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Arbejdernes Landsbank, a Danish retail bank, was facing significant energy inefficiencies across its 70 branches. The bank's building portfolio, a mix of older and newer buildings, had some well-run technical facilities controlled by the building management system (BMS). However, upon analyzing the energy consumption in its branches, it was discovered that not all building automation was functioning as intended. The branch on Bredgade in Kalundborg was identified as one of the buildings with the poorest energy performance. The energy consumption in the building had suddenly increased, with idle consumption rising from approximately 2 kW to just over 6 kW. The bank was closed more than two-thirds of the time, and the difference of 4 kW between good and poor energy performance was leading to significant energy waste.

Salling Group, a Danish retail giant, was faced with the challenge of reducing its energy consumption and costs. The company had an ambitious climate plan that included investments of approximately EUR 330 million over the next few years in equipment like heat pumps and solar. However, the rising energy prices necessitated more immediate action. The most significant gains could be achieved by optimising building operations, a task that required a solution that could be implemented immediately without any large up-front investments. The solution also needed to be applicable to all major building owners and be able to work with available energy consumption data.

Arbejdernes Landsbank, a retail bank in Denmark, was committed to reducing its energy consumption and carbon footprint. The bank had already entered into a climate partnership with Ørsted in 2018, sourcing its electricity from renewable resources. However, it was still seeking ways to further reduce energy consumption in its building stock. The bank's Facility Management team faced the challenge of finding energy savings across multiple buildings, a task that was both cumbersome and time-consuming. Traditional solutions focused more on documentation rather than actual energy savings. The team needed a tool that could proactively identify energy savings and provide documentable results with minimal setup and resource requirements.

The Danish Municipality of Holstebro was grappling with the challenge of managing energy consumption across its vast building portfolio. The small energy team was struggling to prioritize their efforts due to the sheer size of the portfolio. The existing energy management system (EMS) was outdated and focused more on data collection rather than providing actionable insights. The EMS was not only difficult to maintain, but it also lacked accuracy, leading to low confidence in the data it provided. The team had to spend a significant amount of time maintaining the system, which took away from their other tasks. The municipality needed a modern, efficient solution that could help them manage their energy consumption more effectively and save time for their team.

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.

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.