Smart Buildings Digitalization: IoT and Energy Efficient Smart Buildings Architecture and Applications

The Internet of Things (IoT) and Machine Learning are crucial in smart buildings, enabling energy-efficient operations and optimal resource management. Power generation and distribution are essential components, with power enabling technologies such as Photovoltaic Systems playing a significant role in smart cities.

Format: Hardback
Length: 397 pages
Publication date: 24 February 2022
Publisher: Taylor & Francis Ltd

The Internet of Things (IoT) and Machine Learning (ML) are revolutionizing the way we live and work, and their impact on the built environment is no exception. Smart buildings, which integrate various technologies to enhance efficiency, comfort, and safety, are emerging as a key trend in the real estate industry. In this article, we will explore the various aspects of the role of IoT and ML in smart buildings, including their system architecture, power generation and distribution, and power-enabling technologies for smart cities.

System Architecture:

Smart buildings are designed to be highly efficient and interconnected, allowing for seamless communication and control of various systems and devices. The system architecture of a smart building typically includes the following components:

Internet of Things (IoT) Devices: These devices, such as sensors, cameras, and smart appliances, are connected to the internet and can collect and transmit data. They enable the building to monitor and control various aspects of its operations, such as energy consumption, temperature, humidity, and security.

Cloud Computing: Cloud computing is used to store and process the data collected by IoT devices. It provides a scalable and reliable platform for storing and analyzing large amounts of data, allowing for real-time monitoring and analysis of building performance.

Building Management System (BMS): The BMS is the central control system of a smart building. It manages and controls all the systems and devices within the building, including HVAC, lighting, security, and energy management.

Edge Computing: Edge computing is a distributed computing architecture that brings computing and data storage closer to the edge of the network. It allows for faster processing of data and reduces the latency of communication between devices and the cloud.

Power Generation and Distribution:

Power generation and distribution are critical components of a smart building's system architecture. Traditional power generation methods, such as fossil fuels, are inefficient and contribute to environmental pollution. Smart buildings use renewable energy sources, such as solar and wind power, to generate electricity.

Solar Photovoltaic System: Solar photovoltaic systems are a popular renewable energy source for smart buildings. They convert sunlight into electricity using photovoltaic cells, which can then be used to power the building's systems and devices. Solar panels can be installed on the building's roof or on other surfaces, depending on the availability of sunlight and the building's design.

Wind Turbines: Wind turbines are another renewable energy source for smart buildings. They convert wind energy into electricity using wind turbines, which can be installed on the building's roof or on other surfaces. Wind turbines are more efficient in areas with high wind speeds.

Battery Storage: Battery storage systems are used to store excess energy generated by renewable energy sources during periods of low demand. This energy can be used to power the building's systems and devices during peak demand periods.

Power-Enabling Technologies for Smart Cities:

Smart cities are urban areas that use technology to improve the quality of life for their residents. Smart cities use a variety of power-enabling technologies to improve their energy efficiency and reduce their environmental impact.

Smart Grid: The smart grid is a grid that is equipped with sensors, communication technologies, and automation technologies to improve the efficiency and reliability of electricity distribution. It allows for real-time monitoring and control of electricity distribution, reducing power losses and improving grid stability.

Energy Management Systems: Energy management systems are used to optimize energy consumption and reduce energy costs in smart cities. They monitor and control energy consumption in various buildings and systems, such as HVAC, lighting, and appliances, and can adjust settings to optimize energy efficiency.

Electric Vehicles: Electric vehicles are a key component of smart cities' transportation systems. They emit no greenhouse gases and reduce air pollution, making them a sustainable and environmentally friendly mode of transportation. Electric vehicles can be charged using renewable energy sources, such as solar and wind power.

Conclusion:

The Internet of Things (IoT) and Machine Learning (ML) are transforming the way we live and work, and their impact on the built environment is significant. Smart buildings, which integrate various technologies to enhance efficiency, comfort, and safety, are emerging as a key trend in the real estate industry. In this article, we have explored the various aspects of the role of IoT and ML in smart buildings, including their system architecture, power generation and distribution, and power-enabling technologies for smart cities. As technology continues to advance, we can expect to see more innovative and sustainable smart buildings that will contribute to a greener and more sustainable future.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032061771