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1 | Lawrence Berkeley National Laboratory eere.energy.gov Organized by: Dale Sartor, P.E. Lawrence Berkeley National Laboratory Best Practices for Data Center Energy Efficiency Seminar (Version: 02/23/15) Hosted by the Technology Convergence Conference Santa Clara February 25, 2015

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Page 1: Best Practices for Data Center Energy Efficiency Seminar Hosted … TCC... · 2020. 1. 3. · Seminar Learning Objectives. 5 ... EPA Report to Congress 2008 Projected Data Center

1 | Lawrence Berkeley National Laboratory eere.energy.gov

Organized by:

Dale Sartor, P.E.Lawrence Berkeley National Laboratory

Best Practices for Data Center Energy Efficiency Seminar

(Version: 02/23/15)

Hosted by the Technology Convergence Conference

Santa ClaraFebruary 25, 2015

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2 | Lawrence Berkeley National Laboratory eere.energy.gov

Download Presentation

This Presentation is Available for download at:

http://datacenterworkshop.lbl.gov/

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3 | Lawrence Berkeley National Laboratory eere.energy.gov

• Introduction, performance metrics and benchmarking• Dale Sartor, LBNL

• IT equipment and software efficiency• Dale Sartor, LBNL

• Break• Data center environmental conditions

• Magnus Hurlin, ANSIS

• Airflow management• Brian Donathan, Teladata

• Break• Cooling systems

• Dale Sartor, LBNL

• Electrical systems• Mukesh Khattar, EPRI

• Break• DCIM and integrated controls (Use IT to save energy)

• Panel• Resources and workshop summary

Agenda

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4 | Lawrence Berkeley National Laboratory eere.energy.gov

Provide background on data center efficiency

Raise awareness of efficiency opportunities

Develop common understanding between IT and

Facility staff

Review of data center efficiency resources

Group interaction for common issues and solutions

Seminar Learning Objectives

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5 | Lawrence Berkeley National Laboratory eere.energy.gov

Challenging Conventional Wisdom: Game Changers

Conventional Approach

• Data centers need to be cool and controlled to

tight humidity ranges

• Data centers need raised floors for cold air

distribution

• Data centers require highly redundant building

infrastructure

Need Holistic Approach

• IT and Facilities Partnership

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6 | Lawrence Berkeley National Laboratory eere.energy.gov

Introduction, Performance Metrics and Benchmarking

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7 | Lawrence Berkeley National Laboratory eere.energy.gov

Data Center Energy

• Data centers are energy intensive facilities

– 10 to 100 times more energy intensive than an office

– Server racks now designed for more than 25+ kW

– Surging demand for data storage

– 2% of US Electricity consumption

– Projected to double in next 5 years

– Power and cooling constraints in existing facilities

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8 | Lawrence Berkeley National Laboratory eere.energy.gov

Global Data Center Electricity Use

8 Source: Koomey 2011.

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9 | Lawrence Berkeley National Laboratory eere.energy.gov

How Much is 152B kWh?

Source for country data in 2005: International Energy Agency, World Energy

Balances (2007 edition)

Turkey

Sweden

Iran

World Data Centers

Mexico

South Africa

Italy

Final Electricity Consumption (Billion kWh)

0 50 100 150 200 250 300

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10 | Lawrence Berkeley National Laboratory eere.energy.gov

Energy efficiency programs have helped keep per capita electricity consumption in California flat over the past 30 years

-

2,000

4,000

6,000

8,000

10,000

12,000

14,000

1960 1965 1970 1975 1980 1985 1990 1995 2000

KW

h

US California Western Europe

Aggressive Programs Make a

Difference

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11 | Lawrence Berkeley National Laboratory eere.energy.gov

EPA Report to Congress 2008

Projected Data Center Energy Use

Current Estimated Energy Use

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12 | Lawrence Berkeley National Laboratory eere.energy.gov

The Rising Cost of Ownership

• Demand for computing is growing faster than

efficiency

• Cost of electricity and supporting infrastructure

now surpassing capital cost of IT equipment

• Perverse incentives -- IT and facilities costs

separate

Source: The Uptime Institute, 2007

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13 | Lawrence Berkeley National Laboratory eere.energy.gov

LBNL operates large systems along with legacy systems

Lawrence Berkeley National Laboratory

We also research energy efficiency opportunity and work on various deployment programs

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14 | Lawrence Berkeley National Laboratory eere.energy.gov

LBNL Feels the Pain!

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15 | Lawrence Berkeley National Laboratory eere.energy.gov

0

5

10

15

20

25

30

35

40

Me

ga

Wa

tts

2001 2003 2005 2007 2009 2011 2013 2015 2017

NERSC Computer Systems Power

(Does not include cooling power)

(OSF: 4MW max)N8

N7

N6

N5b

N5a

NGF

Bassi

Jacquard

N3E

N3

PDSF

HPSS

Misc

LBNL Super Computer Systems Power

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16 | Lawrence Berkeley National Laboratory eere.energy.gov

Data Center Energy Efficiency = 15% (or less)

100 Units

Source

Energy

Typical Data Center Energy End Use

Server Load

/Computing

Operations

Cooling

Equipment

Power Conversions

& Distribution

33 Units

Delivered

35 Units

Power Generation

Energy Efficiency = Useful computation / Total Source Energy

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17 | Lawrence Berkeley National Laboratory eere.energy.gov

Server Load/

Computing

Operations

Cooling

Equipment

Power Conversion & Distribution

On-site Generation

• High voltage distribution

• High efficiency UPS

• Efficient redundancy strategies

• Use of DC power

• Server innovation

• Virtualization

• High efficiency

power supplies

• Load management

• Better air management

• Move to liquid cooling

• Optimized chilled-water plants

• Use of free cooling

• Heat recovery

• On-site generation

Including fuel cells and

renewable sources

• CHP applications

(Waste heat for cooling)

Energy Efficiency Opportunities

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18 | Lawrence Berkeley National Laboratory eere.energy.gov

Electricity Use in Data Centers

Courtesy of Michael Patterson, Intel Corporation

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19 | Lawrence Berkeley National Laboratory eere.energy.gov

• 20-40% savings typical

• Aggressive strategies can yield

50+% savings

• Extend life and capacity of

infrastructures

Potential Benefits of Data Center Energy Efficiency

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20 | Lawrence Berkeley National Laboratory eere.energy.gov

Benchmarking for Energy Performance Improvement:

• Energy benchmarking

can allow performance

tracking and comparison

to peers

• LBNL conducted studies

of over 30 data centers:

– Wide variation in

performance

– Identified best practices

• Can’t manage what isn’t

measured

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21 | Lawrence Berkeley National Laboratory eere.energy.gov

Data Center

Server Load

51%

Data Center

CRAC Units

25%

Cooling Tower

Plant

4%

Electrical Room

Cooling

4%

Office Space

Conditioning

1%

Lighting

2%

Other

13%

Computer

Loads

67%

HVAC - Air

Movement

7%

Lighting

2%

HVAC -

Chiller and

Pumps

24%

The relative percentages of the energy doing computing varies considerably.

