786203029604

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9786203029604

Title
AI-POWERED VELOCITY PREDICTION AND ENHANCEMENT IN INVELOX WIND TURBINE
Author
M Selva Raj
Publisher
LAP LAMBERT Academic Publishing
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203029602
ISBN 13
9786203029604
Item weight
268 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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AHA-BUCH GmbH

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Einbeck, Germany 37574