IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i14p3689-d1700443.html

Energy Efficiency Measurement Method and Thermal Environment in Data Centers—A Literature Review

Author

Listed:
  • Zaki Ghifari Muhamad Setyo

    (Graduate School of Environmental and Information Studies, Tokyo City University, 3-3-1 Ushikubo-nishi, Tsuzuki-ku, Yokohama 224-8551, Japan)

  • Hom Bahadur Rijal

    (Graduate School of Environmental and Information Studies, Tokyo City University, 3-3-1 Ushikubo-nishi, Tsuzuki-ku, Yokohama 224-8551, Japan)

  • Naja Aqilah

    (Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

  • Norhayati Abdullah

    (Graduate School of Environmental and Information Studies, Tokyo City University, 3-3-1 Ushikubo-nishi, Tsuzuki-ku, Yokohama 224-8551, Japan
    Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur 54100, Malaysia)

Abstract

The increase in data center facilities has led to higher energy consumption and a larger carbon footprint, prompting improvements in thermal environments for energy efficiency and server lifespan. Existing literature studies often overlook categorizing equipment for power usage effectiveness (PUE), addressing power efficiency measurement limitations and employee thermal comfort. These issues are addressed through an investigation of the PUE metric, a comparative analysis of various data center types and their respective cooling conditions, an evaluation of PUE in relation to established thermal standards and an assessment of employee thermal comfort based on defined criteria. Thirty-nine papers and ten websites were reviewed. The results indicated an average information technology (IT) power usage of 44.8% and a PUE of 2.23, which reflects average efficiency, while passive cooling was found to be more applicable to larger-scale data centers, such as Hyperscale or Colocation facilities. Additionally, indoor air temperatures averaged 16.5 °C with 19% relative humidity, remaining within the allowable range defined by ASHRAE standards, although employee thermal comfort remains an underexplored area in existing data center research. These findings highlight the necessity for clearer standards on power metrics, comprehensive thermal guidelines and the exploration of alternative methods for power metrics and cooling solutions.

