Exergio Platform Achieves 21.1% Energy Reduction Through Deep Data Analysis in SIMBIOCITY Project

Energy Reduction Through Deep Data Analysis

In the Simbiocity project, the Exergio advisory platform was employed to conduct a deep analysis of building management system data, working with approximately 90,000 data points. The goal was to achieve significant energy savings through improved performance without compromising comfort. The result? A dramatic reduction in electricity use and a substantial cut in CO₂ emissions

Project Details

Energy Saving Actions were taken across heating, ventilation, and cooling systems based on Exergio’s insights:

Heating and Ventilation

• Improved ventilation and heating  algorithms due to Exergio advisory insights
• Indicated failures of sensors
• Additional sensors for microclimate control implemented
• Reduced operation time and intensity based to comfort KPI’S which showed that AHU adjustments can be done without comfort reduction
• Heating / cooling scenario between AHU units and fan coils were adjusted
• Improved heating and cooling recovery in atrium areas
  
  

Cooling

• Improved cooling operation algorithms due Exergio advisory insights:
• cooling operation balanced with end devices and comfort KPI’s. Operation time reduced more than 50%
• Cascade algorithms improved. Less powerful equipment operation during low demand hours. Increased efficiency
• Exploitation of free cooling
  
  

Additional Measures planned or implemented 

• In progress – balanced airflow control for different floors according to floor occupancy and fresh air parameters
• Ramp heating parameter adjustment
• Additional energy monitoring for separated engineering systems (cooling, humidification, ramp heating, etc.)

Results

This resulted in an electricity consumption reduced by 21.1% and CO2 emissions cut by 198 tons. Microclimate and lighting conditions in workplaces remained stable throughout the process. The comparison was made between the periods of 2022/2023 and 2024, with adjustments made to account for pandemic-related occupancy changes.

This project highlights the impact of data-driven insights in delivering real energy and carbon savings while maintaining optimal building performance. This project is a powerful example of how smart data, when applied effectively, can drive tangible sustainability gains, turning buildings into more efficient, lower-emission, high-performance assets without compromising comfort.

Conclusion

The Simbiocity project demonstrates how leveraging deep data analysis with platforms like Exergio can drive substantial energy efficiency improvements without sacrificing occupant comfort. This approach highlights the value of combining advanced analytics with practical building management to achieve meaningful sustainability goals.