Analyzing the saving potential of datacenters via model-based predictive control

초록

A predictive control approach was investigated using model predictive control in a datacenter. The grey-box models (grey-box and grey-box model with integration of underfloor air distribution system) structure was utilized in predicting the thermal behaviour of the datacenter. Model predictive control simulation was conducted using a typical optimizer, specifically linear programming assuming a linear time-invariant model, with different temperature bounds and cost of electricity. An average saving percentage of 44.14% was achieved using the model predictive control approach with a grey-box model integrating an underfloor air distribution system, compared to a ideal feedback control. © 2025 Building Simulation Conference Proceedings. All rights reserved.