Suggested Citation

  • Zaki Ghifari Muhamad Setyo & Hom Bahadur Rijal & Naja Aqilah & Norhayati Abdullah, 2025. "Energy Efficiency Measurement Method and Thermal Environment in Data Centers—A Literature Review," Energies, MDPI, vol. 18(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3689-:d:1700443
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/14/3689/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/14/3689/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Naja Aqilah & Hom Bahadur Rijal & Sheikh Ahmad Zaki, 2022. "A Review of Thermal Comfort in Residential Buildings: Comfort Threads and Energy Saving Potential," Energies, MDPI, vol. 15(23), pages 1-23, November.
    2. 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.
    3. Tian, Tong & Yang, Xuan & Li, Ji, 2025. "To boost waste heat harvesting and power generation through a portable heat pipe battery during high efficient electronics cooling," Applied Energy, Elsevier, vol. 377(PA).
    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. Panagiotis Michailidis & Iakovos Michailidis & Dimitrios Vamvakas & Elias Kosmatopoulos, 2023. "Model-Free HVAC Control in Buildings: A Review," Energies, MDPI, vol. 16(20), pages 1-45, October.
    2. 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).
    3. Prabhath Dhammika Tharindu Arachchi Appuhamilage & Hom B. Rijal, 2025. "Effective Heat Transfer Mechanisms of Personal Comfort Systems for Thermal Comfort and Energy Savings: A Review," Energies, MDPI, vol. 18(19), pages 1-31, October.
    4. Zhang, Yingbo & Tang, Hong & Li, Hangxin & Wang, Shengwei, 2025. "Integration and interaction of next-generation AI-focused data centers with smart grids and district energy systems: The state-of-the-art, opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    5. Cheng Liu & Hang Yu, 2021. "Evaluation and Optimization of a Two-Phase Liquid-Immersion Cooling System for Data Centers," Energies, MDPI, vol. 14(5), pages 1-21, March.
    6. Socci, Luca & Rocchetti, Andrea & Verzino, Antonio & Zini, Andrea & Talluri, Lorenzo, 2024. "Enhancing third-generation district heating networks with data centre waste heat recovery: analysis of a case study in Italy," Energy, Elsevier, vol. 313(C).
    7. Lahoucine Ouhsaine & Mohammed El Ganaoui & Abdelaziz Mimet & Jean-Michel Nunzi, 2021. "A Substitutive Coefficients Network for the Modelling of Thermal Systems: A Mono-Zone Building Case Study," Energies, MDPI, vol. 14(9), pages 1-19, April.
    8. Zhang, Chengbin & Wang, Huijuan & Huang, Yongping & Zhang, Liangliang & Chen, Yongping, 2025. "Immersion liquid cooling for electronics: Materials, systems, applications and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    9. Xin, Fei & Ma, Ting & Wang, Qiuwang, 2018. "Thermal performance analysis of flat heat pipe with graded mini-grooves wick," Applied Energy, Elsevier, vol. 228(C), pages 2129-2139.
    10. Ravi, Sai Sudharshan & Löffler, Theresa Sophie & Pina, Eduardo Antonio & Sharma, Shivom & Lepour, Dorsan & Terrier, Cedric & Maréchal, François, 2026. "From servers to services: modeling data centers as heat-active urban energy prosumers," Applied Energy, Elsevier, vol. 402(PB).
    11. Ina VIRTOSU & Chen LI, 2024. "Smart life and sustainable development: a comparative analysis on energy and water efficiency in China and the EU," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8(3), pages 19-40, April.
    12. Zhou, Feng & Gu, Wenlong & Ma, Guoyuan, 2026. "Microchannel heat sinks for cold plate liquid cooling in data centers: Advances, evaluations and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 230(C).
    13. Cristina Ramos Cáceres & Suzanna Törnroth & Mattias Vesterlund & Andreas Johansson & Marcus Sandberg, 2022. "Data-Center Farming: Exploring the Potential of Industrial Symbiosis in a Subarctic Region," Sustainability, MDPI, vol. 14(5), pages 1-23, February.
    14. Ye, Guisen & Gao, Feng & Fang, Jingyang, 2022. "A mission-driven two-step virtual machine commitment for energy saving of modern data centers through UPS and server coordinated optimizations," Applied Energy, Elsevier, vol. 322(C).
    15. 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.
    16. Ma, Yu & Bao, Yuchen & Li, Ji, 2025. "Heat transfer dependence of power usage effectiveness of an augmented two-phase immersion cooling system for high-power servers," Energy, Elsevier, vol. 323(C).
    17. Xiong, Huimin & Li, Xuan & Chen, Chaowei & Xin, Gongming & Li, Jiaqian & Chen, Yan, 2025. "Experimental study on the heat transfer performance of a gravity-assisted separated heat pipe for high-power chip cooling," Energy, Elsevier, vol. 324(C).
    18. Cui, Zhaopeng & Du, Shuai & Wang, Ruzhu, 2025. "Switchable multistage absorption chiller for ultra-low-grade waste heat driven cooling in data centers," Applied Energy, Elsevier, vol. 398(C).
    19. Lin, Yang & Yue, Chang & Zeng, Liping & Ee, Yit Jing & Sopian, Kamaruzzaman & Su, Wen & Wang, Jiaqiang, 2026. "Multi-dimensional performance evaluation and influencing factors study of inter-chip thermal coupling in immersion-cooled heterogeneous multi-chip servers," Energy, Elsevier, vol. 344(C).
    20. Jacek Fal & Omid Mahian & Gaweł Żyła, 2018. "Nanofluids in the Service of High Voltage Transformers: Breakdown Properties of Transformer Oils with Nanoparticles, a Review," Energies, MDPI, vol. 11(11), pages 1-46, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:14:p:3689-:d:1700443. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.