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

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 ef...

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Huvudupphov: Yao, Fulai, Yao, Yaming
Materialtyp: Online
Språk:engelska
Utgiven: Springer Nature 2024
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Länkar:ONIX_20240716_9789819744923_45
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author Yao, Fulai
Yao, Yaming
author_browse Yao, Fulai
Yao, Yaming
author_facet Yao, Fulai
Yao, Yaming
author_sort Yao, Fulai
collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-1424062024-07-23T04:23:59Z Efficient Energy-Saving Control and Optimization for Multi-Unit Systems Yao, Fulai Yao, Yaming 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 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. 2024-07-23T04:23:57Z 2024-07-23T04:23:57Z 2024-07-16T18:52:15Z 2024 book ONIX_20240716_9789819744923_45 https://library.oapen.org/handle/20.500.12657/92366 9789819744923 9789819744916 https://directory.doabooks.org/handle/20.500.12854/142406 eng open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/92366/1/978-981-97-4492-3.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-97-4492-3 10.1007/978-981-97-4492-3 9fa3421d-f917-4153-b9ab-fc337c396b5a 9789819744923 9789819744916 Springer Nature Singapore 446 Singapore open access
spellingShingle 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
Yao, Fulai
Yao, Yaming
Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title_full Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title_fullStr Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title_full_unstemmed Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title_short Efficient Energy-Saving Control and Optimization for Multi-Unit Systems
title_sort efficient energy saving control and optimization for multi unit systems
topic 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
topic_facet 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
url ONIX_20240716_9789819744923_45
work_keys_str_mv AT yaofulai efficientenergysavingcontrolandoptimizationformultiunitsystems
AT yaoyaming efficientenergysavingcontrolandoptimizationformultiunitsystems