A global optimization method for data center air conditioning water systems based on predictive optimization control

  • Peng Wang
  • , Junqing Sun
  • , Sungmin Yoon
  • , Liang Zhao
  • , Ruobing Liang

Research output: Contribution to journalArticlepeer-review

Abstract

As the national digitization process accelerates, the number and energy consumption of data centers are increasing year by year. Want to reduce the PUE of the data center. It is correct to start from the perspective of optimizing the energy consumption of air conditioning system operation. In this paper, a predictive optimization control method that is different from previous real-time optimization control is proposed. Predict, optimize, control and adjust the operating parameters of the air conditioning water system in the data center. At the same time, it solves the energy saving problem of the air conditioning system and the lag problem of previous adjustments. Predictive optimization control has broad prospects in research on operation optimization of data center air conditioning water systems.

Original languageEnglish
Article number130925
JournalEnergy
Volume295
DOIs
StatePublished - 15 May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Data center
  • Global optimization
  • Predictive optimization control
  • Set-point reset strategy
  • TRNSYS

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