Ento
Case Studies
Arbejdernes Landsbank Achieves 67% Annual Energy Savings through AI
Overview
Arbejdernes Landsbank Achieves 67% Annual Energy Savings through AIEnto |
Analytics & Modeling - Machine Learning Networks & Connectivity - Radio Access Network | |
Buildings Retail | |
Facility Management | |
Building Automation & Control Predictive Waste Reduction | |
System Integration | |
Operational Impact
The use of artificial intelligence for energy optimization has led to significant operational improvements for Arbejdernes Landsbank. The AI system was able to identify major energy waste in the building and helped the bank's energy managers to identify and implement energy savings. The bank was able to optimize the operation of technical facilities and install energy-efficient ventilation motors, leading to significant energy savings. The AI system also helped to document the effect of these annual savings, providing clear evidence of the effectiveness of the bank's energy optimization efforts. This has not only resulted in cost savings but also supports the bank's ambitious climate strategy. | |
Quantitative Benefit
Identified and rectified a 4 kW difference between good and poor energy performance | |
Reduced the annual energy consumption from approximately 68,000 kWh/year to 23,000 kWh/year | |
Achieved documented energy savings of 45,000 kWh | |