Energy Performance varies

Your Mileage Will Vary

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22 | Lawrence Berkeley National Laboratory eere.energy.gov

Benchmarks Obtained by LBNL

Average PUE = 1.83

High Level Metric: Power Utilization Effectiveness (PUE) = Total Power/IT Power

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23 | Lawrence Berkeley National Laboratory eere.energy.gov

PUE

EPA Energy Star Average 1.91

Intel Jones Farm, Hillsboro 1.41

T-Systems & Intel DC2020 Test Lab, Munich 1.24

Google 1.16

Leibniz Supercomputing Centre (LRZ) 1.15

National Center for Atmospheric Research (NCAR) 1.10

Yahoo, Lockport 1.08

Facebook, Prineville 1.07

National Renewable Energy Laboratory (NREL) 1.06*

Slide Courtesy Mike Patterson, Intel

PUEs: Reported & Calculated

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24 | Lawrence Berkeley National Laboratory eere.energy.gov

Energy Metrics and Benchmarking

• Key Metrics:

– PUE and partial PUEs (e.g. HVAC, Electrical distribution)

– Energy Reuse (ERF)

– Utilization

• The future: Computational Metrics (e.g. peak flops

per Watt; transactions/Watt)

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25 | Lawrence Berkeley National Laboratory eere.energy.gov

Other Data Center Metrics:

• Watts per square foot, Watts per rack

• Power distribution: UPS efficiency, IT power supply

efficiency

• HVAC

– Fan watts/cfm

– Pump watts/gpm

– Chiller plant (or chiller or overall HVAC) kW/ton

• Air Management

– Rack cooling index (fraction of IT within recommended temperature

range)

– Return temperature index (RAT-SAT)/ITΔT

• Lighting watts/square foot

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26 | Lawrence Berkeley National Laboratory eere.energy.gov

Metrics & Benchmarking

Airflow Efficiency

Cooling System Efficiency

Power Usage Effectiveness

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27 | Lawrence Berkeley National Laboratory eere.energy.gov

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28 | Lawrence Berkeley National Laboratory eere.energy.gov

IT Equipment and Software Efficiency

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29 | Lawrence Berkeley National Laboratory eere.energy.gov

The value of one watt saved at the IT equipment

IT Server Performance -Saving a Watt…

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30 | Lawrence Berkeley National Laboratory eere.energy.gov30 Source: Intel Corporate Technology Group

Core Integer Performance Over Time*Power reduction Over Time*

Pentium® Pro Processor

Pentium® -II ProcessorPentium® -IIi Processor

Pentium® 4 Processor

Pentium® 4 Processor EE

Pentium® -D Processor

Core™ 2 Duo Processor X6800

Core™ 2 Duo Extreme QX6700

i486DX2

i486

386

Pentium® Processor

1986 20081988 1990 1992 1994 1996 1998 2000 2002 2004 2006

1

10

100

1000

10000

Single Core Moore’s Law

1970 1980 1990 2000 2005 2010

1.E-07

1.E-06

1.E-05

1.E-04

1.E-03

1.E-02

1.E-01

1.E+00

• Every year Moore’s Law is followed, smaller, more energy-efficient transistors result

• Miniaturization provides 1 million times reduction in energy/transistor size over 30+

years.

• Benefits: Smaller, faster transistors => faster AND more energy-efficient chips.

Moore’s Law

Source: Intel Corp.

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31 | Lawrence Berkeley National Laboratory eere.energy.gov

Computing Efficiency Increases 100x Every Decade

Source: Koomey et al. 2011

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32 | Lawrence Berkeley National Laboratory eere.energy.gov

Data collected recently at a Fortune 100 company; courtesy of John Kuzma and William Carter, Intel

4%

3%

93%

60%

5%

35%32%

4%

64%

Age Distribution of Servers

2007 & Earlier

2008, 2009

2010 - Current

Energy Consumptionof Servers

Performance Capability of Servers

IT Equipment Age and Performance

Old Servers consume 60% of Energy, but deliver only 4% of Performance Capability.

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33 | Lawrence Berkeley National Laboratory eere.energy.gov

Idle servers consume as much as 50-60% of power @ full load as shown in SpecPower Benchmarks.

No Load

60% of full Load

IT Energy Use Patterns: Servers

Perform IT System Energy

Assessments

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34 | Lawrence Berkeley National Laboratory eere.energy.gov

PHYSICALLY RETIRE AN INEFFICIENT OR UNUSED SYSTEM

• Uptime Institute reported 15-30% of servers are on

but not being used

• Decommissioning goals include:

– Regularly inventory and monitor

– Consolidate/retire poorly utilized hardware

Decommission Unused Servers

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35 | Lawrence Berkeley National Laboratory eere.energy.gov

Virtualize and Consolidate Servers and Storage

• Run many “virtual”

machines on a single

“physical” machine

• Consolidate underutilized

physical machines,

increasing utilization

• Energy saved by shutting

down underutilized

machines

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36 | Lawrence Berkeley National Laboratory eere.energy.gov

Virtualization: Workload provisioningServer Consolidation

10:1 in many cases

HWHW

HW

VMM

Disaster Recovery

HW

VMM

HW

VMM

• Upholding high-levels of business continuity

• One Standby for many production servers

…OS

App

OS

App

OS

App …OS

App

HW

VMMHW

VMM

Balancing utilization with head room

Dynamic Load Balancing

OS

App1

OS

App2

OS

App3

OS

App4

CPU Usage

30%

CPU Usage

90%

CPU Usage CPU Usage

Enables rapid deployment,reducing number of idle, staged servers

R&D Production

HW

VMM

OS

App

Virtualize and Consolidate Servers and Storage

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37 | Lawrence Berkeley National Laboratory eere.energy.gov

Cloud Computing

• Dynamically scalable resources over the internet

• Can be internal or external

• Can balance different application peak loads

• Typically achieves higher utilization rates

Vertualized cloud computing can provide…

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38 | Lawrence Berkeley National Laboratory eere.energy.gov

• Power roughly linear to storage modules • Storage redundancy significantly increases energy• Consider lower energy hierarchal storage• Storage De-duplication - Eliminate unnecessary copies

Storage Systems and Energy

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39 | Lawrence Berkeley National Laboratory eere.energy.gov

LBNL/EPRI measured power supply efficiency

Typical operation

Use Efficient Power Supplies

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40 | Lawrence Berkeley National Laboratory eere.energy.gov

