Model driven analysis for server cooling center efficiency


  • The cooling system of server farms are designed for the maximum load case but the thermal load varies with installed server capacity and load distribution


  • To determine the energy-saving potential of a data-driven control approach

Our Contribution

  • Modelling of a cooling operation cycle
  • Correlation with operation and thermal boundaries to generate optimisation value for different meteorological profiles
  • Historic data analysis shows unusual component break downs and life time limits
  • Pattern detection to optimise computational centres annual energy consumption & performance
  • Improvement of overall Power usage Effectiveness (PuE) and rise of free cooling shift to quantify the optimisation potential