ECO-Qube Pilot Studies


Artificial-Intelligence-Augmented Cooling System for Small Data Centres “ECO-Qube” is a holistic management system that aims to enhance energy efficiency and cooling performance by orchestrating both hardware and software components in edge computing applications.

ECO-Qube is a data-driven approach that utilizes valuable unused data from active data center components. The big data created is used by an artificial intelligence (AI) augmented system which detects cooling and energy requirements instantaneously.

ECO-Qube is unique to conventional cooling systems which keep operating temperatures within a strict interval and do not evaluate measurable cooling performance. Unmeasured cooling performance leads to underperforming airflow, thermal disequilibrium, and high energy consumption. 

Conversely, ECO-Qube offers a zonal heat management system that benefits from Computational Fluid Dynamics (CFD) simulations to adapt cooling systems for optimal airflow and cooling performance with minimum energy consumption.

Moreover, ECO-Qube realizes smart workload orchestration to keep the CPUs operating at their most energy-efficient state and maintain the thermal equilibrium to reduce the risk of overheating.

Sustainability is another priority for ECO-Qube’s smart energy management system (EMS), which is designed to track energy demand and operate the energy supply in cooperation with the building/ district’s EMS. This synergy maximizes the energy supplied from renewable energy sources and minimizes the energy supplied from sources with a high carbon footprint.

To demonstrate the performance of ECO-Qube’s dynamic cooling system, the solution will be integrated within three different data center pilot studies and tested under different climate scenarios and seasonal weather conditions. Real-time measurements and data analysis will take place within three distinctive phases including 12 months dedicated to the ECO-Qube approach, to observe seasonal change effects and gather annual average statistics.

The three pilot data center sites are being conducted and studied in collaboration with:

Look out for our upcoming series of briefings on each of these data center pilot studies.

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