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The Energy-Saving Potential of Air-Side Economisers in Modular Data Centres: Analysis of Opportunities and Risks in Different Climates

Author

Listed:
  • Ali Badiei

    (School of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UK)

  • Eric Jadowski

    (Department of Engineering, Faculty of Science and Engineering, University of Hull, Hull HU6 7RX, UK)

  • Saba Sadati

    (School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester M13 9PL, UK)

  • Arash Beizaee

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Jing Li

    (Centre for Sustainable Energy Technologies, Energy and Environment Institute, University of Hull, Hull HU6 7RX, UK)

  • Leila Khajenoori

    (School of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UK)

  • Hamid Reza Nasriani

    (School of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UK)

  • Guiqiang Li

    (Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, China)

  • Xin Xiao

    (School of Environmental Science and Engineering, Donghua University, Shanghai 201620, China)

Abstract

This study examines the feasibility of utilising outside air for ‘free cooling’ in modular data centres through the implementation of an air-side economiser, as an alternative to traditional mechanical cooling systems. The objective is to offset the energy consumption associated with cooling by leveraging the natural cooling capacity of the ambient air. To investigate this potential, a 90-kW modular data centre is employed as the base case for model validation and analysis of energy reduction possibilities. The research employs dynamic thermal modelling techniques to assess the efficacy of the air-side economiser in four distinct climatic zones: Stockholm, Dubai, San Francisco, and Singapore, representing diverse worldwide climates. The model is meticulously calibrated and validated using power usage effectiveness (PUE) values obtained from the Open Compute Project. Simulation runs are conducted to evaluate the energy-reduction potential achievable with the air-side economiser compared to conventional mechanical air-conditioning systems. The results indicate significant energy reductions of up to 86% in moderate climates, while minimal reductions are observed in dry and hot climates. This comprehensive analysis offers valuable insights into the intricate relationship between modular data centres, their operational characteristics, and the viability of employing air-side economisers for free cooling and energy efficiency across different climatic conditions. The contribution of this publication to this field of science lies in its exploration of the practicality and energy-saving potential of air-side economisers in modular data centres. By utilising dynamic thermal modelling and empirical validation, this study provides evidence-based insights into the effectiveness of this cooling strategy, shedding light on its applicability in various climates. The findings contribute to the understanding of energy-efficient cooling solutions in data-centre design and operation, paving the way for more sustainable practices in the field.

Suggested Citation

  • Ali Badiei & Eric Jadowski & Saba Sadati & Arash Beizaee & Jing Li & Leila Khajenoori & Hamid Reza Nasriani & Guiqiang Li & Xin Xiao, 2023. "The Energy-Saving Potential of Air-Side Economisers in Modular Data Centres: Analysis of Opportunities and Risks in Different Climates," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10777-:d:1190306
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    References listed on IDEAS

    as
    1. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    2. Golizadeh Akhlaghi, Yousef & Aslansefat, Koorosh & Zhao, Xudong & Sadati, Saba & Badiei, Ali & Xiao, Xin & Shittu, Samson & Fan, Yi & Ma, Xiaoli, 2021. "Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050," Applied Energy, Elsevier, vol. 281(C).
    3. Xu, Peng & Ma, Xiaoli & Zhao, Xudong & Fancey, Kevin, 2017. "Experimental investigation of a super performance dew point air cooler," Applied Energy, Elsevier, vol. 203(C), pages 761-777.
    4. Fujen Wang & Yishun Huang & BowoYuli Prasetyo, 2019. "Energy-Efficient Improvement Approaches through Numerical Simulation and Field Measurement for a Data Center," Energies, MDPI, vol. 12(14), pages 1-18, July.
    5. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    6. Badiei, A. & Golizadeh Akhlaghi, Y. & Zhao, X. & Shittu, S. & Xiao, X. & Li, J. & Fan, Y. & Li, G., 2020. "A chronological review of advances in solar assisted heat pump technology in 21st century," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Raihan Ul Islam & Xhesika Ruci & Mohammad Shahadat Hossain & Karl Andersson & Ah-Lian Kor, 2019. "Capacity Management of Hyperscale Data Centers Using Predictive Modelling," Energies, MDPI, vol. 12(18), pages 1-22, September.
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