• Most efficient in the mid-range of performance curves• Right-size for load• Power supply redundancy puts operation lower on the curve• Use Energy Star or Climate Savers power supplies

Source: The Green Grid

Power Supply Units

Use Efficient Power Supplies

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41 | Lawrence Berkeley National Laboratory eere.energy.gov

Level of

CertificationEfficiency at Rated Load

115V Internal Non-

Redundant230V Internal Redundant

20% 50% 100% 20% 50% 100%

80 PLUS 80% 80% 80% n/a n/a n/a

80 PLUS Bronze 82% 85% 82% 81% 85% 81%

80 PLUS Silver 85% 88% 85% 85% 89% 85%

80 PLUS Gold 87% 90% 87% 88% 92% 88%

80 PLUS Platinum n/a n/a n/a 90% 94% 91%

80 PLUS Certification Levels

Use Efficient Power Supplies

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42 | Lawrence Berkeley National Laboratory eere.energy.gov

Power supply savings add up…

Annual Savings:Standard vs. High Eff Power Supply

$-

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

$7,000

$8,000

200 300 400 500

Watts per server

An

nu

al S

av

ing

s p

er

Ra

ck

Mechanical

UPS

Power supply

Use Efficient Power Supplies

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43 | Lawrence Berkeley National Laboratory eere.energy.gov

IT System Efficiency

Summary…

Enable power management capabilities!

Use EnergyStar® Servers

Storage Devices

Servers

Take superfluous data offline

Use thin provisioning technology

De-duplicate

Reconsider Redundancy

Use 80 PLUS or Climate Savers products

Power Supplies

ConsolidationUse virtualization

Consider cloud services

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Environmental Conditions

Magnus Herrlin, Principal, ANCIS Incorporated

[email protected]

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46 | Lawrence Berkeley National Laboratory eere.energy.gov

• IT Load (up to 50,000+W per rack)

• Outdoor climate

• Air management (enables savings)

• Environmental conditions

(room temperature and humidity).

Main HVAC Energy Drivers

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47 | Lawrence Berkeley National Laboratory eere.energy.gov

Air IntakeTemperature

Air-cooled electronic

equipment depends

exclusively on the intake

air temperature for

effective cooling.

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48 | Lawrence Berkeley National Laboratory eere.energy.gov

Max Allowable

Rack Intake

Temperature

Max Recommended

Over-Temp

Recommended

Range

Under-Temp

Min Recommended

Min Allowable

Allowable

Range

Key Nomenclature

The recommended range is a statement of reliability. For extended periods of time, the IT manufacturers recommend that data centers maintain their environment within these boundaries.

The allowable range is a statement of functionality. These are the boundaries where IT manufacturers test their equipment to verify that the equipment will function.

Higher risk for

catastrophic failures;

higher IT fan energy

Higher risk for lower

reliability and longevity

Higher HVAC energy

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49 | Lawrence Berkeley National Laboratory eere.energy.gov

Energy vs. IT-Reliability

• The purpose of the allowable and recommended ranges is to give guidance

to data center operators on maintaining high reliability but yet operate their

data centers in an energy efficient manner.

• Ultimately, energy vs. IT-reliability in data centers is an optimization problem.

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50 | Lawrence Berkeley National Laboratory eere.energy.gov50

NEBS (telecom)

NEBS is the de-facto standard for

telecom equipment and facilities

Facility

Operation

Equipment

Design

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51 | Lawrence Berkeley National Laboratory eere.energy.gov51

Default recommended

range = 64.4 - 80.6F

Provides guidance for

operating above the default

upper limit

Default allowable range =

59.0 – 89.6F (Class A1)

Six classes with allowable

ranges up to 113.0F

ASHRAE Thermal Guidelines

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52 | Lawrence Berkeley National Laboratory eere.energy.gov

ASHRAE “Envelopes”

Dry Bulb Temperature

(C)

32 (F) 50 68 86 104 122 140

Allowable Envelopes A1-A4

18C 27C

15C

32C

40C

5C

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53 | Lawrence Berkeley National Laboratory eere.energy.gov

1. Data center temperature tracks with the outdoor temperature

2. A minimum of 15C – 20C can be maintained (heat from equipment)

3. A maximum below the maximum of the environmental class (mechanical cooling).

20C – 7 x 24 x 365 operation

< 1.0 > 1.0

ASHRAE Failure Rates(not incl. Delta-T, RH, particles)

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54 | Lawrence Berkeley National Laboratory eere.energy.gov

“For the majority of U.S. and European cities, the air-

side and water-side economizer projections show failure

rates that are very comparable to a traditional data

center run at a steady state temperature of 20ºC (68ºF).”

ASHRAE

ASHRAE Failure Rates(not incl. Delta-T, RH, particles)

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55 | Lawrence Berkeley National Laboratory eere.energy.gov

Liquid

Cooling

Class

Main

Cooling

Equipment

Supplemental

Cooling

Equipment

Facility

Supply-Water

Max Temperature

W1Chiller/

Cooling Tower

Water-Side

Economizer

17C

(63F)

W3 Cooling Tower Chiller32C

(90F)

W4Water-Side

EconomizerN/A

45C

(113F)

ASHRAE Liquid-CooledIT-Equipment Classes

These Maximum Temperatures are requirements to be met by the liquid-cooled IT equipment.

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56 | Lawrence Berkeley National Laboratory eere.energy.gov

• ASHRAE and NEBS provide guidance on temperature and humidity. Legacy gear may require more benign conditions

• For each update, ASHRAE provides more flexibility and more aggressive guidance and is now closing in on NEBS

• Many IT manufacturers design for harsher conditions than ASHRAE “default” Class A1. There is already A3 and A4 rated equipment

• Economizer projections show failure rates that are very comparable to traditional data centers with a constant temperature of 68ºF

• A cold data center = efficiency opportunity! However, address inadequate air management before increasing the temperature

• Energy vs. IT-reliability in data centers is an optimization problem.

Summary

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Airflow Management

Brian Donathan, Teladata

[email protected]

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Air Management: The Early Days at LBNL

Fans were used to redirect air

High flow tiles reduced air pressure

It was cold but hot spots were everywhere

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Typically, more air circulated than required

Air mixing and short circuiting leads to: Low supply temperature

Low Delta T

Use hot and cold aisles Improve isolation of hot

and cold aisles Reduce fan energy

Improve air-conditioning efficiency

Increase cooling capacity

Hot aisle / cold aisle configuration decreases mixing of intake & exhaust air, promoting efficiency.

Air Management

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Benefits of Hot- and Cold-aisles

Improves equipment intake air conditions by

separating cold from hot airflow.

Preparation:Arranging racks

with alternating hot and cold aisles.

Supply cold air to front of facing servers.

Hot exhaust air exits into rear aisles.

