The Future of Wind Energy

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M. Dhurgadevi, PhD – Associate Professor, Computer Science and Engineering, Mahendra Engineering College, Tamilnadu, India
P. Sakthivel, PhD – Associate Professor, Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India
K. Gunasekaran, PhD – Associate Professor, Computer Science and Engineering, Sri Indhu College of Engineering and Technology, Telengana, India

Series: Renewable Energy: Research, Development and Policies
BISAC: SCI024000; TEC009000; TEC066000
DOI: 10.52305/NUYF7030

This book provides fundamental concepts of wind energy systems and discusses the design issues for the future as well as the challenges in wind energy research. The future of wind energy relies on Artificial Intelligence, Cloud Computing, IoT, Block chain and Big data analytics for Wind energy generation and monitoring.

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Table of Contents

Foreword

Preface

Chapter 1. The Economic Integration of Wind Energy: An Analysis of the ECOWAS Sub-Region
David Alemzero and Sun Huaping
School of Economics and Finance Jiangsu University Zhenjiang, Jiangsu, China

Chapter 2. A Risk Analysis-Based Selection of the Best Supply Chain using the Gray Approach for Wind Energy Systems
S. Santhosh¹, M. Vesvanth² and K. V. Siva Suriya²
¹Department of mechanical engineering, Sri Krishna College of Technology, Coimbatore
Tamilnadu, India
²PG Scholars, College – Audencia Business School, Nates, France

Chapter 3. Surface Hardness Improvement Techniques for Wind Turbine Gears
Dr.P. Sakthivel¹, PhD, and Dr.R. Mani², PhD
¹Department of Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India
²Department of Mechanical Engineering, KSR Institute of Engineering and Technology, Tiruchengode, Tamilnadu, India

Chapter 4. Comparison of Artificial Neural Network Techniques in Prediction of Wind Speed Using Combinations of Metrological Variables
S. Sivakumar¹, W. Rajan Babu², A. Ravikumar³, S. Sam Karthik4, L.Krishna Kumar⁵ and R. Senthilkumar⁶,¹
¹Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
²Department of Electrical and Electronics Engineering Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India
³Department of Computer Science and Engineering, Sridevi Women’s Engineering College, Hyderabad, India
4Department of Electrical and Electronics Engineering, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, Tamilnadu, India
⁵Anna University, Chennai, Tamilnadu, India
⁶Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India

Chapter 5. A Machine Learning Approach for Thermodynamic Analysis in Wind Turbine with Optimization
Dr. K. Gunasekaran¹, Dr.M. Dhurgadevi³ and Vimal Kumar²
¹Department of Computer Science and Engineering, Sri Indhu College of Engineering and Technology, Telungana, India
²Department of Computer Science and Engineering, Mahendra Engineering College, Namakkal, Tamilnadu, India
³Department of Information Technology, Hindustan Institute of Technology, Coimbatore, India

Chapter 6. Design, Modeling and Analysis of Wind Turbine Gear and Modified Wind Turbine Blades
Dr. P. Sakthivel
Department of Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, India

About the Authors

List of Contributors

Index

Questionnaire


Editor’s ORCID iD

M. Dhurgadevi 0000-0002-3156-9545