IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p3088-d1109987.html
   My bibliography  Save this article

Conjugate Heat Transfer Modeling of a Cold Plate Design for Hybrid-Cooled Data Centers

Author

Listed:
  • Aras Dogan

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

  • Sibel Yilmaz

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

  • Mustafa Kuzay

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

  • Dirk-Jan Korpershoek

    (Blockheating B.V., Terweijerweg 25, 6413 PC Heerlen, The Netherlands)

  • Jeroen Burks

    (Blockheating B.V., Terweijerweg 25, 6413 PC Heerlen, The Netherlands)

  • Ender Demirel

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

Abstract

Liquid-cooled servers can be deployed to reduce the energy consumption and environmental footprint of hybrid-cooled data centers. A computational fluid dynamics (CFD) model can bring extremely useful insights and results for thermal simulations of air- and liquid-cooled servers in a single environment. In this study, a conjugate heat transfer (CHT) numerical model is developed and validated with experimental data to simulate heat transfer from the CPU to the air and cold plate considering the effect of thermal paste. The cooling performance of an in-house developed cold plate design is thoroughly investigated via the validated CHT model. A dataset containing one hundred samples of various flow, thermal and workload conditions was generated using the Latin hypercube sampling (LHS) method, which was further utilized in the series of CHT simulations. Finally, a novel empirical equation is proposed for the prediction of heat transfer from the CPU to the air. The accuracy of the proposed equation is confirmed by comparing estimated and simulated results for a test dataset. A thermal analysis of a rack containing air and liquid-cooled servers is performed using the presented approach. The simulation results reveal that the proposed compact model can be used reliably for the thermal simulation of a hybrid-cooled data center.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3088-:d:1109987
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/3088/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/7/3088/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zimmermann, Severin & Meijer, Ingmar & Tiwari, Manish K. & Paredes, Stephan & Michel, Bruno & Poulikakos, Dimos, 2012. "Aquasar: A hot water cooled data center with direct energy reuse," Energy, Elsevier, vol. 43(1), pages 237-245.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Lu, Tao & Lü, Xiaoshu & Välisuo, Petri & Zhang, Qunli & Clements-Croome, Derek, 2024. "Innovative approaches for deep decarbonization of data centers and building space heating networks: Modeling and comparison of novel waste heat recovery systems for liquid cooling systems," Applied Energy, Elsevier, vol. 357(C).
    2. Silva-Llanca, Luis & Ortega, Alfonso & Fouladi, Kamran & del Valle, Marcelo & Sundaralingam, Vikneshan, 2018. "Determining wasted energy in the airside of a perimeter-cooled data center via direct computation of the Exergy Destruction," Applied Energy, Elsevier, vol. 213(C), pages 235-246.
    3. Xiaofei Huang & Junwei Yan & Xuan Zhou & Yixin Wu & Shichen Hu, 2023. "Cooling Technologies for Internet Data Center in China: Principle, Energy Efficiency, and Applications," Energies, MDPI, vol. 16(20), pages 1-31, October.
    4. Gupta, Rohit & Moazamigoodarzi, Hosein & MirhoseiniNejad, SeyedMorteza & Down, Douglas G. & Puri, Ishwar K., 2020. "Workload management for air-cooled data centers: An energy and exergy based approach," Energy, Elsevier, vol. 209(C).
    5. Yuan, Xiaolei & Liang, Yumin & Hu, Xinyi & Xu, Yizhe & Chen, Yongbao & Kosonen, Risto, 2023. "Waste heat recoveries in data centers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Du, Yahui & Zhou, Zhihua & Yang, Xiaochen & Yang, Xueqing & Wang, Cheng & Liu, Junwei & Yuan, Jianjuan, 2023. "Dynamic thermal environment management technologies for data center: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    7. Wansheng Yang & Lin Yang & Junjie Ou & Zhongqi Lin & Xudong Zhao, 2019. "Investigation of Heat Management in High Thermal Density Communication Cabinet by a Rear Door Liquid Cooling System," Energies, MDPI, vol. 12(22), pages 1-25, November.
    8. Leyla Amiri & Edris Madadian & Navid Bahrani & Seyed Ali Ghoreishi-Madiseh, 2021. "Techno-Economic Analysis of Waste Heat Utilization in Data Centers: Application of Absorption Chiller Systems," Energies, MDPI, vol. 14(9), pages 1-11, April.
    9. Huang, Pei & Copertaro, Benedetta & Zhang, Xingxing & Shen, Jingchun & Löfgren, Isabelle & Rönnelid, Mats & Fahlen, Jan & Andersson, Dan & Svanfeldt, Mikael, 2020. "A review of data centers as prosumers in district energy systems: Renewable energy integration and waste heat reuse for district heating," Applied Energy, Elsevier, vol. 258(C).
    10. Wahlroos, Mikko & Pärssinen, Matti & Manner, Jukka & Syri, Sanna, 2017. "Utilizing data center waste heat in district heating – Impacts on energy efficiency and prospects for low-temperature district heating networks," Energy, Elsevier, vol. 140(P1), pages 1228-1238.
    11. Aristov, Yu.I., 2021. "Adsorptive conversion of ultralow-temperature heat: Thermodynamic issues," Energy, Elsevier, vol. 236(C).
    12. Kim, Min-Hwi & Ham, Sang-Woo & Park, Jun-Seok & Jeong, Jae-Weon, 2014. "Impact of integrated hot water cooling and desiccant-assisted evaporative cooling systems on energy savings in a data center," Energy, Elsevier, vol. 78(C), pages 384-396.
    13. Eric Laurenz & Gerrit Füldner & Lena Schnabel & Gerhard Schmitz, 2020. "A Novel Approach for the Determination of Sorption Equilibria and Sorption Enthalpy Used for MOF Aluminium Fumarate with Water," Energies, MDPI, vol. 13(11), pages 1-10, June.
    14. Huang, Qionghai & Shao, Shuangquan & Zhang, Hainan & Tian, Changqing, 2019. "Development and composition of a data center heat recovery system and evaluation of annual operation performance," Energy, Elsevier, vol. 189(C).
    15. Silva, C.A. & Vilaça, R. & Pereira, A. & Bessa, R.J., 2024. "A review on the decarbonization of high-performance computing centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    16. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
    17. Oró, Eduard & Depoorter, Victor & Garcia, Albert & Salom, Jaume, 2015. "Energy efficiency and renewable energy integration in data centres. Strategies and modelling review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 429-445.
    18. 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.
    19. Heli Kasurinen & Saija Vatanen & Kaisa Grönman & Tiina Pajula & Laura Lakanen & Olli Salmela & Risto Soukka, 2019. "Carbon Handprint: Potential Climate Benefits of a Novel Liquid-Cooled Base Station with Waste Heat Reuse," Energies, MDPI, vol. 12(23), pages 1-18, November.
    20. Gupta, Rohit & Asgari, Sahar & Moazamigoodarzi, Hosein & Pal, Souvik & Puri, Ishwar K., 2020. "Cooling architecture selection for air-cooled Data Centers by minimizing exergy destruction," Energy, Elsevier, vol. 201(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:16:y:2023:i:7:p:3088-:d:1109987. 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.