Data Center Energy Efficiency Optimization Method Based on Optimal Temperature Control

Researchers at Nanjing Tech University have developed a new method for optimizing data center energy efficiency by focusing on optimal temperature control of designated active servers. The study finds that the proportion of energy consumed by IT and cooling systems in data centers exceeds 90%, leading to energy inefficiencies due to the lack of effective coordination between these two systems. The proposed method, which involves reframing the control optimization challenge as an optimal temperature control task, achieves effective coordination between IT and cooling systems and demonstrates a significant reduction in total energy consumption.

Key Takeaways:

  • The proposed method optimizes data center energy efficiency by focusing on optimal temperature control of designated active servers.
  • The research finds that the proportion of energy consumed by IT and cooling systems in data centers exceeds 90%.
  • The lack of effective coordination between IT and cooling systems leads to energy inefficiencies.
  • The proposed method achieves effective coordination between IT and cooling systems by dividing the control optimization challenge into manageable tasks.
  • The method demonstrates a significant reduction in total energy consumption, with actual load testing showing a decrease of 12.09% for homogeneous VMs and 29.1% for heterogeneous VMs.
  • The research also finds that the energy-saving effect can be further enhanced as the migration time interval diminishes.

Statistics:

  • 90%: Proportion of energy consumed by IT and cooling systems in data centers.
  • 12.09%: Decrease in total energy consumption for homogeneous VMs.
  • 29.1%: Decrease in total energy consumption for heterogeneous VMs.
  • 20: Number of active servers maintained in the experiment.

Sources:

  • A Data Center Energy Efficiency Optimization Method Based On Optimal Temperature Control of Designated Active Servers. Energy and Buildings, 2025;345. Energy and Buildings can be contacted at: Elsevier Science Sa, PO Box 564, 1001 Lausanne, Switzerland. (Elsevier - www.elsevier.com; Energy and Buildings - www.journals.elsevier.com/energy-and-buildings/)
  • NewsRx. New Findings from Nanjing Tech University in the Area of Data Centers Reported (A Data Center Energy Efficiency Optimization Method Based On Optimal Temperature Control of Designated Active Servers). Information Technology Newsweekly. October 21, 2025; p 456.