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  4. Two-Phase Mini-Thermosyphon For Cooling Of Datacenters: Experiments, Modeling And Simulations
 
conference paper

Two-Phase Mini-Thermosyphon For Cooling Of Datacenters: Experiments, Modeling And Simulations

Ong, Chin L.
•
Amalfi, Raffaele L.
•
Marcinichen, Jackson B.
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2017
Proceedings Of The Asme International Technical Conference And Exhibition On Packaging And Integration Of Electronic And Photonic Microsystems, 2017
ASME International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems

Nowadays, datacenters heat density dissipation follows an exponential increasing trend that is reaching the heat removal limits of the traditional air-cooling technology. Two-phase cooling implemented within a gravity-driven system represents a scalable and viable long-term solution for datacenter cooling in order to increase the heat density dissipation with larger energy efficiency and lower acoustic noise. The present article builds upon the 4-part set of papers presented at 'THERM 2016 for a 15-cm height thermosyphon to cool a contemporary datacenter cabinet, providing new test data over a wider range of heat fluxes and new validations of the thermal hydrodynamics of our thermosyphon simulation code. The thermosyphon consists of a microchannel evaporator connected via a riser and a downcomer to a liquid-cooled condenser for the cooling of a pseudo-chip to emulate an actual server. Test results demonstrated good thermal performance coupled with uniform flow distribution for the new larger range of operating test conditions. At the maximum imposed heat load of 158 W (corresponding to a heat flux of 70 W cm(-2)) with a water inlet coolant at 20 degrees C, water mass flow rate of 12 kg h(-1) and thermosyphon filling ratio of 78%, the pseudo mean chip temperature was found to be 58 degrees C and is well below the normal thermal limits in datacenter cooling. Finally, the in-house LTCM's thermosyphon simulation code was validated against an expanded experimental database of about 262 data points, demonstrating very good agreement; in fact, the pseudo mean chip temperature was predicted with an error band of about 1 K.

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