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Multi-criteria assessments of increasing supply air temperature in tropical data center

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  • Zhou, Jing
  • Kanbur, Baris Burak
  • Le, Duc Van
  • Tan, Rui
  • Duan, Fei

Abstract

With rapid development of information technology, the number and scale of data centers (DCs) increase rapidly. Therefore, cooling energy saving becomes crucial. This study proposes multi-criteria assessments of increasing supply air temperature (SAT) in the air-cooled DCs to analyze the interactions of internal and external factors in cooling systems comprehensively. Impacts of refrigerant charge (RC), evaporation pressure (EP) control limits, and hot aisle containment (HAC) with improvements in SAT are compared and analyzed according to the thermodynamic, economic, and thermoeconomic aspects. Overall, as SAT increases from 20 °C to 32 °C, the power usage effectiveness decreases by 16.8%–19.3%. Increase in RC leads to energy consumption and cost increasing at high SAT ranges, whereas high RC shows obvious advantages at the low SAT from the thermoeconomic aspects. Additionally, releasing EP control limits has significant advantages in reducing energy usage, and cumulative present worth of data center testbed can decrease by 5.2% and 6.0% at low and high RC operations, respectively. Return on investment and payback period analysis are also performed in the testbed with the HAC reform, and the payback period is about 1–3 years with the SAT setting range at 20–32 °C.

Suggested Citation

  • Zhou, Jing & Kanbur, Baris Burak & Le, Duc Van & Tan, Rui & Duan, Fei, 2023. "Multi-criteria assessments of increasing supply air temperature in tropical data center," Energy, Elsevier, vol. 271(C).
  • Handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223004371
    DOI: 10.1016/j.energy.2023.127043
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    1. Cao, Jiahao & Luo, Mingyun & Fang, Xiaoming & Ling, Ziye & Zhang, Zhengguo, 2020. "Liquid cooling with phase change materials for cylindrical Li-ion batteries: An experimental and numerical study," Energy, Elsevier, vol. 191(C).
    2. Jin, Chaoqiang & Bai, Xuelian & Yang, Chao & Mao, Wangxin & Xu, Xin, 2020. "A review of power consumption models of servers in data centers," Applied Energy, Elsevier, vol. 265(C).
    3. Yuling Li & Xiaoying Wang & Peicong Luo & Qingyi Pan, 2019. "Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization," Energies, MDPI, vol. 12(8), pages 1-18, April.
    4. Kanbur, Baris Burak & Wu, Chenlong & Fan, Simiao & Duan, Fei, 2021. "System-level experimental investigations of the direct immersion cooling data center units with thermodynamic and thermoeconomic assessments," Energy, Elsevier, vol. 217(C).
    5. Ebrahimi, Khosrow & Jones, Gerard F. & Fleischer, Amy S., 2015. "Thermo-economic analysis of steady state waste heat recovery in data centers using absorption refrigeration," Applied Energy, Elsevier, vol. 139(C), pages 384-397.
    6. 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).
    7. Han, Zongwei & Ji, Qiang & Wei, Haotian & Xue, Da & Sun, Xiaoqing & Zhang, Xueping & Li, Xiuming, 2020. "Simulation study on performance of data center air-conditioning system with novel evaporative condenser," Energy, Elsevier, vol. 210(C).
    8. Güğül, Gül Nihal & Gökçül, Furkan & Eicker, Ursula, 2023. "Sustainability analysis of zero energy consumption data centers with free cooling, waste heat reuse and renewable energy systems: A feasibility study," Energy, Elsevier, vol. 262(PB).
    9. 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).
    10. Shao, Shuangquan & Liu, Haichao & Zhang, Hainan & Tian, Changqing, 2019. "Experimental investigation on a loop thermosyphon with evaporative condenser for free cooling of data centers," Energy, Elsevier, vol. 185(C), pages 829-836.
    11. 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.
    12. Lionello, Michele & Rampazzo, Mirco & Beghi, Alessandro & Varagnolo, Damiano & Vesterlund, Mattias, 2020. "Graph-based modelling and simulation of liquid immersion cooling systems," Energy, Elsevier, vol. 207(C).
    13. Han, Ouzhu & Ding, Tao & Mu, Chenggang & Jia, Wenhao & Ma, Zhoujun, 2023. "Waste heat reutilization and integrated demand response for decentralized optimization of data centers," Energy, Elsevier, vol. 264(C).
    Full references (including those not matched with items on IDEAS)

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