Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Exploration on Energy-saving Control Strategy for Data Center Refrigeration Stations Based on PID Control Algorithm

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342625,
        author={Yingli  Zhou and Qi  Wang and Guangpeng  Li},
        title={Exploration on Energy-saving Control Strategy for Data Center Refrigeration Stations Based on PID Control Algorithm},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={energy saving controls for refrigeration stations data centre process identification control algorithms cooling water pump energy consumption},
        doi={10.4108/eai.17-11-2023.2342625}
    }
    
  • Yingli Zhou
    Qi Wang
    Guangpeng Li
    Year: 2024
    Exploration on Energy-saving Control Strategy for Data Center Refrigeration Stations Based on PID Control Algorithm
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342625
Yingli Zhou1,*, Qi Wang1, Guangpeng Li1
  • 1: Shandong Institute of Commerce and Technology, Jinan 250103, Shandong, China
*Contact email: 15063361633@163.com

Abstract

With the advent of the digital era, data centers play a crucial role in supporting the information needs and cloud computing applications of various industries. The high power requirements and high levels of emissions of data centers have become a serious problem. This article aimed to explore energy-saving control strategies for data center refrigeration stations based on PID (Process Identification) control algorithm. This paper analyzed data centre chiller station energy saving based PID controller algorithm control strategies to reduce data centre energy consumption. By combining the PID control algorithm with the data center refrigeration system, dynamic monitoring and adjustment of the parameters of the refrigeration station can be achieved, making it more adaptable to real-time environmental changes and fluctuations in load demand. This helps to improve energy efficiency and reduce energy waste and carbon emissions, while ensuring the stable operation of the data center. To investigate the impact of PID control algorithm on energy-saving control of data center refrigeration stations, simulation experiments based on PID control algorithm and traditional control methods were conducted under different operating conditions. It was found that PID control algorithms can effectively control the cooling stations in data centers and reduce the power consumed by the cooling stations.