The Future of Wind Energy

Description

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. Contents Preface Chapter 1 The Economic Integration of Wind Energy: An Analysis of the ECOWAS Sub-Region Abstract Introduction Methods and Data Pesaran (2003) Test Variance Decomposition Levelized Cost of Energy (LCOE) Comparison of Wind Energy Including Nuclear Lag Selection Criteria Results and Discussions Descriptive Statistics PVAR Forecast Error Variance Decomposition Analysis Levelized Cost of Energy (LCOE) Comparison of Wind Energy Including Nuclear Sensitivity Analysis of Wind Energy and Different Generation Sources Conclusion: Summary of Findings References Chapter 2 A Risk Analysis-Based Selection of the Best Supply Chain using the Gray Approach for Wind Energy Systems Abstract Introduction Literature Review Research Design Gray Approach Methodology Selection of Evaluation Criteria Assignment of Weight to Criteria and Rating for the Supply Chain Calculated the Weighted Normalized Matrix Calculate the Gray Possibilities Ranking the Supply Chain Computation Experiment Conclusion Disclaimer References Chapter 3 Surface Hardness Improvement Techniques for Wind Turbine Gears Abstract Introduction Literature Survey Gear Material Selection and Gear Failures Micro Pitting Macro Pitting Bending Fatigue Fretting Corrosion Axial Cracking Methodology Case Hardening Nitriding Gas Nitriding Salt Bath Nitriding Plasma Nitriding Carburizing Carbonitriding Nitro Carburizing Conclusion Disclaimer References Chapter 4 Comparison of Artificial Neural Network Techniques in Prediction of Wind Speed Using Combinations of Metrological Variables Abstract Introduction Methodology Database Collection Artificial Neural Network (ANN) Models Generalized Regression Neural Network (GRNN) Models Feed Forward Neural Networks with Backpropagation Algorithm (FFNNBA) Implementation of GRNN and FFNN Results and Discussion Wind Speed Prediction Using FFNNBPA Wind Speed Prediction Using GRNN Result Comparison of FFNNBA and GRNN Model Conclusion Disclaimer References Chapter 5 A Machine Learning Approach for Thermodynamic Analysis in Wind Turbine with Optimization Abstract Introduction Literature Review Proposed Methodology An Artificial Neural Network Structure Initialization Input Layer Hidden Layer The Harmony Search (HS) Algorithm Initialization of Solution and Algorithm Parameters Fitness Function Initialize the Harmony Memory (HM) Improvise a New Harmony Update Harmony Memory Optimal Solution Output Layer Results and Discussion Convergence Graph The Error Values of Output Parameters in Different Algorithms Experimental Results and Predicted Values for the Proposed Method Hidden Neuron- Based Thermoeconomic Parameters Conclusion References Chapter 6 Design, Modeling and Analysis of Wind Turbine Gear and Modified Wind Turbine Blades Abstract Introduction Literature Review Design and Construction Power Control Gear Box Arrangements The Design of a Gear Blade Micro Pitting Macropitting Reason for Pitting Power Obtained from Wind Turbines Construction of a Wind Mill Gear Box Methodology and Material Selection Wind Turbine Gear: Design and Analysis Corrective Action Design and Analysis of Wind Turbine Blades Windmill Using a Multi-Generator The Methods’ Guiding Principle Construction of the Methods Power and Torque Transmission in Bevel and Spur Gears Parts of a Windmill Blades Shaft Gear (Bevel Gear) Generator Tower Material Specification Schematic of Wind-Hybrid System The Wind Turbine Design Gear Ratio of Wind Turbine Pitting Analysis of Wind Turbine Blades Eliminating Methods Specification of the Present Double Stage Gear Design Calculation for New Gear (Herringbone Gear) First Stage Gear Revised Calculation Second Stage Gear Comparison Table for Present and New Gear Results and Discussion Analysis of Modified Wind Turbine Blades Double Multiple Stream Tube Model CFD Analysis DMST Analysis Pitting Analysis Conclusion References About the Editors Index Blank Page