AI Reduces Smart Building Energy Management by 19%

Using AI and open access data can significantly reduce energy consumption in buildings, as highlighted in a recent report. Exergio, a company based in Lithuania, has demonstrated the potential for energy savings of up to 40% in smart buildings. Real-world success stories, such as a site in Poznan, Poland, achieving 20% reductions in energy waste using the Exergio AI platform, showcase the tangible benefits of integrating AI into building operations.

The reach of Exergio extends beyond Lithuania, with ongoing projects in various countries including Poland, the United Kingdom, Ireland, the Czech Republic, Hungary, Oman, Sweden, and more. The company's CEO, Donatas Karčiauskas, emphasized the crucial role of AI in optimizing building operations and energy performance. He stated, "AI offers real-world solutions that are implementable and align with the latest tools available. With the updated EU directive encouraging energy data sharing, the potential for energy savings using AI is expected to further improve."

The study titled "Potential of Artificial Intelligence in Reducing Energy and Carbon Emissions of Commercial Buildings at Scale" delves into the impact of AI on medium office buildings in the United States. It identifies key areas where AI can drive significant improvements, particularly in enhancing HVAC systems and lighting efficiency. By learning and predicting optimal operating conditions, AI can dynamically adjust heating, cooling, and lighting based on real-time occupancy data, leading to reduced energy consumption during off-hours.

According to Karčiauskas, the findings of the study align with Exergio's projects. The integration of AI allows for precise control over building systems, enabling real-time adjustments 24/7. In office buildings managed by Exergio, AI analyzes thousands of data points to optimize energy performance. During off-hours, energy usage in unoccupied areas is minimized, while it ramps up just before peak usage times, balancing comfort and efficiency.

The study underscores the importance of integrated energy management in smart buildings as a crucial strategy for achieving substantial emissions reductions and operational savings. Furthermore, it highlights the economic potential of AI in building digitalization, attracting investors and setting new sustainability standards. As regulations in the EU push towards sustainable solutions, the adoption of AI in commercial buildings is poised to drive significant progress in reducing greenhouse gas emissions.