Graphics courtesy of DLB Associates

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Separating Cold from Hot Airflow…

• Supply cold air as close to rack inlet as possible.

• Reduce mixing with ambient air and hot rack exhaust

• Flow air from the cold front aisle to the rear hot aisle

Equip.

Rack

No Air

Mixing

No Air

Mixing

Cold Front

Aisle

Hot Rear

Aisle

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Reduce Bypass and Recirculation

Bypass Air / Short-Circuiting… Recirculation…

Wastes cooling capacity. Increases inlet temperature to servers.

Leakage

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Bypass Air

Equip.

Rack

By-Pass

Air

By-Pass

Air

Some common causes:• Too much supply airflow

• Misplaced perforated tiles

• Leaky cable penetrations

• Too high tile exit velocity

Inlet Outlet

Inlet Outlet

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Recirculation Air

Equip.

Rack

Recirculation

Air

Some common causes:• Too little supply airflow

• Lack of blanking panels

• Gaps between racks

• Short equipment rows

Inlet Outlet

Inlet Outlet

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Maintain Raised-Floor Seals

Maintain sealing of all potential leaks in the

raised floor plenum.

Unsealed cable penetration Sealed cable penetration

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Manage Blanking Panels

Any opening will degrade the separation of hot and cold air

maintain server blanking and side panels.

Equip.

Rack

Air Recirculation

Inlet Outlet

Inlet Outlet

top of rack

middle of rack

SynapSense™

SynapSense™

One 12” blanking panel addedTemperature dropped ~20°

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Congested Floor & Ceiling Cavities

Empty Floor & Ceiling Cavities

Consider The Impact That Congestion Has On The Airflow Patterns

Reduce Airflow Restrictions & Congestion

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Reduce Cable Congestion

• Cable congestion sharply reduces airflow and

degrades airflow distribution.

• No cable trays should be placed below perforated tiles.

Generally, it is obvious when there is too much “stuff.”

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Resolve Airflow Balancing

BALANCING is required to optimize airflow.

Rebalance with new IT or HVAC equipment

Locate perforated floor tiles only in cold aisles

Under-floor pressure map with wireless sensors

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Results: Tune Floor Tiles

• Too many permeable floor tiles

• if airflow is optimized

– under-floor pressure up

– rack-top temperatures down

– data center capacity increases

• Measurement and visualization

assisted tuning process

under-floor pressures

rack-top temperatures

SynapSense™

SynapSense™

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Optimally Locate CRAC/CRAHs

Air-Handling Units

Locate CRAC/CRAH units at ends of Hot Aisles

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Elevation at a cold aisle looking at racks

Typical Temperature Profile with Under-floor Supply

Too hot Too hot

Just right

Too cold

There are numerous references in ASHRAE. See for example V. Sorell et al; “Comparison of Overhead and

Underfloor Air Delivery Systems in a Data Center Environment Using CFD Modeling”; ASHRAE Symposium Paper

DE-05-11-5; 2005

Hot air comes around top and sides of servers

Cold air escapes through ends of aisles

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Next step: Air Distribution Return-Air Plenum

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Return Air Plenum

• Overhead

plenum

converted to

hot-air return

• Return

registers

placed over

hot aisle

• CRAC intakes

extended to

overhead

Before

After

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Return-Air Plenum Connections

Return air duct on top of CRAC unit connects to the return air plenum.

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Isolate Hot Return

Duct on top of each rack connects to the return air plenum.

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Cabinet/row containment

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Other Isolation Options

Physical barriers enhance separate hot and cold airflow.

Barriers placement must comply with fire codes.

Curtains, doors, or lids have been used successfully.

Open Semi-enclosed Enclosed

cold aisle cold aisle

Doors Lid

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Adding Air Curtains for Hot/Cold Isolation

CoolShield or Trax SealTech

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Isolate Cold and Hot Aisles

95-105ºF vs. 60-70ºF (35-41C vs. 16-21C)

70-80ºF vs. 45-55ºF (21-27C vs. 7-13C)

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Cold Aisle Airflow Containment Example

LBNL Cold Aisle Containment study achieved fan energy savings of ~ 75%

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Fan Energy Savings

Isolation can significantly reduce air bypass and hence flow

Fan speed can be reduced and fan power is proportional to the cube of the flow.

Fan energy savings of 70-80% is possible with variable air volume (VAV) fans in CRAH/CRAC units (or central AHUs)

Without Enclosure With Enclosure Without Enclosure

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LBNL Air Management Demonstration

Cold Aisle NW - PGE12813

40

45

50

55

60

65

70

75

80

85

90

6/13/2006 12:00 6/14/2006 0:00 6/14/2006 12:00 6/15/2006 0:00 6/15/2006 12:00 6/16/2006 0:00 6/16/2006 12:00

Time

Te

mp

era

ture

(d

eg

F)

Low

Med

High

Baseline Alternate 1

Setup

Setup

Alternate 2

ASHRAE

Recommended Range

Ranges during

demonstration

Better airflow management permits warmer supply temperatures!

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Hot and Cold Aisle Containment

Subzero Cold Aisle Containment

APC Hot Aisle Containment

(with in-row cooling)

Ceilume Heat Shrink Tiles

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Isolating Hot and Cold AislesSummary

• Energy intensive IT equipment needs good isolation of

“cold” inlet and “hot” discharge.

• Supply airflow can be reduced if no bypass occurs.

• Overall temperature can be raised if air is delivered

without mixing.

• Cooling systems and economizers use less energy with

warmer return air temperatures.

• Cooling capacity increases with warmer air

temperatures.

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Efficient Alternatives to Under-floor Air Distribution

Localized air cooling systems with hot and cold isolation can supplement or replace under-floor systems (raised floor not required!)

Examples include:

Row-based cooling units

Rack-mounted heat exchangers

Both options “Pre-engineer” hot and cold isolation

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Example – Local Row-Based Cooling Units

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In-row cooling system

End cap

Hot aisle lid

© APC reprinted with permission

Rack

In row fan-coil

With hot aisle containment, the general data center is neutral (75-80F)

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Air Distribution – Rack-Mounted Heat Exchangers

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Review:Airflow Management Basics

Air management techniques:

– Seal air leaks in floor (e.g. cable penetrations)

– Prevent recirculation with blanking panels in racks

– Manage floor tiles (e.g. no perforated tiles in hot aisle)

– Improve isolation of hot and cold air (e.g. return air plenum, curtains, or complete isolation)

Impact of good isolation:

– Supply airflow reduced

• Fan savings up to 75%+

– Overall temperature can be raised

• Cooling systems efficiency improves

• Greater opportunity for economizer (“free” cooling)

– Cooling capacity increases

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Cooling systems

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Air Management and Cooling Efficiency

Improved efficiencies

Increased cooling capacity

More hours for air-side and water-side free cooling

Lower humidification/dehumidification energy

Reduced fan energy

Linking good air management and an optimized

cooling system:

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HVAC Systems Overview

Adapted from ASHRAE

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• CRAC units

– Fan, direct expansion (DX) coil, and

refrigerant compressor.

