• Focused on two European pilot data centers located in Denmark and Poland
  • Combined experimental measurements with validated CFD simulations of airflow and thermal distribution
  • Used Key Performance Indicators (KPIs) to evaluate energy efficiency in line with the European Energy Efficiency Directive
  • Demonstrated that retrofitting strategies such as optimized rack positioning, airflow containment, and guided airflow control can significantly improve efficiency
  • Achieved up to 75% improvement in specific KPIs through numerical optimization
  • Established a generalizable methodology for performance assessment and retrofitting of existing data centers using simulation-based tools

  • Achieved a 57.4% improvement in the Nusselt number
  • Increased critical heat flux (CHF) by 66.4%
  • Enabled continuous bubble formation at reduced temperature differences, leading to significant energy efficiency gains


  • Conducted at the Empa data center, our experiments measured server power consumption and CPU temperatures under various conditions.
  • Notable findings include significant temperature differences between CPUs at different fan speeds and a substantial drop in power consumption due to hyper-threading when server utilization exceeds 0.5.
  • The proposed equations accurately predict server power consumption, providing a reliable tool for enhancing energy efficiency in data centers.


  • Thermal response and cooling efficiency of an operating data center are investigated under generated workload trends
  • New metrics were proposed for assessment of recirculation and leakage effetcs in a data center.
  • Power consumption by the cooling can be reduced by 10% when dynamic cooling approach was adopted


  • A CHT model was developed for the thermal simulation of cold plate.
  • A novel empirical equation is proposed for the prediction of heat transfer from the CPU to the air.
  • The simulation results reveal that the proposed compact model can be used reliably for the thermal simulation of a hybrid-cooled data center.


  • Thermal and cooling efficiencies of an air-cooled data center were investigated by means of CFD simulations.
  • The numerical model was validated with the temperature measurements conducted in the data center
  • Efficiency of the data center has improved by 47.2% with respect to the RCI (Rack Cooling Index).


  • Turbulent flow through an OCP server was fully resolved.
  • A fast and accurate approach was proposed for the prediction of pressure drop.
  • The present model can effectively be used for the fast and accurate prediction of pressure drop inside a server.


  • An open-source computational fluid dynamics (CFD) model was developed based on OpenFOAM libraries.
  • The numerical model can be reliably used for the efficiency assessment of air-cooled data centers.


  • The experimental data contains the exhaust temperature profile obtained from an experimental campaign and the numerical data contains OpenFOAM and script files for the simulation of the thermal structure based on the experimental study.
  • Flow and thermal structures inside the data center are exhibited using the validated numerical model

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