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Data Center Efficiency … we are not there yet! Dr. Wolfgang zu Castell

Data Center Efficiency … … we are not there yet!

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Data Center Efficiency … … we are not there yet!. Dr. Wolfgang zu Castell. Where do we come from?. Providig ICT services for the research center. 35. Cooling systems. Electrical and building systems. 30. 25. % of total data center electricity use. 20. 15. 10. 5. 0. Chiller/ - PowerPoint PPT Presentation

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Data Center Efficiency …… we are not there yet!

Dr. Wolfgang zu Castell

Where do we come from?

Providig ICT services for the research center

What is the problem?

Data center efficiency needs close interaction of ICT management with facilities management need to overcome classical planning paradigms

Power use

Chiller/cooling

tower

Informationtechnology

LightingSwitch/gen

Uninterruptiblepower

supply (UPS)

Power distribution

unit

Computerroom air-

conditioner

Humidifier

Cooling systems Electrical and building systems

% o

f to

tal

da

ta c

en

ter

ele

ctr

icit

y u

se

35

30

25

20

15

10

5

0

Source: IBM, Site & Facility Services

Where lies the potential?

• effect is cummulative have to incorporate all the technology at hand • resources are limited have to utilise resources without over provisioning• Europe leading in technology combine ideas using a holistic perspective• process is dynamic, not static need dynamic models and control

Source: IBM, Reserach & Development

What is the challenge?

Fac

ilit

ies

Man

ag

emen

t

ICT

Man

ag

emen

t

Lia

bil

itie

s

So

urc

ing

Strategy

Another „Berlin wall“?

Applications

Infrastructure

HVAC

Buildingvo

latil

est

ati

c

Limitation in availability of resourceshas to be accepted

use possible limits

(e.g. ASHRAE 2008: 18°-27°)

ICT must serve as promoter to optimise processes and make CO2 efficiency central goal

What can be done?

Shift of paradigm:

Identify limits of technical effectiveness and use effectiveness in an optimal way

• need to develop proper metrics (e.g. Green Grid CUE)• need to built up supply chain over all technical levels (provide energy, use energy and utilise heat)• consider building within its environment (e.g. ground water use, solar energy)• need consise process (planning, realisation and operation)

We can‘t control what we can not measure!

need to develop tools to analyse real-time, spatio-temporal data, model and simulate real-time scenarios

joint project with

Where to go from there?

complex systems

exposure chambers

German Mouse Clinic

laboratory animal facilities

Common aim: control of technical systems to simulate environmental conditions

Ultimate goal: control of biological systems