• CRAH units

– Fan and chilled water coil

– Typically in larger facilities with a chiller plant

• Both often equipped with humidifiers and reheat for dehumidification

• Often independently controlled

– Tight ranges and poor calibration lead to fighting

Computer Room Air Conditioners (CRACs) and Air Handlers (CRAHs)

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Water

Air-Cooled DX

Evaporatively-Cooled DX

Water-Cooled DX

Dry-Cooler DX

DX (or AC) units reject heat outside…

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Water

Air-Cooled Chiller

Evap-Cooled Chiller

Water-Cooled Chiller

Cooling Tower

98

Computer Room Air Handling (CRAH) units using Chilled-Water

CRAH

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• Have a plant (vs. distributed cooling)

• Use “warm” water cooling (multi-loop)

• Size cooling towers for “free” cooling

• Integrate controls and monitor efficiency of all primary components

• Thermal storage

• Utilize variable speed drives on:

– Fans

– Pumps

– Towers

– Chillers

Optimize the Chiller Plant

Primary CHW

Pump10%

Secondary CHW Pump

4%

CW Pump13%

Cooling Tower 5%

Chiller

68%

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Select Efficient Chillers

ChillerCompressor kW / ton

25% 50% 75% 100%

400 Ton Air Cooled 0.69 0.77 0.96 1.25

1200 Ton Water Cooled w/o VFD 0.51 0.41 0.45 0.55

1200 Ton Water Cooled with a VFD 0.34 0.30 0.43 0.57

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Increase Temperature of Chiller Plant

Tons

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

200 300 400 500 600 700 800 900 1000

Eff

icie

ncy (

kW

/to

n)

1,000 Ton Chiller operating at 60 F CHWS

Temp and 70 F CWS Temp

1,000 Ton Chiller operating at 42 F

CHWS Temp and 70 F CWS Temp

Data provided by York International Corporation.

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Moving (Back) to Liquid Cooling

~ 190,000 cubic foot blimp

=

Water

Air

Volumetric heat capacity comparison

[1.5 m3]

[5380 m3]

As heat densities rise, liquid solutions become more attractive:

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Why Liquid Cooling?

• Heat removal efficiency increases as liquid gets closer to the heat source

• Liquids can provide cooling with higher temperature coolant– Improved cooling efficiency

– Increased economizer hours

– Greater potential use of waste heat

• Reduced transport energy:

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In-Row Liquid Cooling

Graphics courtesy of Rittal

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In Rack Liquid Cooling

Racks with integral coils and full containment

CoolingCoil

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106

Rear Door Heat Exchanger

• Passive technology: relies on server fans for airflow

• Can use chilled or higher temperature water for cooling

Photo courtesy of Vette

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Rear Door (open)

Rear-Door Liquid Cooling

Inside rack RDHx, open 90°

Liquid Cooling Connections

Rear Doors (closed)

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Direct touch cooling

Conducting heat to a cold plate containing refrigerant

Clustered Systems design

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Standoff

Gap filler

CPU or other

high dissipation

device

VRM

Chips &

Inductors

Server LidDRAM

Main

Board

Simple heat

conductor

Thermal

interface

material

Gap Filler

Heat conductor Compliant Pad

on server lid

Schematic

• Server fans are removed

• Heat risers connect to top plate which has a micro channel heat exchanger

109

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On Board Cooling

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Maui High Performance Computing Center

• Increased air intake temperature

• Turned off 3 CRAHs

• Saved almost $300,000 annually

Then:• Installed dry coolers for water cooled system

• Will save additional $200,000 annually

• 6 times more compute

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IBM Riptide

Maui HPC Center Warm Water Cooling

• 91% water cooled, 9% air cooled

Water inside

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• Cooling water temperature as high as 44° C

Dry Coolers, 10kW each

compared to 100kW Chillers

Water Piping Behind the servers

MHPCC Water Cooling, continued

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Server

CondenserVapor

Boiling

Liquid

Tank

Pump Dry TowerFacility

Wall

Ambient as

high as 55°C

Facility Water

Cooling Power = Pump + FanIT Power

Liquid immersion cooling demonstration

• chillers

• cooling towers

• water use

• raised floors

• computer room air conditioners

• earplugs!

No longer requires:

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Computer in glass tank

3M Corp.

4 server system

Phase change of dielectric fluid removes heat efficiently

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“Chill-off 2” Evaluation of Liquid Cooling Solutions

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Use Free Cooling:

Cooling without Compressors:

• Outside-Air Economizers

• Water-side Economizers

Let’s get rid of chillers in data centers

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Outside-Air Economizers

Advantages• Lower energy use

• Added reliability (backup for

cooling system)

Potential Issues• Space.

• Dust

– Not a concern with Merv 13

filters

• Gaseous contaminants

– Not widespread

– Impacts normally cooled data

centers as well

• Shutdown or bypass if smoke

is outside data center.

http://cooling.thegreengrid.org/namerica/WEB_APP/calc_index.html

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Green Grid Tool

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UC’s Computational Research

and Theory (CRT) Facility

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Free Cooling – Outside Air Based

Annual Psychrometric Chart of Oakland, CA(relative humidity lines are stepped by 10%,

wetbulb lines by 10 degrees F)

0

0.001

0.002

0.003

0.004

0.005

0.006

0.007

0.008

0.009

0.01

0.011

0.012

0.013

0.014

0.015

0.016

0.017

0.018

0.019

0.02

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120

Drybulb Temp (F)

W (

lb/l

b)

WB = 30

WB = 40

WB = 50

WB = 60

WB = 70

1. Blue = recommended supply

2. Green can become blue mixing

return and outdoor air

3. Most of the conditions below

and right of blue can be

satisfied w/ evaporative cooling

4. Hot and humid hours will enter

the “allowable” range or require

compressor air conditioning

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• Air-Side Economizer (93% of hours)

• Direct Evaporative Cooling for Humidification/ pre-cooling

• Low Pressure-Drop Design (1.5” total static peak)

Hours of Operation

Mode 1 100% Economiser 2207 hrs

Mode 2 OA + RA 5957 hrs

Mode 3 Humidification 45 hrs

Mode 4 Humid + CH cooling 38 hrs

Mode 5 CH only 513 hrs

total 8760 hrs

System Design Approach:

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• Tower side economizer

• Four pipe system

• Waste heat reuse

• Headers, valves and caps for

modularity and flexibility

Water Cooling:

Predicted CRT Performance:

• Annual PUE = 1.1

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Advantages

• Cost effective in cool and

dry climates

• Often easier retrofit

• Added reliability (backup in

the event of chiller failure).

