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25 Feb 2023


Jonathan Carroll
Director & Engineering Manager


hmad, T., Rehman, S., & Kim, S. (2020). Artificial intelligence in energy management systems for smart buildings: A review. Renewable and Sustainable Energy Reviews, 124, 109793. Giebel, G., & Schumann, J. (2021). Application of artificial intelligence for building automation and energy management. Energy and AI, 3, 100034. Electrical Projects Australia. (2022). Energy Monitoring System. https://www.electricalprojects.com.au/energy-monitoring-system/.

Artificial Intelligence (AI) has been utilized in various industries to increase efficiency and productivity. One of the industries where AI has shown significant potential is electrical engineering and building services. AI has been used in building automation and energy management to enhance energy efficiency, reduce energy consumption, and improve sustainability.

Building automation refers to the automatic control of various building systems, such as lighting, heating, ventilation, and air conditioning (HVAC), using sensors and control systems. Energy management, on the other hand, involves monitoring and controlling energy usage to reduce energy costs and minimize the impact on the environment. AI can play a crucial role in both building automation and energy management by providing accurate, real-time data and analytics that can be used to optimize energy usage and improve efficiency.

One example of real-world research and implementation of AI in electrical engineering and building services is the development of an energy monitoring system that estimates heavily loaded periods ahead of time. This system provides inputs to turn the output of an Electrical Vehicle Charger and provides an early warning to the owner that their vehicle may not be charged on an upcoming day to conserve power and secure their power supply. Electrical Projects Australia is looking to implement this system, and it has the potential to revolutionize energy management in buildings.

The energy monitoring system uses AI algorithms to analyze real-time energy usage data and predict when the demand for electricity will be highest. By estimating heavily loaded periods ahead of time, the system can alert building owners or facility managers of potential power shortages or load surges. This allows them to take proactive steps to reduce energy consumption and avoid peak energy usage times.

One of the significant benefits of this system is that it helps building owners optimize their energy usage while still providing the necessary power to run essential equipment and systems. For example, if the energy monitoring system detects a heavy load period coming up, it can alert the building management system to turn down the heating or cooling system or turn off non-essential lighting to reduce energy consumption. Additionally, it can turn down the output of the Electrical Vehicle Charger to conserve power and ensure that there is enough energy available for other critical systems.

In conclusion, the implementation of AI in electrical engineering and building services has the potential to revolutionize energy management, increase energy efficiency, and reduce costs. The energy monitoring system developed by Electrical Projects Australia is a great example of how AI can be used to estimate heavily loaded periods ahead of time, providing an early warning to building owners and facility managers about potential power shortages or surges. With continued research and implementation, AI has the potential to transform the energy industry and help create a more sustainable future.

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