Ento Case Studies AI-Driven Energy Optimization in Kolding Municipality

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	AI-Driven Energy Optimization in Kolding Municipality Ento

AI-Driven Energy Optimization in Kolding Municipality

Ento

Technology Category	Analytics & Modeling - Machine Learning Sensors - Utility Meters
Applicable Industries	Buildings Cities & Municipalities
Use Cases	Continuous Emission Monitoring Systems Water Utility Management
Challenge	Kolding Municipality, a public building owner, was facing challenges in achieving its ambitious energy-saving goals. The existing energy management program was outdated and inefficient, making it a time-consuming task to manually analyze data from electricity meters. This inefficiency made it difficult to identify energy fluctuations in the municipality’s numerous properties, including schools and stadiums. The municipality needed a modern, efficient solution to identify energy waste and optimize energy consumption in its buildings. Read More
About Customer	Kolding Municipality is a public building owner with ambitious energy-saving goals. The municipality is responsible for the energy optimization of its 450 properties, including schools, stadiums, and other public buildings. The energy coordinator at Kolding Municipality, Pernille Bech Darbroudi, is responsible for the reporting of electricity, water, and heat consumption. The municipality was seeking a modern, efficient solution to identify energy waste and optimize energy consumption in its buildings. Read More
Solution	The municipality partnered with Ento, a Danish entrepreneurial company specializing in energy optimization using artificial intelligence (AI). Ento's AI solution automatically analyzes energy consumption data and suggests potential energy savings. The solution is based on electricity data from the utility and includes several other sources to give the AI a deeper understanding of the energy consumption. The AI solution is accessible via an online portal, providing an efficient and user-friendly interface for the municipality. Of the municipality’s total 450 properties, 210 were identified as relevant for analysis by the AI solution. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Sensors - Utility Meters

Applicable Industries

Buildings

Cities & Municipalities

Use Cases

Continuous Emission Monitoring Systems

Water Utility Management

Challenge

Kolding Municipality, a public building owner, was facing challenges in achieving its ambitious energy-saving goals. The existing energy management program was outdated and inefficient, making it a time-consuming task to manually analyze data from electricity meters. This inefficiency made it difficult to identify energy fluctuations in the municipality’s numerous properties, including schools and stadiums. The municipality needed a modern, efficient solution to identify energy waste and optimize energy consumption in its buildings.

About Customer

Kolding Municipality is a public building owner with ambitious energy-saving goals. The municipality is responsible for the energy optimization of its 450 properties, including schools, stadiums, and other public buildings. The energy coordinator at Kolding Municipality, Pernille Bech Darbroudi, is responsible for the reporting of electricity, water, and heat consumption. The municipality was seeking a modern, efficient solution to identify energy waste and optimize energy consumption in its buildings.

Solution

The municipality partnered with Ento, a Danish entrepreneurial company specializing in energy optimization using artificial intelligence (AI). Ento's AI solution automatically analyzes energy consumption data and suggests potential energy savings. The solution is based on electricity data from the utility and includes several other sources to give the AI a deeper understanding of the energy consumption. The AI solution is accessible via an online portal, providing an efficient and user-friendly interface for the municipality. Of the municipality’s total 450 properties, 210 were identified as relevant for analysis by the AI solution.

Impact #1	The implementation of the AI solution has significantly improved the energy optimization process in Kolding Municipality. The solution has not only reduced carbon emissions and operating costs but also made the process of identifying energy waste more efficient. The AI solution has already identified potential energy savings in several buildings, and more are expected to be identified in the future. The solution has also reduced the time spent on data analysis, making it easier for the municipality to achieve its energy-saving goals.

Impact #1

The implementation of the AI solution has significantly improved the energy optimization process in Kolding Municipality. The solution has not only reduced carbon emissions and operating costs but also made the process of identifying energy waste more efficient. The AI solution has already identified potential energy savings in several buildings, and more are expected to be identified in the future. The solution has also reduced the time spent on data analysis, making it easier for the municipality to achieve its energy-saving goals.

Benefit #1	Reduced carbon emissions
Benefit #2	Lowered operating costs
Benefit #3	210 out of 450 properties are being automatically analyzed for energy optimization

Benefit #1

Reduced carbon emissions

Benefit #2

Lowered operating costs

Benefit #3

210 out of 450 properties are being automatically analyzed for energy optimization

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Overview

AI-Driven Energy Optimization in Kolding Municipality

Operational Impact

Quantitative Benefit