The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost. Renewable Energy for Buildings is suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems.
- Examines the most recent developments in building energy systems;
- Looks at practical applications and theoretical aspects;
- Includes case studies.
Author(s): Milad Sadat-Mohammadi, Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Houtan Jebelli
Series: Green Energy and Technology
Publisher: Springer
Year: 2022
Language: English
Pages: 128
City: Cham
Contents
About the Editors
Introduction and Literature Review of Building Components with Passive Thermal Energy Storage Systems
Introduction
Sensible Heat Storage
Storage Mediums with High Heat Capacity
Stone
Earth
Brick
Concrete
Solar Walls
Trombe Wall
Water Wall
Latent Heat Storage
Incorporation in Wall Construction
Direct Incorporation
Immersion
Impregnation
Encapsulation in Building Walls
Macroencapsulation
Microencapsulation
Form-Stable Composite and Shape-Stabilized PCM
Conclusion
References
The Impact of Large Deployment of Distributed Solar Photovoltaic at the Urban Scale on the Building Performance and the Correl...
Introduction
Solar PV Generation Potential for Buildings
Buildings´ Energy and Electrical Demand
The Impact of PV Deployment at the Urban Scale
Solar Design
The Correlation Between PV Energy Production and the Electricity Demand
Performance-Based Design Process
Conventional Design Process
Parametric Design Process
Generative Design
Optimization
Electrification of End-Use Services and Future Impact on the Electric System
Conclusion
References
Deep Learning-Assisted Solar Radiation Forecasting for Photovoltaic Power Generation Management in Buildings
Introduction
Deep Learning-Based Methodologies
Convolutional Neural Network (CNN)
Long Short-Term Memory (LSTM)
Solar Radiation Forecasting Results
Conclusion
References
A Survey on Home Energy Management Systems with Viewpoints of Concepts, Configurations, and Infrastructures
Introduction
HEMS Overview
Concept
Capabilities and Features of HEMS
Functionalities of HEMS
HEMS Infrastructures
Communication and Networking System
Smart Meter
Center of Systems that Manage Home Energy Consumption
Home Gadgets
Intelligent HEMS for Smart Homes
Applications of Intelligent Control Techniques
Exchange Protocols and Role of the Smart Sensors
Load and Energy Scheduling Techniques
Programmable Home Appliance Consumption Planning Methods for HEMS
Motivation-Based Demand Response Programs Methods
Household Appliances Modeling and Control Schematic
Conclusions
References
Optimal Energy Management of Residential Buildings to Supply Controllable and Uncontrollable Loads Under Uncertainty
Introduction
Modeling of Residential Building
Mathematical Modeling
Objective Function
Power Balance
Network Constraint
CHP
Photovoltaic
Gas Boiler
Battery Energy Storage
Electric and Absorption Chillers
Electric Heat Pump
Controllable Heating and Cooling Loads
ON/OFF Electric Loads
Mathematical Model of Robust Optimization
Robust Uncertainty Management Model of the Residential Building
Simulation and Numerical Results
Input Data
Simulation Results
Conclusion
References
Occupancy Data Sensing, Collection, and Modeling for Residential Buildings
Introduction
The Impact of Occupants on Energy Consumption
Occupancy Data Sensing, Collection, and Management for Buildings
Occupancy Data Types and Categorization
Sensor-Based Occupancy Data Collection
Survey-Based Occupancy Data Collection
Occupancy Data for Energy Management
Occupancy Behaviors Impacting Energy Performance of Buildings
Methods of Occupancy Modeling
Influencing Occupant Behavior
Conclusions
References
Index
