SBIR Phase II: Fluid submersion cooling for energy and cost efficient data centers

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$452,695.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
1127222
Award Id:
n/a
Agency Tracking Number:
1127222
Solicitation Year:
2012
Solicitation Topic Code:
BC
Solicitation Number:
n/a
Small Business Information
5555 N. Lamar Ste K117, Austin, TX, 78758-0000
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
828680186
Principal Investigator:
Christiaan Best
(512) 771-2902
christiaan.best@grcooling.com
Business Contact:
Christiaan Best
(512) 771-2902
christiaan.best@grcooling.com
Research Institute:
Stub




Abstract
This Small Business Innovation Research Phase II project proposes to commercialize liquid submersion cooling for computer servers. Liquid submersion cooling involves submersion of heat-generating components in a non-electrically-conductive liquid, replacing air as the heat transfer medium. Liquid is significantly better than air to transfer heat, but historically has required cost-prohibitive capital expenditures due to the added complexity of previous liquid cooling architectures. The research objectives are to produce a system capable of being mass produced at low cost, and with compelling system features that drive customer demand. The broader impact/commercial potential of this project includes lowering of one of the largest marginal contributors to US electricity use. The EPA estimates that data centers now use nearly 3% of US electricity, up from nearly 1% in 2000, with nearly half of power being driven by using air as the primary heat transfer medium. This high-efficiency system offers the potential to cut total energy use by nearly 50% by nearly eliminating energy for cooling and reducing server power through internal fan removal, while offering higher cooling performance and lower costs. Also, this new heat-recapture system offers the potential to eliminate nearly all server energy in many locales. Alternate cooling solutions that are cost effective only offer marginal improvements, and as computing becomes a larger part of the economy, the search for more energy and cost efficient technologies will become more critical.

* information listed above is at the time of submission.

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