energy efficiency data center overview

Energy Drivers in the Data Center

Schneider Electric 2- IT Business – Jan 2012

Schneider Electric: The global specialist in energy management

€21.3 billion sales in 2010

120,000 people in more than 100 countries

>200 factories around the world

R&D centres in 25 countries


You can find most of the Schneider portfolio in a typical data center today

Switchgear and power distribution

Building automation

Data center power, cooling,

racks, and management

Energy management

Data center services


The new APCA Heritage of leadership, experience and innovation

● APC was acquired by Schneider Electric in 2007● MGE UPS Systems, another division of Schneider

Electric, merged with APC● Together they represent the Critical Power & Cooling

Services Business Unit of Schneider Electric


Electricity IN

Heat OUT

The New Reality:Keystrokes Kilowatts


Demand for bandwidth is exploding…

Business must react quickly

6


Which is putting data center planning and operation under increasing pressures

Energy and service cost control pressure

Increasing availability expectations

Regulatory requirements

Server consolidation

Rapid changes in IT technology

High density blade server power/heat

Dynamic power variation

Uncertainlong-term plans for capacity or density

In response, we are working to change the way the world designs, installs, operates, manages,

and maintains data centers


Data Center Energy Consumption

Source: EPA Report to Congress on Server and Data Center Energy Efficiency; August 2, 2007

8Schneider Electric Solution + Innovation Tour


Rack Power Consumption INCREACING…while many data centers are shrinking.

Source: EPA Report to Congress on Server and Data Center Energy Efficiency; August 2, 2007

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● Resulting power draws per rack have grown eightfold since 1996

● Average (Peak) kW per rack• 2000: 1kW• 2006: 2-4kW• 2010: 6kW+

● Over 40% of data center customers report power demand outstripping supply

● Power density is increasing with new server form factors

● Power and cooling budgets have become difficult to predict …

● And the pace of technology continues unabated …

Peak Kilowatts per rack

0

5

10

15

20

25

30

1996 1998 2000 2002 2004 2006 2008 2010

Kilo

wa

tts


*CIA World Factbook 2008**World Wind Energy Report 2009

USA 2008Electricity consumption

Wind 2009 Worldwide capacity

Solar 2009Worldwide capacity

3,873 TWh*

340 TWh**

26 TWh

The Big Picture (as it relates to Power and Cooling)

Total electric power use on Earth in 2008 17,096 TWh*

Data centers and networks use about 342 TWh2%

Wasted due to inefficiency of traditional DC physical infrastructure*1/3%

Potential savings now!

112 TWh

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Energy Use & Reporting for the Data Center

PUE (Power Usage Effectiveness) =Total Facility Power*

IT Equipment Power

* The facility power dedicated to the data center

The EPA Energy Star rating for Data Centers based on PUE

Schneider Electric Solution + Innovation Tour 11


Virtualization myths

● Virtualization always increases efficiency

● I don’t need to worry about power and cooling when virtualizing

● High density and high efficiency cannot coexist

● Virtualization requires high density data centers


$193,123Before Virtualization

Source: TradeOff Tool - TT9 Rev 0 “Virtualization Energy Cost Calculator”

Optimized power & cooling• 60 kW capacity• Data center load 88%

• PUE = 1.6

Annual electric bill

Simple Case StudyImplementing Virtualization in a data Center

54%savings

27%

36%

● Average 7 kW / rack

● DX air conditioning

● No redundancy

● $0.12 / kW hr

● Right-sized power & cooling

● Close-coupled cooling

● Use blanking panels

● High-efficiency UPS (96%)

$89,251After NCPI

Improvements

$140,305After Virtualization

Before virtualization●120 kW data center capacity ●90 kW IT load (75% loaded)●59 kW total server load

(66%)

●PUE = 2.0

After virtualization• 53 kW IT load (42% loaded)• 22 kW total server load• 75% servers virtualizable• Server consolidation ratio 20:1

• PUE= 2.5


Cooling Architectures Studied

Central Air Handling Unit(CAHU)

Computer Room Air Handler(CRAH)

InRow Air Handler(IRAH)


Grate tile

Blade Servers

Standard IT Equipment

WithEffort

TypicalCapability Extreme Impractical

12

10

8

6

4

2

00 100 200 300 400 500 600 700 800 900 1000

[47.2] [94.4] [141.6] [188.8] [236.0] [283.2] [330.4] [377.6] [424.8] [471.9]

500-700 cfm

Additionally requiresgrate-type tiles

Perf tile

RackPower(kW)

that can becooled by one tile with this

airflow

Single tile per rack10 degree C rise160CFM/KW

Cooling capability limitations of the raised floor

Tile Airflow (cfm) [L/s]


Solid rear doors

Return air contained

Containedhot aisle

Cold aisle

Cold aisle

Hot aisle

Zone technologies

REAR containment

NO containment

HOT-AISLE containment


12

4

3

5

Close Coupled / Contained Cooling

Ultra-high efficiency UPS

Capacity and energy management software for power, cooling, and racks

Scalable power and cooling equipment

High-efficiency AC power distribution

Products we offer as part of our solutions

Achieving high efficiency in high-density data centers

126

White paper


APC… Complete Solution Offering

kW / rack

Inro

wR

oom

Uni

t E

cobr

eeze

Ecobreeze + Thermal containment


High-efficiency UPS

50%

55%

60%

65%

70%

75%

80%

85%

90%

95%

100%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

% IT Load

% L

oss

● UPS efficiency has large effect on data center efficiency because total IT load goes through it

● Improvement over typical from 80% to 96% efficiency at 20% load corresponds to loss reduction of 80%

● Electricity savings can pay for the UPS in many cases

● Side effect of high efficiency design: UPS is nearly silent

% E

ffic

ien

cy


● Over half the power and cooling losses in a data center are fixed and do not vary with the IT load (so efficiency degrades as IT load declines)

● Oversizing is therefore a primary contributor to inefficiency

● Virtualization and server power management will make this problem worse, if power and cooling are sized to peak IT loads that are not typical

● New power and cooling devices can scale in capacity, reducing fixed losses

Scalable power and cooling

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

% IT Load

Efficie

ncy%

Eff

icie

ncy

Power and cooling

installation

%IT load


And Finally…. Management / Measurement


ISX OpsISX Central

ION-E Continuum/Vista

MONITOR CONTROL AUTOMATE

Power Business Unit Buildings Business Unit IT Business Unit


● Poor utilization of capacity is a primary cause of inefficiency

● Software can identify available capacity (even by rack) and help prevent creation of stranded capacity

● Side effect is you can fit more IT equipment in the power and cooling “envelope” of the data center

● Energy management can identify efficiency improvement opportunities

StruxureWare Data Center Expert software

with Capacity Manager

150

White paper

Capacity and energy management


Software Management Platforms: Purpose



Questions

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Technology

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