• No contamination questions

Water-Side Economizers

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Make sure that the

heat exchanger is in

series (not parallel

with chillers on CHW

side)

You can use either a

control valve or pump

44F60F

Twb 41F

46F

49F

44F

44F

<60F

Integrated Water-Side Economizer

[7C]

[7C]

[16C]

[9C]

[7C] [16C]

[8C]

[5C]

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Oakla

nd

Oakla

nd

Oakla

nd

Oakla

nd

Oakla

nd

Sacra

mento

Sacra

mento

Sacra

mento

Sacra

mento

Sacra

mento

Los

Angele

s

Los

Angele

s

Los

Angele

s

Los

Angele

s

Los

Angele

s

0

1000

2000

3000

4000

5000

6000

7000

8000

45 55 60 65 104

Fre

e C

ooling P

ote

nti

al (H

ours

per

Year)

Chilled Water Design Temperature (Degrees F)

Free Cooling Opportunity

Water-Side Economizer

Rear-Door Cooling

On-Board Cooling

Potential for Tower Cooling

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LBNL Example: Rear Door Cooling

• Used instead of

adding CRAC units

• Rear door water

cooling with tower-

only (or central

chiller plant in

series).

– Both options

significantly more

efficient than existing

direct expansion (DX)

CRAC units.

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• Eliminate inadvertent dehumidification

– Computer load is sensible only

• Use ASHRAE allowable humidity ranges

– Maintain inlet conditions between 41.9° F dew-point and 59° F

dew-point and 60% RH or manufacturer’s requirements (many

manufacturers allow even wider humidity range).

– Use dew-point control, NOT %RH.

• Defeat equipment fighting

– Coordinate controls

• Disconnect and only control humidity of makeup air or one

CRAC/CRAH unit

• Entirely disconnect (many have!)

Improve Humidity Control:

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– Some contaminants (hydroscopic salts) with high humidity can deposit and bridge across circuits

– Operating with high humidity (>60%) in an environment with high concentrations of particulates could be a problem.

• Normal building filtration is effective in removing particulates

– Operating with high humidity (>60%) in areas with gaseous contamination could cause problems. More study is needed in this area, however few locations have such conditions.

High Humidity Limit Issues

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– Industry practices

• Telecom has no lower limit (personnel grounding expected)

• Electrostatic Discharge Association removed humidity control as a primary ESD control measure in ESD/ANSI S20.20

• IT equipment is qualified to withstand ESD and it is grounded

• Many centers eliminate humidification with no adverse effects

– Recommended procedures

• Personnel grounding

• Cable and floor grounding

Electrostatic discharge

Low Humidity Limit Issues

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Typical Server Specification

Class 1 & 2

Recommended Range

Server Performance Specifications Generally Exceed

ASHRAE Ranges

Chart courtesy of ASHRAE

Not to worry…

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Temp RH Tdp Temp RH Tdp Mode

AC 005 84.0 27.5 47.0 76 32.0 44.1 Cooling

AC 006 81.8 28.5 46.1 55 51.0 37.2 Cooling & Dehumidification

AC 007 72.8 38.5 46.1 70 47.0 48.9 Cooling

AC 008 80.0 31.5 47.2 74 43.0 50.2 Cooling & Humidification

AC 010 77.5 32.8 46.1 68 45.0 45.9 Cooling

AC 011 78.9 31.4 46.1 70 43.0 46.6 Cooling & Humidification

Min 72.8 27.5 46.1 55.0 32.0 37.2

Max 84.0 38.5 47.2 76.0 51.0 50.2

Avg 79.2 31.7 46.4 68.8 43.5 45.5

Visalia Probe CRAC Unit Panel

Cost of Unnecessary Humidity Control

Humidity down ~2%

CRAC power down 28%

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Cooling Takeaways…

• Use efficient equipment and a central plant (e.g. chiller/CRAHs) vs. CRAC units

• Use centralized controls on CRAC/CRAH units– Prevent simultaneous humidifying and dehumidifying

– Optimize sequencing and staging

• Move to liquid cooling (room, row, rack, chip)

• Consider VSDs on fans, pumps, chillers, and towers

• Use air- or water-side economizers where possible.

• Expand humidity range and improve humidity control (or disconnect).

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Electrical Systems

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Electrical system end use –Orange bars

Courtesy of Michael Patterson, Intel Corporation

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Electrical Distribution

• Every power conversion (AC-DC, DC-AC, AC-AC)

loses some energy and creates heat

• Efficiency decreases when systems are lightly loaded

• Distributing higher voltage is more efficient and can

save capital cost (conductor size is smaller)

• Power supply, uninterruptible power supply (UPS),

transformer, and PDU efficiency varies – carefully

select

• Lowering distribution losses also lowers cooling loads

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Electrical Systems –Points of Energy Inefficiency

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UPS, Transformer, & PDU Efficiency

Factory Measurements of UPS Efficiency

70%

75%

80%

85%

90%

95%

100%

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

Percent of Rated Active Power Load

Eff

icie

ncy

Flywheel UPS

Double-Conversion UPS

Delta-Conversion UPS

(tested using linear loads)

• Efficiencies vary

with system design,

equipment, and

load

• Redundancies

impact efficiency

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Redundant Operation

Measured UPS efficiency

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LBNL/EPRI Measured Power

Supply Efficiency

Typical operation

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An Electric Power Research Institute case study

illustrated the savings

The 80 Plus program drives

efficiency improvement

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Dynamic power software turns off redundant power supplies when not needed

Upgraded power supplies

HPRack1 Blade Enclosure 1 Dynamic Power and 80-Plus PSU Test

4

4.5

5

5.5

6

6.5

7

2/21/11 0:00 2/26/11 0:00 3/3/11 0:00 3/8/11 0:00 3/13/11 0:00 3/18/11 0:00 3/23/11 0:00 3/28/11 0:00 4/2/11 0:00 Date/Time

kW

BLENC01 Original PSU BLENC01 80-Plus PSU

Dynamic Power Enabled

DynamicPower Disabled

DynamicPower Disabled

Enabled Dynamic Power

6% Savings due to 80 plus

25% Savings with Dynamic Software

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Redundancy

• Understand what redundancy costs and what it gets you – is it worth it?

• Does everything need the same level?

