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Building energy management systems and techniques : principles, methods, and modelling /

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...

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Bibliographic Details
Main Authors: Luo, Fengji (Author), Ranzi, Gianluca (Author), Dong, Zhao Yang (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam, Netherlands : Elsevier, 2024.
Subjects:
Buildings > Energy conservation.
Environmental engineering.
Constructions > Économies d'énergie.
Technique de l'environnement.
environmental engineering.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Building Energy Management Systems and Techniques: Principles, Methods, and Modelling
  • Copyright
  • Contents
  • Preface
  • Chapter 1: Introduction
  • 1.1. Introduction to building energy management systems
  • 1.1.1. Background
  • 1.1.2. Building energy management systems
  • 1.1.3. Energy management strategies and algorithms in BEMSs
  • 1.2. BEMSs in smart grids
  • 1.2.1. Smart grids
  • 1.2.2. Grid-interactive building energy management
  • 1.3. Benefits of BEMSs
  • 1.4. Layout of the book
  • References
  • Chapter 2: Energy sources in building systems
  • 2.1. Introduction
  • 2.2. Wind power
  • 2.2.1. Introduction to wind turbines
  • 2.2.2. Wind power integration in buildings
  • 2.2.3. Wind power output model
  • 2.2.4. Worked example
  • 2.3. Solar energy
  • 2.3.1. Overview
  • 2.3.2. Solar thermal energy and its applications in buildings
  • 2.3.3. Photovoltaic solar power and its applications in buildings
  • 2.3.4. PV solar power model
  • 2.3.5. Worked example
  • 2.4. Energy storage systems
  • 2.4.1. Overview
  • 2.4.2. BESSs and their application in buildings
  • References
  • Chapter 3: Information infrastructure for building energy management
  • 3.1. Introduction
  • 3.2. Building automation systems
  • 3.3. Building Internet-of-Things
  • 3.4. Cloud computing
  • 3.4.1. Introduction to cloud computing
  • 3.4.2. Introduction to edge computing
  • 3.4.3. Cloud- and edge-computing-supporting BEMSs
  • 3.5. An integrated information infrastructure for BEMSs
  • References
  • Chapter 4: Power demand response and demand side management
  • 4.1. Introduction
  • 4.2. Basic concepts
  • 4.2.1. Electricity
  • 4.2.2. Electric current and voltage
  • 4.2.3. Electrical power and energy
  • 4.2.4. Worked example
  • 4.3. Power systems
  • 4.4. Smart grids
  • 4.4.1. Overview
  • 4.4.2. High penetration of renewable energy
  • 4.4.3. Highly deregulated structure
  • 4.4.4. Self-healing and fault tolerance
  • 4.4.5. Two-way communication between end electricity consumers and the grid
  • 4.5. Demand response and demand side management
  • 4.5.1. Basics of demand response and demand side management
  • 4.5.2. Advanced metering infrastructure
  • 4.6. Demand response for grid peak power reduction
  • 4.6.1. Introduction
  • 4.6.2. Case study of static DSM: The Binda-Bigga fuel substitution project
  • 4.6.3. Application example of a dynamic DSM for grid peak power reduction
  • 4.7. Incentive-based demand side management
  • 4.8. Price-based demand side management
  • 4.8.1. Introduction
  • 4.8.2. Electricity tariffs for energy customers
  • 4.9. Application example
  • 4.10. Comparison between incentive- and price-based DSM strategies
  • References
  • Chapter 5: Building energy management systems
  • 5.1. Introduction
  • 5.2. Overview of a building energy management system and its operations
  • 5.2.1. Overview
  • 5.2.2. Roles of BEMSs
  • 5.2.3. Benefits of BEMSs
  • 5.3. Typical energy resources managed by BEMSs
  • 5.3.1. Power generation sources