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Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center

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Cited by:

  1. Lee, Yee-Ting & Wen, Chih-Yung & Shih, Yang-Cheng & Li, Zhengtong & Yang, An-Shik, 2022. "Numerical and experimental investigations on thermal management for data center with cold aisle containment configuration," Applied Energy, Elsevier, vol. 307(C).
  2. Zhu, Yiqun & Zhang, Quan & Huang, Gongsheng & Wang, Jiaqiang & Zou, Sikai & Ee, Yit Jing & Sopian, Kamaruzzaman, 2025. "Research on collaborative control strategy of cold storage and IT workload migration in data center," Energy, Elsevier, vol. 323(C).
  3. Zhang, Hainan & Shao, Shuangquan & Tian, Changqing & Zhang, Kunzhu, 2018. "A review on thermosyphon and its integrated system with vapor compression for free cooling of data centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 789-798.
  4. Borkowski, Mateusz & Piłat, Adam Krzysztof, 2022. "Customized data center cooling system operating at significant outdoor temperature fluctuations," Applied Energy, Elsevier, vol. 306(PB).
  5. Habibi Khalaj, Ali & Scherer, Thomas & K. Halgamuge, Saman, 2016. "Energy, environmental and economical saving potential of data centers with various economizers across Australia," Applied Energy, Elsevier, vol. 183(C), pages 1528-1549.
  6. Catrini, P. & Panno, D. & Cardona, F. & Piacentino, A., 2020. "Characterization of cooling loads in the wine industry and novel seasonal indicator for reliable assessment of energy saving through retrofit of chillers," Applied Energy, Elsevier, vol. 266(C).
  7. Hardaway, Kendrick & Teran, Oscar & Cai, Hua, 2025. "Silent emissions: The cyber-infrastructure environmental impacts of autonomous vehicles," Applied Energy, Elsevier, vol. 392(C).
  8. 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).
  9. Heran Jing & Zhenhua Quan & Yaohua Zhao & Lincheng Wang & Ruyang Ren & Ruixue Dong & Yuting Wu, 2022. "Experimental Investigation of Heat Transfer and Flow Characteristics of Split Natural Cooling System for Data Center Based on Micro Heat Pipe Array," Energies, MDPI, vol. 15(12), pages 1-22, June.
  10. Palomba, Valeria & Ferraro, Marco & Frazzica, Andrea & Vasta, Salvatore & Sergi, Francesco & Antonucci, Vincenzo, 2018. "Experimental and numerical analysis of a SOFC-CHP system with adsorption and hybrid chillers for telecommunication applications," Applied Energy, Elsevier, vol. 216(C), pages 620-633.
  11. Cho, Jinkyun, 2024. "Optimal supply air temperature with respect to data center operational stability and energy efficiency in a row-based cooling system under fault conditions," Energy, Elsevier, vol. 288(C).
  12. Vesterlund, Mattias & Borisová, Stanislava & Emilsson, Ellinor, 2024. "Data center excess heat for mealworm farming, an applied analysis for sustainable protein production," Applied Energy, Elsevier, vol. 353(PA).
  13. Sijun Xu & Hua Zhang & Zilong Wang, 2023. "Thermal Management and Energy Consumption in Air, Liquid, and Free Cooling Systems for Data Centers: A Review," Energies, MDPI, vol. 16(3), pages 1-25, January.
  14. 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.
  15. Cho, Jinkyun & Park, Beungyong & Jang, Seungmin, 2022. "Development of an independent modular air containment system for high-density data centers: Experimental investigation of row-based cooling performance and PUE," Energy, Elsevier, vol. 258(C).
  16. Olszewski, Pawel, 2022. "Experimental analysis of ON/OFF and variable speed drive controlled industrial chiller towards energy efficient operation," Applied Energy, Elsevier, vol. 309(C).
  17. Chen, Siliang & Liang, Xinbin & Liu, Ying & Li, Xilin & Jin, Xinqiao & Du, Zhimin, 2025. "Customized large-scale model for human-AI collaborative operation and maintenance management of building energy systems," Applied Energy, Elsevier, vol. 393(C).
  18. Cho, Jinkyun & Kim, Youngmo, 2021. "Development of modular air containment system: Thermal performance optimization of row-based cooling for high-density data centers," Energy, Elsevier, vol. 231(C).
  19. Graamans, Luuk & Tenpierik, Martin & van den Dobbelsteen, Andy & Stanghellini, Cecilia, 2020. "Plant factories: Reducing energy demand at high internal heat loads through façade design," Applied Energy, Elsevier, vol. 262(C).
  20. Tian, Tong & Wang, Xinyue & Liu, Yang & Yang, Xuan & Sun, Bo & Li, Ji, 2023. "Nano-engineering enabled heat pipe battery: A powerful heat transfer infrastructure with capability of power generation," Applied Energy, Elsevier, vol. 348(C).
  21. Zhou, Haojie & Tian, Tong & Wang, Xinyue & Li, Ji, 2023. "Combining looped heat pipe and thermoelectric generator module to pursue data center servers with possible power usage effectiveness less than 1," Applied Energy, Elsevier, vol. 332(C).
  22. Li, Jian & Jurasz, Jakub & Li, Hailong & Tao, Wen-Quan & Duan, Yuanyuan & Yan, Jinyue, 2020. "A new indicator for a fair comparison on the energy performance of data centers," Applied Energy, Elsevier, vol. 276(C).
  23. 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.
  24. Wang, Wei & Abdolrashidi, Amirali & Yu, Nanpeng & Wong, Daniel, 2019. "Frequency regulation service provision in data center with computational flexibility," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  25. Yang, Ting & Zhao, Yingjie & Pen, Haibo & Wang, Zhaoxia, 2018. "Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation," Applied Energy, Elsevier, vol. 231(C), pages 277-287.
  26. Kim, Hyunho & Zheng, Junjie & Yin, Zhenyuan & Kumar, Sreekala & Tee, Jackson & Seo, Yutaek & Linga, Praveen, 2022. "An electrical resistivity-based method for measuring semi-clathrate hydrate formation kinetics: Application for cold storage and transport," Applied Energy, Elsevier, vol. 308(C).
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