CENIC 2009 Conference

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1 Green Datacenter Initiatives at UCSD CENIC 2009 Conference Dallas Thornton SDSC Division Director, Cyberinfrastructure Services

2 Campus Quick Facts With a daily population of over 45,000, UC San Diego is the size and complexity of a small city. Electricity Peak demands (MW) City of San Diego UC San Diego As a research and medical institution, we have a higher consumption of energy than comparable communities Qualcomm SDSU Courtesy Steve Relyea, UCSD VC, Business Affairs

3 Campus Quick Facts 11 million sq. ft. of facility space, if we were a landlord, we would be the largest in San Diego Square Feet of Facility Space (in millions) UC San Diego 11 City of San Diego 8 Qualcomm 6 Included in the daily population of 45,000, we have over 8,000 student residents living on campus SDSU 5 Courtesy Steve Relyea, UCSD VC, Business Affairs

4 Campus Quick Facts UC San Diego produces 197,000 tons of carbon dioxide each year UC San Diego is a charter member of, and first university in the California Climate Action Registry.and one of 7 university members of the Chicago Climate Exchange Carbon Footprint metric tons/yr CO2 (in thousands) City of San Diego Qualcomm SDSU UC San Diego Courtesy Steve Relyea, UCSD VC, Business Affairs

5 Campus Quick Facts We self generate 80% of our electricity demand using efficient CNG fueled cogeneration. Even though UC San Diego generates the majority of its own electricity, we remain one of the top 5 customers of SDG&E ENERGY (GWhr) PER YEAR Generation Renewable Generation Consumption SDSU 87 Qualcomm City of SD UC San Diego Courtesy Steve Relyea, UCSD VC, Business Affairs

6 Campus Quick Facts ICT is a major contributor to UCSD s overall energy consumption (over 25%). ENERGY (GWhr) PER YEAR Generation Consumption Renewable Generation Improved efficiencies in this growing space represent a tremendous opportunity for campus energy and GHG savings. UC San Diego >65 Datacenter ICT Contributions Courtesy Steve Relyea, UCSD VC, Business Affairs

7 Energy Savings Multiply Courtesy Jack Pouchet, Emerson

8 Working on Many Fronts Efficient System Lifecycles Distributing Higher-Voltage Power (277/480V) to the datacenter, reducing losses. Experimenting with DC-Only Power Distribution Free Cooling Opportunities High-efficiency UPS Retrofit Air handling retrofit with variable frequency drive fans and modulating chilled water valves to match cooling to real-time loads. Cold / Hot Aisle Containment

9 Efficient System Lifecycles Efficient Purchasing Energy efficiency and carbon footprint now major components of hardware proposal evaluations Current Triton HPC proposal evaluation heavily stresses system energy efficiency. Recent selection of networking equipment supporting UC wide colocation activities emphasized infrastructure that scales in an energy efficient way Hardware Retirement Window Incentivizing three year refresh for UCSD colocation activities Recommendation to require full costs, including utilities, to be paid by researchers for legacyhardware beyond three years. Appropriate recycling and disposal programs for IT equipment Networking equipment, systems, monitors, hard drives, etc.

10 Cold/Hot Aisle Containment Expect 50 80% better cooling airflow efficiency than traditional hot/cold aisle Separates cold/hot air, eliminating the need for over cooling, over blowing Allows for high temperature differentials, maximizing efficiency of cooling equipment Cold Aisle Containment Knuerr Coolflex First deployment in the United States Requires a standardized di ddatacenter Enclosed cold aisles (70 78F) Servers exhaust to room as a whole, which runs hot (90 100F) Hot Aisle Containment Essentially a heat chimney on top of hot aisles with doors at each end. Flexible, can be phased dincrementally Cold room as a whole (70 78F) Exhaust to enclosed hot aisle (100+F), ducting directly to cooling systems

11 Water-Side Economizers Free Cooling in planning to take advantage of San Diego s temperate climate Cooling towers should dissipate60%+of the server heat loads Likely to provide 100% of the cooling at night Will reduce chilled water consumed and energy spent by chillers

12 Typical California Grid Load vs. Wind Energy Availability Typical Power Grid Demand Wind Power Availability

13 Typical Datacenter Footprint Typical Datacenter Cooling Block Load Typical Datacenter Block Load Wind Power Availability Curve Scarce Energy (Much Less Renewable) Resources Mid-Day Block Load Energy Pricing Costly During Peak Periods

14 Load Shaping to Utilize Off-Peak Wind Energy Shaped Datacenter Cooling Variable Load Typical Datacenter Block Load Wind Power Availability Curve Utilize Otherwise Wasted Renewable Energy Resources Shed Peak Demand & Leverage Low Off-Peak Power Rates

15 How to Get There Thermal Energy Storage Planning contained electrical ice makers for night time thermal storage Throttle down gas cogeneration and import off peak wind energy Use stored energy for cooling during the day Maintain steam and electric chillers for daytime redundancy

16 QUESTIONS?

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