Optimization Uncertainty And Machine Learning In Wind Energy Conversion Systems

Optimization, Uncertainty and Machine Learning in Wind Energy Conversion Systems

This book presents state-of-the-art technologies in wind farm layout optimization and control to improve the current industry/research practice. The contents take readers towards a different kind of uncertainty handling through the discussion on several techniques enabling maximum energy harnessing out of uncertain situations. The book aims to give a detailed overview of such concepts in the first part, where the recent advancements in the fields of (i) Wind farm layout optimization, (ii) Multi-objective Optimization and Uncertainty handling in optimization methods, (iii) Development of Machine Learning-based surrogate models in optimization, and (iv) Different types of wake models for wind farms will be discussed. The second part will cover the application of the aforementioned techniques on the wind farm layout optimization and control through several chapters such as (i) Wind farm performance assessment using Computational Fluid Dynamics (CFD) tools, (ii) Artificial Neural Network (ANN) based hybrid wake models, (iii) Long Short-term Memory (LSTM) & Support Vector Regression (SVR) based forecasting and micro-siting, (iv) windfarm micro-siting using data-driven Robust Optimization (RO) as well as Generative Adversarial Networks (GANs), (v) Reinforcement learning (RL) based wind farm control and (vi) Application of eXplainable AI (XAI) tools for interpreting wind time-series data. In this manner, the book provides state-of-the-art techniques in the fields of multi-objective optimization, Evolutionary Algorithms, Machine Learning surrogate models, Bayesian Optimization, Data Analysis, and Optimization under Uncertainty and their applications in the field of wind energy generation that can be extremely generic and can be applied to many other engineering fields. This volume will be of interest to those in academia and industry.

Wind Energy Engineering

Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines, Second Edition continues to be the most advanced, up-to-date and research-focused text on all aspects of wind energy engineering. Covering a wider spectrum of topics in the field of wind turbines (offshore and onshore), this new edition includes new intelligent turbine designs and optimization, current challenges and efficiencies, remote sensing and smart monitoring, and key areas of advancement, such as floating wind turbines. Each chapter includes a research overview with a detailed analysis and new case studies looking at how recent research developments can be applied. Written by some of the most forward-thinking professionals in the field, and giving a complete examination of one of the most promising and efficient sources of renewable energy, this book is an invaluable reference into this cross-disciplinary field for engineers. - Offers an all-around understanding of the links between worldwide resources, including wind turbine technology, electricity and environmental issues, and economics - Provide the very latest research and development in over 33 fields of endeavor related to wind power - Includes extensive sets of references in each chapter, giving readers all the very latest thinking and information on each topic

Advanced technologies for planning and operation of prosumer energy systems