SBIR-STTR Award

Fluid Submersion Cooling for Energy and Cost Efficient Data Centers
Award last edited on: 10/7/2020

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$1,197,900
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Christiaan Best

Company Information

Green Revolution Cooling Inc (AKA: GR Cooling~GRC)

11525 Stonehollow Drive Suite A-135
Austin, TX 78758
   (512) 692-8003
   info@grcooling.com
   www.grcooling.com
Location: Single
Congr. District: 10
County: Travis

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2009
Phase I Amount
$150,000
This Small Business Innovation Research (SBIR)Phase I project proposes to develop a high performance mineral oil submersion cooling system for computer servers. While CPU (Central Processing Unit) over-clocking offers the potential to increase output from existing servers by up to 30%, it will also increase the heat generated in a small space in a non-linear fashion likely affecting server reliability. Inefficient cooling is a key driver in data center energy consumption, which has recently risen from 1% of US electricity to a predicted 3%. Mineral oil is better and heat dissipation than air, providing better cooling performance to allow over-clocking of computer servers while reducing the amount of cooling energy needed. The proposed Phase I research objectives are to: (i) design and install a cooling system specifically for high performance cooling; (ii) investigate and implement the best method to over-clock servers; (iii) document server performance and cooling requirements of an over-clocked system over a range of CPU clock speeds; (iv) document and improve system ease-of-use and ergonomics. The anticipated technical result is to quantify the performance and cost and energy benefits of a mineral oil immersion cooling system for over-clocked servers. The broader impact/commercial potential of this project comes from (a) increasing server processing power while (b) lowering energy use and (c) lowering build-out costs of a computer data center. For computational-heavy research institutions, over-clocking offers the potential to solve more of society's research needs with fewer resources as computer servers would perform significantly more computations than before. Also, lowering the energy of a large contributor to incremental US electricity demand will greatly benefit the environment. Finally, the build-out costs of a data center, which scales roughly in-line with power consumption, will also be greatly reduced as cooling energy is reduced

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2011
Phase II Amount
$1,047,900
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