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Efficient Energy-Saving Control and Optimization for Multi-Unit Systems

A Guide for Electrical Engineers

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  • Open Access
  • © 2024

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Overview

  • Provides simple and practical methods for energy efficiency optimization of the systems
  • Is highly versatile for energy efficiency optimization of nonlinear and integer-real hybrid systems
  • Covers a wide range of applications in generation, transmission, and power consumption systems
  • This book is open access, which means that you have free and unlimited access
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About this book

This open access book focuses on energy efficiency optimization control methods and energy efficiency optimization methods. The mathematical proof of the multi-unit operation energy efficiency prediction theory and engineering application solutions are given. By analyzing the commonalities of the efficiency curves of different devices and using the quantum optimization method proposed in the book, a nonlinear, integer-real-number mixed energy efficiency optimization method under constrained conditions has been demonstrated. Twelve application cases, including hydropower plants, transmission networks, distribution stations, water pumping stations, high-speed trains, electric vehicles, electric ships, central air conditioning systems, central heating systems, wind power hydrogen production and multi-engine rockets, have been studied in detail. A key feature of this book is that the energy efficiency optimization of the system can be achieved without establishing a complex mathematical model of the multi-unit system, this method is simple, practical, widely applicable and versatile. It is particularly suitable for readers who are interested in learning about energy efficiency optimization and energy saving and carbon reduction solutions. This book can benefit researchers, engineers and graduate students in the fields of electrical and electronic engineering, control engineering, power engineering and energy engineering.

Keywords

Table of contents (26 chapters)

Authors and Affiliations

  • School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

    Fulai Yao

  • Beijing IAO Technology Development Company, Beijing, China

    Yaming Yao

About the authors

Fulai Yao is "Gold Medal Author" and "Author of Top 100 Works of the 70th Anniversary" of China Machine Press. As the first author, he published 13 books, translated 1 book, published more than 100 papers in Chinese and English and was the first inventor of more than 100 patents. He has completed a large number of electrical control projects. His book "Electrical Automation Engineer Crash Course" has been reprinted more than 20 times as a bestseller, and the book "Automation Equipment and Engineering Design. Installation. Debug. Fault Diagnosis" has been reprinted more than 10 times. One of the companies he founded was ranked 29th among the top 100 unlisted companies in China by Forbes in 2014.

 

Yaming Yao is the director and engineer of the energy-saving engineering department of Beijing IAO Company. He has completed many optimization and energy-saving renovation projects of water supply systems, and researched and completed scientific and technological projects such as air water extraction desert plant irrigation devices and multi-station laser die-cutting machines. He has participated in the writing of 10 books, published 4 papers, and is the inventor of 13 patented technologies.

Bibliographic Information

  • Book Title: Efficient Energy-Saving Control and Optimization for Multi-Unit Systems

  • Book Subtitle: A Guide for Electrical Engineers

  • Authors: Fulai Yao, Yaming Yao

  • DOI: https://doi.org/10.1007/978-981-97-4492-3

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2024

  • Hardcover ISBN: 978-981-97-4491-6Published: 12 July 2024

  • Softcover ISBN: 978-981-97-4494-7Due: 26 July 2025

  • eBook ISBN: 978-981-97-4492-3Published: 11 July 2024

  • Edition Number: 1

  • Number of Pages: XVII, 446

  • Number of Illustrations: 215 b/w illustrations, 136 illustrations in colour

  • Topics: Control and Systems Theory, Energy Systems, Optimization

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