Ento Case Studies AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality

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	AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality Ento

AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality

Ento

Technology Category	Analytics & Modeling - Machine Learning Sensors - Utility Meters
Applicable Industries	Buildings Cities & Municipalities
Use Cases	Building Energy Management Energy Management System
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Sensors - Utility Meters

Applicable Industries

Buildings

Cities & Municipalities

Use Cases

Building Energy Management

Energy Management System

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.

About 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.

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.

Impact #1	The implementation of AI and data-driven energy management has not only helped Hørsholm Municipality reduce its CO2 emissions but also unlocked substantial savings. The solution has proven to be a healthy financial decision for the municipality. The success of the project has exceeded all expectations and has led to the initiation of other projects with data-driven energy management in the municipality. The experiences from Hørsholm Municipality are backed by a new report from the national interest organisation Synergi, further validating the effectiveness of the solution.

Impact #1

The implementation of AI and data-driven energy management has not only helped Hørsholm Municipality reduce its CO2 emissions but also unlocked substantial savings. The solution has proven to be a healthy financial decision for the municipality. The success of the project has exceeded all expectations and has led to the initiation of other projects with data-driven energy management in the municipality. The experiences from Hørsholm Municipality are backed by a new report from the national interest organisation Synergi, further validating the effectiveness of the solution.

Benefit #1	The project has led to substantial energy savings for the municipality.
Benefit #2	The AI measures electricity consumption on 16 different parameters every hour, providing detailed data for energy management.
Benefit #3	The solution is used to monitor and analyse district heating, gas and water consumption across the municipality’s property portfolio.

Benefit #1

The project has led to substantial energy savings for the municipality.

Benefit #2

The AI measures electricity consumption on 16 different parameters every hour, providing detailed data for energy management.

Benefit #3

The solution is used to monitor and analyse district heating, gas and water consumption across the municipality’s property portfolio.

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Overview

AI and Data-Driven Energy Management: A Case Study of Hørsholm Municipality

Operational Impact

Quantitative Benefit