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International Conference on Bio-Inspired Computing: Theories and Applications

BIC-TA 2018: Bio-inspired Computing: Theories and Applications pp 423–433Cite as

Model Predictive Control of Data Center Temperature Based on CFD

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 951))

Abstract

This paper presents the MPC (Model Predictive Control) method based on CFD (Computational Fluid Dynamics), aiming to optimize the temperature control of the data center. The paper establishes the three-dimensional physical model of the data center according to the boundary conditions, gets the unit step function response of the input and output temperature by the steady and unsteady simulation solution, then gets the mathematical model of data center temperature by system identification. The MPC simulation experiment is carried out, compared with the traditional PID control, resulting in that MPC has better control quality and has great application values on the temperature control of the data center.

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Acknowledgments

This paper was supported by foundation research project No.JCYJ20150730103208405 of Shenzhen Science and Technology Innovation Committee, and open research project of State Key Laboratory of Air-conditioning Equipment and System Energy Conservation, China.

Author information

Authors and Affiliations

  1. School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China

    Gang Peng, Chenyang Zhou & Siming Wang

  2. Shenzhen Institute of Huazhong University of Science and Technology, Shenzhen, 518060, China

    Gang Peng, Chenyang Zhou & Siming Wang

  3. State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation, Zhuhai, 519070, China

    Gang Peng, Chenyang Zhou & Siming Wang

Authors
  1. Gang Peng
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  2. Chenyang Zhou
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  3. Siming Wang
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Corresponding author

Correspondence to Siming Wang .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Jianyong Qiao

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xinchao Zhao

  3. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Xingquan Zuo

  5. Anhui University, Hefei, China

    Xingyi Zhang

  6. City University of Hong Kong, Kowloon, Hong Kong

    Qingfu Zhang

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Shanguo Huang

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Peng, G., Zhou, C., Wang, S. (2018). Model Predictive Control of Data Center Temperature Based on CFD. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 951. Springer, Singapore. https://doi.org/10.1007/978-981-13-2826-8_37

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  • DOI: https://doi.org/10.1007/978-981-13-2826-8_37

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2825-1

  • Online ISBN: 978-981-13-2826-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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