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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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
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Amsterdam, Netherlands :
Elsevier,
2024.
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| On-line přístup: | ScienceDirect |
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| 100 | 1 | |a Luo, Fengji, |e author. | |
| 245 | 1 | 0 | |a Building energy management systems and techniques : |b principles, methods, and modelling / |c Fengji Luo, Gianluca Ranzi, Zhao Yang Dong. |
| 264 | 1 | |a Amsterdam, Netherlands : |b Elsevier, |c 2024. | |
| 300 | |a 1 online resource. | ||
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| 520 | |a 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. | ||
| 504 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ScienceDirect, viewed March 4, 2024). | |
| 520 | |a 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 | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 650 | 0 | |a Buildings |x Energy conservation. | |
| 650 | 0 | |a Environmental engineering. | |
| 650 | 6 | |a Constructions |x Économies d'énergie. |0 (CaQQLa)201-0145711 | |
| 650 | 6 | |a Technique de l'environnement. |0 (CaQQLa)201-0023879 | |
| 650 | 7 | |a environmental engineering. |2 aat |0 (CStmoGRI)aat300054483 | |
| 650 | 7 | |a Buildings |x Energy conservation |2 fast |0 (OCoLC)fst00841028 | |
| 650 | 7 | |a Environmental engineering |2 fast |0 (OCoLC)fst00912934 | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Ranzi, Gianluca, |e author. | |
| 700 | 1 | |a Dong, Zhao Yang, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Luo, Fengji |t Building Energy Management Systems and Techniques |d San Diego : Elsevier,c2024 |z 9780323961073 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780323961073 |