Building Energy Management Systems and Techniques

Principles, Methods, and Modelling

1st Edition - February 21, 2024
Authors: Fengji Luo, Gianluca Ranzi, Zhao Yang Dong
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 6 1 0 7 - 3
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 3 0 1 - 2

Building Energy Management Systems and Techniques: Principles, Methods, and Modelling presents basic concepts, methodologies, modeling techniques, and fundamental design schemes of… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Preface
Chapter 1 Introduction
Abstract
1.1 Introduction to building energy management systems
1.2 BEMSs in smart grids
1.3 Benefits of BEMSs
1.4 Layout of the book
References
Chapter 2 Energy sources in building systems
Abstract
2.1 Introduction
2.2 Wind power
2.3 Solar energy
2.4 Energy storage systems
References
Chapter 3 Information infrastructure for building energy management
Abstract
3.1 Introduction
3.2 Building automation systems
3.3 Building Internet-of-Things
3.4 Cloud computing
3.5 An integrated information infrastructure for BEMSs
References
Chapter 4 Power demand response and demand side management
Abstract
4.1 Introduction
4.2 Basic concepts
4.3 Power systems
4.4 Smart grids
4.5 Demand response and demand side management
4.6 Demand response for grid peak power reduction
4.7 Incentive-based demand side management
4.8 Price-based demand side management
4.9 Application example
4.10 Comparison between incentive- and price-based DSM strategies
References
Chapter 5 Building energy management systems
Abstract
5.1 Introduction
5.2 Overview of a building energy management system and its operations
5.3 Typical energy resources managed by BEMSs
5.4 Main functional features of BEMSs
References
Chapter 6 Building power load forecasting
Abstract
6.1 Introduction
6.2 Explanatory and time series STLF models
6.3 Exponential smoothing-based STLF
6.4 ARIMA-based STLF
6.5 ANN-based STLF
6.6 Introduction to deep neural network-based STLF
References
Chapter 7 Evolutionary optimization
Abstract
7.1 Introduction
7.2 Illustrative optimization example
7.3 Introduction to evolutionary algorithms
7.4 Genetic algorithm
7.5 Particle swarm optimization
7.6 Differential evolution algorithm
7.7 Control parameters of evolutionary algorithms
7.8 Evolutionary algorithms applied to benchmark functions
7.9 Remarks for evolutionary optimization
References
Chapter 8 Energy management of building-integrated battery energy storage systems
Abstract
8.1 Introduction
8.2 Types of BESSs in building applications
8.3 Model of a BESS
8.4 BESS integration for emergency power backup for buildings
8.5 BESS integration for time-varying energy tariff
8.6 BESS integration with on-site renewable energy
8.7 Optimization-based BESS energy management
8.8 Introduction to vehicle-to-building/home integration
References
Chapter 9 Energy management of flexible electric appliances
Abstract
9.1 Introduction
9.2 Modeling time shiftable appliances
9.3 Modeling power adjustable appliances
9.4 A simple energy management scheme for TSAs
9.5 A simple energy management schemes for PAAs
9.6 Energy management for TSAs: An optimization-based approach
9.7 Energy management scheme for both TSAs and PAAs with renewable energy penetration: An optimization-based approach
References
Chapter 10 Energy management of HVAC systems
Abstract
10.1 Introduction
10.2 Introduction to HVAC systems
10.3 Thermal model for the modeling of indoor conditions
10.4 Model representation for the operation of an HVAC
10.5 Evaluation of the HVAC's energy consumption and energy cost
10.6 Energy management of HVACs with varying set-temperatures
10.7 Pre-heating/cooling-based HVAC energy management
10.8 HVAC energy management for renewable energy accommodation
References
Chapter 11 Energy sharing among buildings
Abstract
11.1 Introduction
11.2 An internal energy-sharing pricing scheme for buildings
11.3 Peer-to-peer energy trading among buildings
11.4 Blockchain-enabled P2P energy trading
References
Chapter 12 Building-to-grid integration
Abstract
12.1 Introduction
12.2 From direct load control to building-to-grid integration
12.3 Building energy management for peak-to-average ratio optimization
12.4 A building-to-grid system for emergency load shedding
References
Chapter 13 Buildings and microgrids
Abstract
13.1 Introduction
13.2 Introduction to microgrids
13.3 Buildings in a microgrid
13.4 Operating a building as an off-grid microgrid during power outages
References
Chapter 14 Occupant-to-grid integration
Abstract
14.1 Introduction of occupant-to-grid integration
14.2 Introduction to personalized recommendation technology
14.3 Application example: Personalized building-side renewable investment recommendation system
14.4 Other applications of personalized recommendation in occupant-side energy systems
References
Index

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Building Energy Management Systems and Techniques

Principles, Methods, and Modelling

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Fengji Luo

Gianluca Ranzi

Zhao Yang Dong