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Paint IT GreenA Guide to Lowering Your ICT Carbon from Data Centre to Desktop

Paint IT GreenA Guide to Lowering Your ICT Carbon from Data Centre to Desktop

• Welcome To The University of Hertfordshire

• Professor Di Martin, Chief Information Officer

• 10:00Keynote Speaker: Dr Ian Bitterlin, CTO, Prism Power, 'Shared services': increased energy efficiency via consolidation in larger

facilities• 10:30Break & Refreshments• 11:00Steve Phipps, Data Centres Manager, UH, A Best Practice Guide to Greening the Micro Data

Centre• 11:40Katherine O'Brien, Environmental Coordinator, UH, Useful Strategies for Improving

Environmental Performance• 12:00Pete Sands, Lead Data Centre Design Consultant, Future-Tech SCI, The Cost of Data Centre

Ownership• 12:30Lunch• 13:30Howard Noble, Principle Investigator, Oxford University, "When Should I Do My Bit”

(Workshop)• 14:00Steve Phipps, Data Centres Manager, UH, Providing a Green Benchmark• 14:30Mark Johnson, Consultant, AEA Group, What CRC means for HE/FE/Public Sector and what

to do about it• 15:00Break & Refreshments• 15:30Panel Discussion Chair: Professor Andrew Starr, Director of the Centre for Sustainable

Communities, UH, Panel: Barry Lewington, • 16:00Richard Smeeton, CTO, UH, Wrap Up of the Day• 16:30 - 18:00 Networking / Refreshments

Paint IT Green Conference ProgrammeRichard Smeeton, Chief Technology Officer, UH

Next PresentationKeynote – Dr Ian Bitterlin

'Shared services': Increased energy efficiency via

consolidation in larger facilities?

Dr Ian F BitterlinPhD BSc(Hons) BA DipDesInn

MCIBSE MIET MIEEE MBCS MBIFMPrism Power Ltd, UK

www.prismpower.co.uk

Three steps to Sustainability• Reduce consumption

– The social & economic value of the data processed?• Improve efficiency

– Not just PUE but also IT software & hardware• Use energy from renewable sources

– Building a ‘legacy’ datacentre next to a hydro-electric scheme is NOT a sustainable design, it is a waste of valuable green energy on an inefficient data centre

‘Value’ of the traffic?• Rise of the ‘Hyper Giants’: Five years ago, Internet traffic was

proportionally distributed across tens of thousands of enterprise managed web sites and servers around the world.

• Today, most content has increasingly migrated to a small number of very large hosting, cloud and content providers.

• Out of the 40,000 routed end-sites in the Internet, 30 large companies – “hyper giants” like Limelight, Facebook, Google, Microsoft and YouTube – now generate and consume a disproportionate 30% of all Internet traffic.

Arbor Networks, 13th October 2009

Targets should be IT & Cooling?

IT hardware efficiency = 0%?• Worldwide chip utilisation = ~5%• IT power = chip, memory, drives, I/O, power conversion & fans• At ~5% IT ‘load’ the average server draws >60% power

Where the power goes … PUE=1.6

IT load

Distribution & UPS losses

Cooling fans, pumps & compressors

Lighting & small power

Security, BMS

Ventilation – Fresh Air

Communications

5 kW15 kW

240 kW

500 kW

35 kW3 kW2 kW

Total 800 kW

1MVA

PUE = 800kW/500kW = 1.6

What is ‘the’ PUE?

Key factors for high efficiency• High efficiency servers & software• Heavy Virtualisation

– Multiple applications per server

• High load Vs capacity, M&E• Free-cooling or Fresh-air cooling• Relaxed set-points for temperature + humidity• Strict air-flow management• High efficiency UPS

Free-Cooling – not ‘free’, but cheap

Free Cooling Vs temperature

Electrical systems: Efficiency Vs Load

Easy to do on a large scale

• Leverage infrastructure, NOC etc• Modularise• Consolidate the load(s)• Build rooms and you grow• Manage the load Vs capacity• Be clever with the redundancy strategy

Hard to do on a small scale?• Predict the system capacity to get the end-game plan ‘right’

– Room will generally end up too large running at too low a load with the ‘future’ in mind

• Keep the UPS system load high without having too much modularity– Likely to be running at 30% load & 80% efficiency

• Introduce free-cooling– Most likely to be ‘split’ air-con with CoP of 3-4 instead of 1.15-

1.30

What could the impact be?• 100 small data-rooms, 10 cabinets of 2kW each,

20kW IT load but designed for 50kW, each operating at PUE3 of 2.5– Total demand = 5MW

• One colo-facility of 200 cabinets of 6kW operating at PUE3 of 1.3– Total demand = 1.6MW– c70% reduction

Questions?

Next Break and Refreshments

Next PresentationSteve Phipps