Finding Out About Wind Energy

Did you know that the same wind that messes up your hair can be used to create energy? How exactly do you harness the wind? And what is the effect on the environment? Read this book to find out all about wind energy.

Though wind power has been in use for hundreds of years, it’s one of today’s fastest-growing energy sources. Readers will learn how we have harnessed the wind’s energy with everything from primitive windmills to high-tech wind farms.

Bold color photos and easy-to-read text introduce readers to wind power. Five informative chapters highlight what wind power is, how it works, and why it is a good source of energy. Zoom in even deeper with key stats and bolded glossary terms that make learning fun. Aligned to Common Core Standards and correlated to state standards. Abdo Zoom is a division of ABDO.

This unique volume on wind energy features contributions from the world’s leading research and development pioneers in the field of renewable energy. It discusses advances in offshore wind technology, grid-connected systems, grid stabilization and wind turbine design and highlights. Written from an international perspective, chapters focus on the status of wind energy in various regions and countries across the globe, outlining the positive impact its implementation has had on delaying the catastrophic effects of climate change.

This textbook is intended to provide an introduction to the cross-disciplinary field of wind engineering. It includes end-of-chapter tutorial sections (solutions manual available) and combines both academic and industrial experience.

Wind Energy introduces the reader to this valuable source of energy. Find out what wind energy is and how it can be used to create electricity. Discover why wind energy may become even more important in the future.

"I encourage all those who will read this book, will promote both directly and indirectly the use and awareness of wind energy as a clean and viable source of electric power." —THOMAS ACKERMAN, Ph.D., Wind Power Author and Founder, Energynautics GmbH, Germany "Those who will read this book, will be well prepared to work in the wind power sector and participate in the important task to develop a renewable energy system which can stop the global climate change." —TORE WIZELIUS, Wind Power Author, Teacher and Wind Project Developer, Sweden "This book provides a valuable technical information on small wind turbines that will allow students to become amateur wind engineers and entrepreneurs in this growing industry." —Urban Green Energy, USA This comprehensive textbook, now in its third edition, incorporates significant improvements based on the readers' suggestions and demands. It provides engineering students with the principles of different types of grid connected renewable energy sources and, in particular, the detailed underpinning knowledge required to understand the different types of grid connected wind turbines. New to the Third Edition • Revised Chapter 1 providing considerable amount of current information and technologies related to various types of renewable energy technologies • One new chapter on 'Electronics in Renewable Energy Systems' (Chapter 15) Designed as a textbook for Renewable Energy courses offered in the most of the Indian universities, the book not only serves for the one-semester stream-specific course on Renewable Energy or Wind Energy for diploma and senior level undergraduate students of electrical, mechanical, electronics and instrumentation engineering, but also for the postgraduate engineering students undertaking energy studies. TARGET AUDIENCE • B.Tech/M.Tech (EEE/ECE/ME) • Diploma (engineering)

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author's book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights