The European Union has introduced a revised Energy Performance of Buildings Directive (EPBD) aimed at improving the energy efficiency of non-residential buildings as well as the quality and digitalisation of Energy Performance Certificates. The revision, which came into force at the end of May, emphasizes data collection, system interoperability, and the deployment of smart technologies.
"As energy efficiency experts who focus on alternative solutions to deep renovations and classical retrofitting, we believe that certain sections will initiate a shift towards novel, AI-based solutions," said Donatas Karčiauskas, CEO of Exergio, a company of AI-based energy performance solutions in the Baltics. "Implementing such platforms in commercial buildings is essential for the EU to meet its sustainability goals."
The EPBD introduces a comprehensive methodology for calculating energy performance, incorporating factors such as urban heat island effects, renewable energy use, and smart solutions.
It highlights the importance of accurate data collection and sharing to improve knowledge on building stock and energy consumption. This aligns with AI-based solutions, which utilize real-time data and advanced analytics to optimize building energy performance.
“In many office buildings that we manage, there are numerous meters in each room, generating more than 10,000 data points per building that need to be constantly analyzed and optimized without delays,” added Karčiauskas. “Current AI algorithms are capable of managing this data, that’s why AI solutions are at the forefront. We already use insights from buildings that we manage across Europe, and the ability to enhance current algorithms with more data from large building complexes will benefit every tool in the market.”
For instance, AI can adjust heating and cooling systems based on real-time data, reducing energy use in unoccupied areas and optimizing it before peak usage times. This approach maintains comfort while lowering energy consumption.
“The directive finally supports the deployment of building automation systems and other interoperable technologies. These are key components of solutions alternative to deep renovations that are costly and have a payback period of up to 10 years. AI solutions are much easier to implement and in some cases, the payback period is as short as 1 year,” added Karčiauskas. “If businesses incorporate AI-based energy management tools, we might be able to catch up with net-zero goals for 2050. Unfortunately, all the other scenarios seem to be negative at the moment.”