AI helps Kolding Municipality with energy optimisations
With the help of artificial intelligence, the public building owner identifies energy waste in the municipality’s buildings. The solution has reduced both time, carbon emissions and operating costs.
Artificial intelligence contributes to the energy optimisation of Kolding Municipality’s buildings.
Kolding Municipality has some ambitious energy-saving goals. That’s why they implemented a new solution, which with the help of artificial intelligence, can identify “sinners” among the municipality’s buildings. It has reduced both carbon emissions and operating costs. Behind the innovative solution is Ento – a young entrepreneurial company that has succeeded in creating value based on energy data.
Finding new ways to make data analysis less time-consuming.
“We have an ambitious energy action plan, so one of my most important tasks is to ensure that we use electricity and heat as efficiently as possible. The operation of our buildings constitutes one of the greatest potentials for energy savings in the municipality at all, so this is something we have a strong focus on,” tells Pernille Bech Darbroudi, energy coordinator at Kolding Kommune.
The municipality already has an energy management program, but it has not been kept up to modern standards. It is too inefficient and time-consuming to manually analyse data from electricity meters to make them concrete and valuable for identifying any energy fluctuations at the municipality’s many schools, stadiums, etc.
Ento helps troubleshooting the municipality's buildings.
Pernille decided to search for new tools and entered into a dialogue with the Danish entrepreneurial company Ento, which has solved similar energy optimisation tasks for other municipalities and companies using artificial intelligence.
She says, “I was primarily concerned with the level of detail that lay in monitoring each property’s energy consumption. Previously, when I contacted the responsible staff at one of our schools due to an unexpected increase in their energy consumption, it was difficult for me to give him a more accurate indication of what 'leak' he should look after. I can do better now. The system captures the exact time and how the usage pattern changes”.
Potential energy savings are now suggested by AI.
Basically, artificial intelligence automatically analyses consumption and suggests potential energy savings – an overview that Pernille has access to via an online portal. The solution is based on electricity data from the utility and includes several other sources to give artificial intelligence a deeper understanding of the energy consumption.
“One of the extraordinary things about the platform is the automatic loading of data, e.g., the weather, holidays and vacations, the building, and even information about the shutdown due to Coronavirus. In this way, we can, for example, avoid an alarm when the school children return from the summer holidays. At the same time, it automatically picks up increases in the usage pattern – something I really appreciate, as I no longer have to go in and analyse myself”.
210 properties are automatically analysed using Ento.
Of the municipality’s total 450 properties, 210 are relevant to analyse. Artificial intelligence has already identified the first handful of buildings, and Pernille expects more, both large and small energy savings along the way.
“We have always been able to access and retrieve electricity meter data from Energinet’s DataHub. But where it really makes a difference for us as users is when the platform adds an extra layer of intelligence that gives us more insight so that we as a organization can become more efficient at optimizing energy. It helps us to reach our energy saving goals faster and ultimately make a difference to the green transition”.
Pernille Bech Darbroudi is the energy coordinator at Kolding Municipality. She is responsible for the energy optimisation in the municipality’s 450 properties and thus also for the reporting of electricity, water, and heat consumption.