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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://doab-dev.siscern.org/handle/20.500.12854/158867
            Keywords
            energy efficiency; Energy Saving; Optimal Control; Pumping Stations; Fan Stations; Electric Vehicles; Electric Trains; Power Stations; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization
            DOI
            10.1007/978-981-97-4492-3
            ISBN
            9789819744923, 9789819744916
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Singapore, 2024
            Imprint
            Springer Nature Singapore
            Pages
            446
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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