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

    A Guide for Electrical Engineers

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    Author(s)
    Yao, Fulai
    Yao, Yaming
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/92366
    Keywords
    energy efficiency; Energy Saving; Optimal Control; Pumping Stations; Fan Stations; Electric Vehicles; Electric Trains; Power Stations
    DOI
    10.1007/978-981-97-4492-3
    ISBN
    9789819744923, 9789819744916, 9789819744923
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Singapore, 2024
    Imprint
    Springer Nature Singapore
    Classification
    Automatic control engineering
    Electrical engineering
    Optimization
    Pages
    446
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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