• Different strategies have different energy penalties (e.g. 2N vs. N+1)

• It’s possible to more fully load UPS systems and achieve desired redundancy

• Redundancy in electrical distribution puts you down the efficiency curve

• Redundancy in the network vs. data center

Redundancy

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Inverter

In Out

Bypass

Battery/ChargerRectifier

Inverter

In Out

Bypass

Battery/ChargerRectifier

Internal Drive

External Drive

I/O

Memory Controller

m Processor

SDRAM

Graphics Controller

DC/DCAC/DC

DC/DC

AC/DC Multi output

Power Supply

Voltage Regulator Modules

5V

12V

3.3V

12V 1.5/2.5V

1.1V-1.85V

3.3V

3.3V

12V

PWM/PFCSwitcher

Unregulated DCTo Multi Output Regulated DC

Voltages

Internal Drive

External Drive

I/O

Memory Controller

m Processor

SDRAM

Graphics Controller

DC/DCAC/DC

DC/DC

AC/DC Multi output

Power Supply

Voltage Regulator Modules

5V

12V

3.3V

12V 1.5/2.5V

1.1V-1.85V

3.3V

3.3V

12V

PWM/PFCSwitcher

Unregulated DCTo Multi Output Regulated DC

Voltages

From Utility Power to the Chip –

Multiple Electrical Power Conversions

Power Distribution Unit (PDU)

ServerUninterruptible Power Supply (UPS)

AC DC AC DC

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AC/

DC

480 VAC

Bulk

Power

SupplyDC UPS

or

Rectifier

DC/

DCVRM

VRM

VRM

VRM

VRM

VRM

12 V

Loads

using

Legacy

Voltages

Loads

using

Silicon

Voltages

12 V

5 V

3.3 V

1.2 V

1.8 V

0.8 VServer

PSU

380 VDC

• Eliminate several conversions• Also use for lighting, and variable speed drives• Use with on-site generation including renewable energy sources

380V. DC power distribution

Back up -batteries or flywheel

Emerging Technology:

DC Distribution

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Standby generators typically use more energy than they will ever generate

Other options:

•Right-sizing of stand-by generation

•Consider redundancy options

Several load sourcesHeatersBattery chargersTransfer switchesFuel management systems

Reduce or eliminate heating, batteries, and chargers – check with manufacturer for temperature and control

Standby generation loss

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Standby generator heater

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Data center lighting

• Lights are on and nobody’s home– Switch off lights in unused/unoccupied areas or rooms

(UPS, Battery, S/Gear, etc)

– Lighting controls such as occupancy sensors are well proven

• Small relative benefit but easy to accomplish –

also saves HVAC energy

• Use energy efficient lighting

• Lights should be located over the aisles

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Motors and Drives

• Since most cooling system equipment operates continuously, premium efficiency motors should be specified everywhere

• Variable speed drives should be used – Chillers

– Pumps

– Air handler fans

– Cooling tower fans

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Key Electrical Takeaways

• Choose highly efficient components and configurations

• Reduce power conversion (AC-DC, DC-AC, AC-AC, DC-

DC)

• Consider the minimum redundancy required as

efficiency decreases when systems are lightly loaded

• Use higher voltage

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DCIM and Integrated Controls(Using IT to Manage IT)

A Panel Discussion

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DCIM Panel

Bruce Myatt, Critical Facilities Roundtable (Moderator)

Dale Sartor, LBNL

Craig Compiano, Modius

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Use IT to Manage IT Energy

• Most operators lack “visibility” into their data center environment.

• An operator can’t manage what they don’t measure.

• Goals:

– Provide the same level of monitoring and visualization of the

physical space that exists for monitoring the IT environment.

– Measure and track performance metrics.

– Spot problems before they result in high energy cost or down

time.

Using IT to Save Energy in IT:

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The Importance of Visualization

• IT Systems & network administrators have tools for visualization.

• Useful for debugging, benchmarking, capacity planning, forensics.

• Data center facility managers have had comparatively poor visualization tools.

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LBNL installed 800+ point

sensor network.

Measures:

• Temperature

• Humidity

• Pressure (under floor)

• Electrical power

Presents real-time

feedback and historic

tracking

Optimize based on

empirical data, not intuition.

LBNL Wireless Sensor Installation

Image: SynapSense

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Real-time Temperature Visualization by Level

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Displayed Under-floor Pressure Map…

CRAC CRAC CRAC CRAC CRAC

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Removed guesswork by

monitoring and using

visualization tool.

Provided Real-time Feedback During Floor-tile Tuning

Under-Floor Pressure

Rack-Top Temperatures

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• Enhanced knowledge of

data center redundancy.

• Turned off unnecessary

CRAC units to save

energy.

Determined Relative CRAC Cooling Energy Impact

Under-Floor Pressure

Rack-Top Temperatures

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Feedback Continues to Help:Note impact of IT cart!

Real-time feedback identified

cold aisle air flow obstruction!

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Real-time PUE Display

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PUE Calculation Diagram

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Franchise Tax Board (FTB) Case Study

Description:

• 10,000 Sq Ft

• 12 CRAH cooling units

• 135 kW load

Challenges:

• Over-provisioned

• History of fighting

• Manual shutoff not successful

Solution:

• Intelligent supervisory control software with inlet air sensing

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FTB Wireless Sensor Network

• WSN included 50 wireless temperature

sensors (Dust Networks radios)

• Intelligent control software

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WSN Smart Software: learns about curtains

CRAH 3 influence at start CRAH 3 influence after curtains

CRAH-03

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WSN Provided Effect on Cold-aisle Temperatures:

50

55

60

65

70

75

80

85

90

A B C D E F

Time Interval

deg

F

flo

or

tile

ch

an

ge

s

VF

Ds

co

ntr

ol so

ftw

are

ho

t a

isle

iso

latio

n

rack b

lan

ks

lower limit of ASHRAE recommended range

upper limit of ASHRAE recommended range

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WSN Software = Dramatic Energy Reduction…

0

10

20

30

40

50

60

1/31 2/5 2/10 2/15

date/time

Main

bre

aker,

kW

BEFORE

AFTER

DASH™ software started

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Cost-Benefit Analysis:

• DASH cost-benefit (sensors and software)• Cost: $56,824• Savings: $30,564• Payback: 1.9 years

• Total project cost-benefit• Cost: $134,057• Savings: $42,772• Payback: 3.1 years

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An Emerging Technology…

Control data center air conditioning using the

built-in IT server-equipment temperature sensors

• Typically, data center cooling uses return air temperature as the primary control-variable

• ASHRAE and IT manufacturers agree IT equipment inlet air temperature is the key parameter

• Optimum control difficult

• IT equipment has multiple sensors used to protect itself by adjusting internal fans, clock speeds, etc.

• One such sensor is typically located at the air inlet to the IT equipment - monitoring intake conditions

• Information from these sensors is available on the IT network

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Intel Demonstration

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Intel Demonstration

• Demonstration showed:

– Servers can provide temperature data to facilities

control system

– Given server inlet temperature, facility controls

improved temperature control and efficiency

– Effective communications and control accomplished

without significant interruption or reconfiguration of

systems

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Dashboards

Dashboards can display multiple systems’ information for

monitoring and maintaining data center performance

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Why Dashboards?

