IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6438-d905771.html
   My bibliography  Save this article

CFD Modeling of Pressure Drop through an OCP Server for Data Center Applications

Author

Listed:
  • Aras Dogan

    (Design and Simulation Technologies, Inc., 26480 Eskisehir, Turkey
    Department of Civil Engineering, Eskisehir Osmangazi University, 26480 Eskisehir, Turkey)

  • Sibel Yilmaz

    (Design and Simulation Technologies, Inc., 26480 Eskisehir, Turkey)

  • Mustafa Kuzay

    (Design and Simulation Technologies, Inc., 26480 Eskisehir, Turkey
    Department of Civil Engineering, Eskisehir Osmangazi University, 26480 Eskisehir, Turkey)

  • Cagatay Yilmaz

    (Lande Industrial Metal Products Inc. Co., Organized Industrial Zone, 20th Street, No: 14, 26110 Eskisehir, Turkey)

  • Ender Demirel

    (Design and Simulation Technologies, Inc., 26480 Eskisehir, Turkey
    Department of Civil Engineering, Eskisehir Osmangazi University, 26480 Eskisehir, Turkey)

Abstract

Modeling IT equipment is of critical importance for the simulations of flow and thermal structures in air cooled data centers. Turbulent flow undergoes a significant pressure drop through the server due to the energy losses originating from the internal components. Therefore, there is an urgent need to develop a fast and an accurate method for the calculation of pressure losses inside server components for data center applications. In this study, high resolution numerical simulations were performed on an OCP (Open Compute Project) server under various inlet flow rates for inactive and active conditions. Meanwhile, one key challenge of modeling complete geometry of the server results from using an intense mesh even for a single server. To address this challenge, the server was modeled as a porous zone to mimic inertia and viscous resistance in a realistic way. Comparison of the results of porous and complete models showed that the proposed model could calculate pressure drop accurately even when the number of cells in the server was reduced to 0.3% of the complete model. Porosity coefficients were determined from the numerical simulations conducted in a broad range of air discharge for both active and inactive conditions. Errors in the calculation of pressure drop may result in a significant deviation in the prediction of the temperature rise over the server. Thus, the present model can effectively be used for the fast and accurate prediction of pressure drop inside a server component rather than solving internal flow on an intense mesh, while simulating airflow inside an air-cooled data center, which is crucial for the design safety of data centers. Finally, calculated porosity coefficients can be used for the prediction of the pressure drop in a server, while designing data centers based on numerical simulations.

Suggested Citation

  • Aras Dogan & Sibel Yilmaz & Mustafa Kuzay & Cagatay Yilmaz & Ender Demirel, 2022. "CFD Modeling of Pressure Drop through an OCP Server for Data Center Applications," Energies, MDPI, vol. 15(17), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6438-:d:905771
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6438/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6438/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gupta, Rohit & Asgari, Sahar & Moazamigoodarzi, Hosein & Down, Douglas G. & Puri, Ishwar K., 2021. "Energy, exergy and computing efficiency based data center workload and cooling management," Applied Energy, Elsevier, vol. 299(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aras Dogan & Sibel Yilmaz & Mustafa Kuzay & Dirk-Jan Korpershoek & Jeroen Burks & Ender Demirel, 2023. "Conjugate Heat Transfer Modeling of a Cold Plate Design for Hybrid-Cooled Data Centers," Energies, MDPI, vol. 16(7), pages 1-21, March.
    2. Teresa Murino & Roberto Monaco & Per Sieverts Nielsen & Xiufeng Liu & Gianluigi Esposito & Carlo Scognamiglio, 2023. "Sustainable Energy Data Centres: A Holistic Conceptual Framework for Design and Operations," Energies, MDPI, vol. 16(15), pages 1-14, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Borkowski, Mateusz & Piłat, Adam Krzysztof, 2022. "Customized data center cooling system operating at significant outdoor temperature fluctuations," Applied Energy, Elsevier, vol. 306(PB).
    2. Zhiling Guo & Jin Li & Ram Ramesh, 2023. "Green Data Analytics of Supercomputing from Massive Sensor Networks: Does Workload Distribution Matter?," Information Systems Research, INFORMS, vol. 34(4), pages 1664-1685, December.
    3. Liu, Pengfei & Kandasamy, Ranjith & Ho, Jin Yao & Wong, Teck Neng & Toh, Kok Chuan, 2023. "Dynamic performance analysis and thermal modelling of a novel two-phase spray cooled rack system for data center cooling," Energy, Elsevier, vol. 269(C).
    4. Hu, Zhi-Hua & Zheng, Yu-Xin & Wang, You-Gan, 2022. "Packing computing servers into the vessel of an underwater data center considering cooling efficiency," Applied Energy, Elsevier, vol. 314(C).
    5. Liu, Wenyu & Yan, Yuejun & Sun, Yimeng & Mao, Hongju & Cheng, Ming & Wang, Peng & Ding, Zhaohao, 2023. "Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective," Applied Energy, Elsevier, vol. 338(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6438-:d:905771. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.