Abstract
With the rapid development and urgent requirement of high computing power, the energy consumption of data center (DC) is constantly increasing. The issue of high energy consumption constrains rapid development of DCs and becomes a major challenge that urgently needs to be solved in the transformation of DCs towards large-scale, intelligent, and energy-saving. In the present study, a cabinet level single-phase immersion cooling (SPIC) system was experimentally investigated with coolant of Noah 3000D. The cooling capacity and energy consumption level of the SPIC system were investigated. The impacts of the heat load, coolant flow rate, and cooling water flow rate on the thermal performance of the SPIC unit were quantitatively analyzed. Based on experimental data fitting, the heat transfer criterion correlation and pressure difference calculation formula were obtained. The error caused by the heat transfer criterion correlation and pressure difference calculation formula is basically within ± 5 %. Based on the multi-objective optimization, both the coolant flow rate and cooling water flow rate cause obvious influences on the heat transfer coefficient and energy consumption of SPIC systems. The temperature changes on both sides of the heat exchanger can be ignored, and the error caused by the assumption does not exceed ± 1 %. With some valuable findings obtained, this work can supply some technique references for engineering design and operation management of SPIC systems.
Published Version
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