Improve the utilization of energy label data with new AI analysis techniques (EMAI)

Challenge

The Danish Energy Agency's EMOWeb contains large amounts of publicly available data on energy labeling. However, the challenge is that much of the data is stored in file formats that are difficult to understand. At the same time, the vast amount of energy labeling data is not being used to improve the quality of energy labels for the Danish building stock. Energy consultants currently rely on knowledge gained through experience and skills development, but each individual consultant may have different areas of focus, meaning that optimization opportunities may be overlooked.

Solution

By using Generative AI to analyze the available data, a chatbot will provide guidance on how to optimize the energy label of a given building based on a comprehensive understanding of the entire dataset. This makes the process more efficient, and the response becomes more qualified because it is based on the full database's information, offering better conditions for predicting the best path to an improved energy label for each building.

Result

The project, which has developed the prototype of the chatbot, will ensure that Danish buildings waste less energy, benefiting both the climate and finances. At the same time, it will optimize the improvements made to buildings, ensuring they are carried out in the most efficient and cost-effective way. It also makes the work easier for multiple parties, such as the carpenter providing a quote for additional insulation, the bank advisor discussing potential energy improvements with the customer, or the real estate agent presenting energy labels before a property can be put up for sale.

"It has been great that Energy Cluster Denmark has supported the project and quickly recognized its value. It has been exciting to challenge the way we think about energy labeling and the underlying data. As a society, we must accelerate the green transition of our building stock, and why not make use of all the data we already have for that purpose? The next step is to find funding to further develop our prototype for the benefit of everyone involved with buildings."

– Jakob Nørby, Data-Driven Energy Consultant and Founder, 4B Consulting