NTT Global Data Centers Saves 19% Cooling Energy with etalytics AI Optimization

The etalytics platform uses a hybrid AI approach: combining machine learning trained on historical data with physical models to simulate and optimize cooling system performance in real time.

A digital twin of the cooling circuit was developed, incorporating core components such as pumps, chillers and heat exchangers. The model enabled the simulation of annual operation in five-minute intervals, delivering highly accurate forecasts even outside the original data range.

Implementation followed a structured, collaborative integration process. etalytics worked closely with NTT’s building management and HVAC partners to adapt control logic and define responsibilities. The optimization server was deployed on-premise, ensuring full local control.