• Provide IT and HVAC system performance at a glance

• Identify operational problems

• Baseline energy use and benchmark performance

• View effects of changes

• Share information and

inform integrated

decisions

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Another Dashboard Example…

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Dashboard Examples

Aggregates Data Across Facilities

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Use IT to Manage IT: Summary

• Evaluate monitoring systems to enhance

operations and controls

• Install dashboards to manage and sustain

energy efficiency.

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Resources

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Federal Energy Management Program

• Workshops

• Federal case studies

• Federal policy guidance

• Information exchange & outreach

• Qualified specialists

• Technical assistance

EPA

• Metrics

• Server performancerating & ENERGY STAR label

• Data center benchmarking

DOE Better Buildings

• Tool suite & metrics for baselining

• Training

• Qualified specialists

• Showcase Case studies

• Recognition of high energy savers

Industry

• Tools

• Metrics

• Training

• Best practice information

• Best-in-Class guidelines

• IT work productivity standard

GSA

• Workshops

• Quick Start Efficiency Guide

• Technical Assistance

Resources

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Resources from DOE Federal Energy Management Program (FEMP)

Best Practices Guide

Benchmarking Guide

Data Center Programming Guide

Technology Case Study Bulletins

Procurement Specifications

Report Templates

Process Manuals

Quick-Start Guide

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DOE’s FEMP data center program provides tools and resources to help owners and operators:

• DC Pro Software and Assessment Tool Suite– Tools to define baseline energy use and identify energy-saving

opportunities

• Information products– Manuals, case studies, and other resources

• End-user awareness training

• Data Center Energy Practitioner (DCEP) certificate program – Qualification of professionals to evaluate energy efficiency opportunities

DOE Federal Energy Management Program (FEMP)

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High-Level On-Line Profiling and Tracking Tool

• Overall efficiency (Power Usage Effectiveness [PUE])

• End-use breakout

• Potential areas for energy efficiency improvement

• Overall energy use reduction potential

IT-Equipment

• Servers

• Storage & networking

• Software

Electrical Systems

• UPS

• PDU

• Transformers

• Lighting

• Standby gen.

Cooling

• Air handlers/ conditioners

• Chillers, pumps, fans

• Free cooling

Air Management

• Hot/cold separation

• Environmental conditions

• RCI and RTI

In-Depth Assessment Tools Savings

DOE DC Pro Tool Suite

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U.S. DOE certificate process for energy practitioners

qualified to assess energy consumption and energy

efficiency opportunities in Data Centers.

Key objective:

• Raise the standard of energy assessors

• Greater repeatability/credibility of recommendations.

Target groups include:

• Data Center personnel (in-house experts)

• Consulting professionals (for-fee consultants).

Data Center Energy

Practitioner (DCEP) Program

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Training & Certificate Disciplines, Levels, and Tracks

Cooling

Systems

Air

ManagementElectrical

Systems

IT

Equipment

HVAC

(available)

Level 2 “Specialist” (2-day):

Pre-qualifications,

Training/Exam on Select

Disciplines

+ Assessment Process

+ System Assessment Tool

Level 1 “Generalist” (1-day):

Pre-qualifications,

Training/Exam on All

Disciplines

+ Assessment Process

+ DC Pro Profiling Tool

IT-Equipment, Air-Management, Cooling Systems,

and Electrical Systems

(TBD)

Data Center Energy Practitioner

(DCEP) Program

(TBD)

There is also a “Training Track”: Training only (no pre-qualifications and no exam)

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DCEP training is delivered by two training organizations that were selected through a competitive process. The DCEP Program Manager is also providing training.

The training organizations:

• license training and exam content from U.S. DOE

• provide training/exams

• issue certificates.

Access up-to-date program information and complete training schedule at U.S. DOE Center of Expertise for Energy Efficiency in Data Centers:

http://datacenters.lbl.gov/dcep

DCEP Training Organizations

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Energy Star

A voluntary public-private

partnership program

• Buildings

• Products

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Energy Star Data Center Activities

•ENERGY STAR Datacenter Rating Tool

– Build on existing ENERGY STAR platform with similar

methodology (1-100 scale)

– Usable for both stand-alone and data centers housed

within another buildings

– Assess performance at building level to explain how a

building performs, not why it performs a certain way

– ENERGY STAR label to data centers with a rating of 75+

– Rating based on data center infrastructure efficiency

• Ideal metric would be measure of useful

work/energy use.

• Industry still discussing how to define useful work.

•Energy STAR specification for servers, UPSs, storage, and

networking equipment

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http://www1.eere.energy.gov/femp/program/data_center.html

http://datacenters.lbl.gov/

http://www.energystar.gov/index.cfm?c=prod_development.

server_efficiency

https://www4.eere.energy.gov/challenge/partners/data-centers

Resources

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Workshop SummaryBest Practices

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1. Measure and Benchmark Energy Use

2. Identify IT Opportunities

3. Manage Airflow

4. Optimize Environmental Conditions

5. Evaluate Cooling Options

6. Improve Electrical Efficiency

7. Use IT to Control IT

8. Implement Energy Efficiency Measures

Data Center Best Practices Summary

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1. Measure and Benchmark Energy Use

Use metrics to measure efficiency

Benchmark performance

Establish continual improvement goals

Data Center Best Practices

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2. Identify IT Opportunities

Specify efficient servers

(incl. power supplies)

Virtualize

Refresh IT equipment

Turn off unused equipment.

Data Center Best Practices

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4. Manage Airflow Implement hot and cold aisles

Fix leaks

Manage floor tiles

Isolate hot and cold airstreams.

Data Center Best Practices

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5. Optimize Environmental Conditions

Follow ASHRAE guidelines or manufacturer

specifications

Operate to maximum ASHRAE recommended

range.

Anticipate servers will occasionally operate in

allowable range.

Minimize or eliminate humidity control

Data Center Best Practices

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6. Evaluate Cooling Options

Use centralized cooling system

Maximize central cooling plant efficiency

Provide liquid-based heat removal

Compressorless cooling

Data Center Best Practices

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7. Improve Electrical Efficiency

Select efficient UPS systems and

topography

Examine redundancy levels

Increase voltage distribution and reduce

conversions

Data Center Best Practices

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3. Use IT to Control IT Energy

Evaluate monitoring systems to enhance

real-time management and efficiency.

Use visualization tools (e.g. thermal

maps).

Install dashboards to manage and

sustain energy efficiency.

Data Center Best Practices

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Most importantly…

Get IT and Facilities People

Talking and working

together as a team!!!

Data Center Best Practices

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Dale Sartor, P.E.Lawrence Berkeley National LaboratoryApplications TeamMS 90-3111University of CaliforniaBerkeley, CA 94720

[email protected](510) 486-5988http://Ateam.LBL.gov

Contact Information: