AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality
Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Utility Meters
Applicable Industries
- Buildings
- Cities & Municipalities
Use Cases
- Building Energy Management
- Energy Management System
About The Customer
Hørsholm Municipality is a public building owner in Denmark. The municipality is committed to transitioning to a sustainable future and reducing its CO2 emissions. It is actively seeking solutions that do not require significant investments in new technology or a fundamental reorientation of their way of life. The municipality has been working purposefully with artificial intelligence and data-driven energy management since 2021. The project is a collaboration between Hørsholm Municipality, 4B Consulting, and Ento.
The Challenge
Hørsholm Municipality, a public building owner in Denmark, was faced with the challenge of transitioning to a sustainable future. Like many other municipalities, the perception was that sustainable investments often come with high costs. The municipality was also under pressure to reduce its CO2 emissions, a task that required a significant shift in their energy management approach. The challenge was to find a solution that would not only help reduce carbon emissions but also unlock substantial savings. The municipality needed a solution that would not require million-dollar investments in new technology or a fundamental reorientation of their way of life.
The Solution
The solution came in the form of artificial intelligence and 100% data-driven energy management. The municipality partnered with 4B Consulting and Ento to implement this solution. The AI measures electricity consumption on 16 different parameters every hour, which can impact the individual property’s electricity consumption. These parameters include wind speed, wind direction, day of the week, day of the year, a particular time of the day, solar radiation, among others. Apart from electricity consumption, Ento's solution is also used to monitor and analyse district heating, gas and water consumption across the municipality’s property portfolio. The goal is to map consumption data from Hørsholm Municipality’s total building portfolio by 2023 and adjust the municipality’s operation to 100 per cent data-driven energy management.
Operational Impact
Quantitative Benefit
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