Benchmarking results from Indian data centers Data Center Energy Efficiency 24 February, ACREX 2011, New Delhi Madhav Kamath. A Energy Efficiency Finance Lead USAID ECO-III Project
Data Center Benchmarking Initiative
A benchmark is a point of reference for measurement THE RANGE OF USES INCLUDES:! Comparing with typical examples where do we fit?! Comparing with best practice are we doing well?! Setting a challenge better? can we do! Setting targets achieve we plan to! Avoiding exaggeration are our targets realistic?! Follow-through reality checks is the design drifting off?! Providing feedback did we meet our goals?! Providing insights if not, why not, what can we learn? IT IS NOT an end in itself, e.g. meeting the benchmark BUT a means of developing understanding Source: Bill Bordass and motivating improvement.
What does Benchmarking do? Benchmarking! Serves as an excellent baseline "report card! Identifies specific problem areas and eliminates guesswork! Helps to prioritize improvement opportunities! Makes it easier to increase performance expectations and "raise the bar"! Creates a sense of competitiveness and shifts the market towards better-performing levels.
Benefits of Benchmarking! Designers, Owners and Users Designers /ESCOs Building performance targets for new and existing data centers Owners/Users Measure the performance of their data centers Building portfolio managers can compare the performance of individual facilities to others! Data Center Developers and Operators Helps to assess the potential savings Use of appropriate products and technologies! Policy Makers Reward/Incentivize exemplary building performance and penalize/discourage poor building performance
Facility Data ID! Data! ID! Data! General Data Center Data! Data Center Energy Data! db1! Data Center Area (electrically active) (m 2 )! de1! Total Electrical Energy Use (kwh)! db2! Data Center Location! de2! IT Electrical Energy Use (kwh)! db3! Data Center Type! de3! HVAC Electrical Energy Use (kwh)! db4! Year of Construction! de4! Total Fuel Energy Use (kwh)! Cooling! de5! Total District Steam Energy Use (kwh)! dc1! Average Cooling System Power Consumption (kw)! de6! Total District Chilled Water Energy Use (kwh)! dc2! Average Cooling Load (tons)! Air Management! dc3! Installed Chiller Capacity (w/o backup) (tons)! da1! Supply Air Temperature ( C)! dc4! Peak Chiller Load (tons)! da2! Return Air Temperature ( C)! dc5! Air Economizer Hours (full cooling) (hours)! da3! Supply Air Relative Humidity (%)! dc6! Water Economizer Hours (full cooling) (hours)! da4! Return Air Relative Humidity (%)! Electrical Power Chain! da5! Rack Inlet Mean Temperature ( C)! dp1! UPS Peak Load (kw)! da6! Rack Outlet Mean Temperature ( C)! dp2! UPS Load Capacity (kw)! da7! Total Fan Power (Supply and Return) (W)! dp3! UPS Input Power (kw)! da8! dp4! UPS Output Power (kw)! dp5! Average IT or Server Power (kw)! dp6! Average Lighting Power (kw)! Total Fan Airflow rate (Supply and Return) (m 3 / s)!
Benchmarking Metrics ID! Name! Unit! Overall Data Center Performance Metrics! B1! Data Center Infrastructure Efficiency (DCiE)! -! B2! Power Usage Effectiveness (PUE)! -! B3! HVAC System Effectiveness! -! Air Management Metrics! A1! Temperature Range! C! A2! Humidity Range! %! A3! Return Temperature Index! %! A4! Airflow Efficiency! W/m3/sec! Cooling Metrics! C1! Cooling System Efficiency! kw/ton! C2! Cooling System Sizing Factor! -! C3! Air Economizer Utilization Factor! %! C4! Water Economizer Utilization Factor! %! Electrical Power Chain Metrics! P1! UPS Load Factor! %! P2! UPS Efficiency! %! P3! IT Equipment Load Density! W/sqm! P4! Lighting Power Density! W/sqm!
Data Center Benchmarking Source: Green Grid PUE DCiE Level of Efficiency 3.0 33% Very Inefficient 2.5 40% Inefficient 2.0 50% Average 1.5 67% Efficient 1.2 83% Very Efficient Power Usage Effectiveness Data Center Infrastructure Efficiency PUE = Total Facility Power/ IT Equipment Power DCiE = IT Equipment Power/ Total Facility Power
-.! Data Center Benchmarking - PUE 0)/&($12"3&$45&%67&'&22$80149$ INDIA '#$"! '#""! &#$"!!"#"$%&'#&($#)#"*+,-$.)/&($$ &#""! %#$"! %#""! "#$"! "#""! %! &! '! (! $! )! *! +!,! %"! %%! %&! %'! %(! %$! %)! %*! %+! %,! &"! &%! &&! &'! &(! &$! &)! &*! &+! &,! '"! '%!
-.! Data Center Benchmarking - PUE 0)/&($12"3&$45&%67&'&22$80149$ INDIA '#$"! '#""! &#$"! Avg. PUE (US) =1.81 Avg. PUE (India) =1.78!"#"$%&'#&($#)#"*+,-$.)/&($$ &#""! %#$"! %#""! "#$"! "#""! %! &! '! (! $! )! *! +!,! %"! %%! %&! %'! %(! %$! %)! %*! %+! %,! &"! &%! &&! &'! &(! &$! &)! &*! &+! &,! '"! '%!
Data Center End-use breakdown 7% 35% %""/!,"/! +"/!!"#"$%&'#&($&':;<2&$=(&">:)/'$ 58% 4':;<2&$=(&">:)/'$ *"/! )"/! $"/! ("/! 01234! 5637148796! :;<=! >?! '"/! &"/! %"/! "/! %! &! '! (! $! )! *! +!,! %"! %%! %&! %'! %(! %$! %)! %*! %+! %,! &"! &%! &&! &'! &(! &$! &)! &*! &+! &,! '"! '%!!"#"$%&'#&($'<?=&($
HVAC System Effectiveness @ABC$DE2#&?$45&%67&'&22$ (#""! '#$"! '#""!,-$0)/&(+@ABC$.)/&($ &#$"! &#""! %#$"! %#""! "#$"! "#""! %! &! '! (! $! )! *! +!,! %"! %%! %&! %'! %(! %$! %)! %*! %+! %,! &"! &%! &&! &'! &(! &$! &)! &*! &+! &,! '"! '%!!"#"$%&'#&($,!$
Conclusion! Energy Benchmarking can be effective in helping to identify better performing designs and strategies. As new Strategies are implemented, energy benchmarking will enable comparison of performance! India needs robust benchmarking numbers Calls for participation from large number of DC
! LBNL / USDOE! USAID India! NASSCOM Acknowledgements! Bureau of Energy Efficiency (BEE)! Data Contributors: APC, Hewlett Packard, Intel, Maruti, Texas Instruments
Thank You