Téléchargez le livre : Building Energy Management Systems and Techniques

Building Energy Management Systems and Techniques

Principles, Methods, and Modelling

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Elsevier Science


Paru le : 2024-02-21



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Description
Building Energy Management Systems and Techniques: Principles, Methods, and Modelling presents basic concepts, methodologies, modeling techniques, and fundamental design schemes of building energy management systems. Covering the latest developments and methodologies from academia and industry, the book brings together energy management, demand response, evolutionary computation, and fundamental programming.
The authors explore the basic concepts related to building energy management systems and put them into the context of smart grids, demand response and demand-side management, internet of things, and distributed renewable energy. Advanced topics provide the reader with an understanding of various energy management scenarios and procedures for modern buildings in an automatic and highly renewable-penetrated building environment. This includes a range of energy management techniques for building-side energy resources such as battery energy storage systems, plug-in appliances, and HVAC systems. The fundamental principles of evolutionary computation are covered and applied to building energy management problems. The authors also introduce the paradigm of occupant-to-grid integration and its implementation through personalized recommendation technology to guide the occupants’ choices on energy-related products and their energy usage behaviors, as well as to enhance the energy efficiency of buildings. The book includes several application examples throughout, illustrating for the reader the key aspects involved in the implementation of building energy management schemes.
Building Energy Management Systems and Techniques is an invaluable resource for undergraduate and postgraduate students enrolled in courses related to energy-efficient building systems and smart grids and researchers working in the fields of smart grids, smart buildings/homes, and energy demand response. The book will be of use to professional electrical, civil, computing, and communications engineers, architects, and building energy consultants.Integrates the latest techniques in the building energy management paradigm, such as appliance scheduling, peer-to-peer energy trading, and occupant-to-grid integrationProvides extensive application examples to help readers understand the design principles of different building energy management systemsIncludes step-by-step guidance on the methods, modeling techniques, and applications presented in the book, including evolutionary computationsProvides pseudocodes and optimization algorithms for the application examples to enable the reader to gain insight into the modeling details

Elsevier Science & Technology
Pages
320 pages
Collection
n.c
Parution
2024-02-21
Marque
Elsevier Science
EAN papier
9780323961073
EAN PDF
9780323993012
Informations sur l'ebook
Nombre pages copiables
32
Nombre pages imprimables
32
Taille du fichier
27034 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
128,71 €
EAN EPUB SANS DRM
9780323993012
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
128,71 €
Fengji Luo is an Academic Fellow and a Lecturer in the School of Civil Engineering at The University of Sydney. His research interests include power demand response and demand side management, building/home energy management, smart grid, and computational intelligence and its applications in smart grids and smart buildings.Gianluca Ranzi is a Professor in the School of Civil Engineering and Director of the Centre for Advanced Structural Engineering at The University of Sydney. His research interests fall in the fields of structural engineering, architectural science, building energy management and power demand side management, and heritage conservation.Zhao Yang Dong is a Professor in the School of Electrical and Electronics Engineering at Nanyang Technological University, Singapore. His previous roles include Director of UNSW Digital Grid Futures Institute, Ausgrid Chair Professor and Director of Ausgrid Centre for Intelligent Electricity Networks led R&D support for the Smart Grid, Smart City national demonstration project in Australia. He is a Fellow of IEEE for his contributions in computational methods in power system planning and stability. His research interests include smart grid, power demand response and demand side management, energy market and economics, and power system stability and control.

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