4.7 Article

System-level experimental investigations of the direct immersion cooling data center units with thermodynamic and thermoeconomic assessments

Journal

ENERGY
Volume 217, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119373

Keywords

Data center cooling; Thermodynamic analysis; Economic analysis; Thermal management; Immersion cooling; Life cycle costing

Funding

  1. Nanyang Technological University (NTU)
  2. Defense Science and Technology Agency
  3. Economics Development Board Singapore -EcoCampus at NTU project

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The study evaluates thermodynamic, economic, and thermoeconomic aspects of two different direct immersion cooling data center systems. The two-phase cooling system outperforms the single-phase system in terms of coefficient of performance, and replacement and energy costs are crucial future cost terms. The economic feasibility of both systems is influenced by server power rates, with higher rates making them more affordable with lower future costs.
The study is to perform thermodynamic, economic and thermoeconomic assessments for two different direct immersion cooling data center systems which are the single-phase and the two-phase immersion cooling systems with the operating ranges of 3.2-27.6 kW and 6.8-15.9 kW, respectively. The two-phase cooling system achieves 72-79% better coefficient of performance trends than the single-phase cooling system. According to the present worth method, the replacement and the energy costs are found as the most dominant future cost terms for the two-phase and the single-phase cooling systems, respectively. The annual exergy cost of the two-phase cooling system is found up to 4.91 times the annual energy costs due to the dominant effects of the destruction and loss terms. Moreover, both cooling data center systems are compared to the existing air-cooled data center unit. They are found economically infeasible for the server power rates below 5 kW because of their higher capital investment costs while they become more affordable for higher server power rates with lower future cost terms. (C) 2020 Elsevier Ltd. All rights reserved.

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