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Optimizing I T
May 2007
The green data center.
More than social responsibility: a foundation for growth,
economic gain and operating stability
The green data center.
Page 2
Contents
2 Introduction
4 Challenges facing CIOs
7 Transitioning to a green
data center
10 Whose job is it?
10 Reducing cooling requirements
11 Increasing facilities
system efficiency
13 Reducing power consumption
with innovative technologies
17 Do you have a game plan?
18 Conclusion
Introduction
The green data center.
Page 3
Highlights
While creating a green data center
can be a complex undertaking, there
are many solutions and techniques
available to support the transition.
The green data center.
Page 4
Highlights
High-density rack-mounted servers
can increase hot spots and tax cool-
ing systems, making it difficult for
aging data centers to keep up with
today’s demands.
Challenges facing CIOs
The green data center.
Page 5
Highlights
Cooling and electrical costs rep-
resent up to 44 percent of a data
center’s total cost of ownership,
although some companies are
finding that they can’t buy extra
electricity at any price.
The green data center.
Page 6
Highlights
Energy costs are rising, supply is
limited, the data center infrastruc-
ture is being taxed, and its ability to
meet business demands is at stake.
The green data center.
Page 7
Highlights
Transitioning to a green data center
Thermal load management
Data center energy efficiency opportunities
Integration maximizes power savings
Product design and workload/energymanagementComponent
power efficiency
Rack design
Power management Power and workload
management
Cap
Virtualization
Measure Adjust
to workload
Liquid heat
removal
Airflow
management
Variable cooling
delivery
Rack/room layout
Facilities system
improvements
Data center Network
Optimize the delivery of power and cooling to the data center (reduce waste)
Reduce systems power losses through utilization of more efficient equipment
Integrate cooling delivery with equipment demand
The technologies and strategies
for improving data center energy
efficiency span the data center
ecosystem.
The green data center.
Page 8
Highlights
A best practices assessment and
energy audit make it possible to
pinpoint areas of high energy use,
while establishing a baseline for
further planning.
The green data center.
Page 9
Highlights
Opportunities to improve energy
efficiency can range from major
infrastructure upgrade projects
to a number of simple and
inexpensive measures.
The green data center.
Page 10
Highlights
Facilities and IT departments need
to collaborate—sometimes with the
addition of outside help—in finding
ways to meet environmental and
energy challenges.
Whose job is it?
Reducing cooling requirements
The green data center.
Page 11
Highlights
Increasing facilities system efficiency
Organizing data centers into
thermal zones can eliminate
hot spots that challenge cooling
systems and enhance system
reliability by helping to avoid
heat-related hardware failures.
The green data center.
Page 12
Highlights
New chiller systems, thermal
storage systems and air delivery
systems can help reduce both
energy requirements and costs.
The green data center.
Page 13
Highlights
Reducing power consumption with innovative technologies
With IT equipment becoming more
energy efficient and greener all the
time, replacing older IT equipment
with newer models can reduce over-
all power and cooling requirements.
The green data center.
Page 14
Highlights
Virtualization
A server that’s only 15 percent
utilized may cost as much to run
as a server that’s fully utilized,
making virtualization an energy
efficient and cost-effective option.
The green data center.
Page 15
Highlights
Just as server virtualization reduces
the number of servers needed,
storage virtualization reduces
the number of spindles required.
The green data center.
Page 16
Highlights
Power management in IT systems
New power management technology
makes it possible to meter actual
power usage and cap the amount
of power used by a single server or
group of servers.
Going green at IBM
Like many companies, IBM has found that
supporting environment-friendly initiatives
can be a smart business move. A significant
area of focus is reducing a company’s carbon
footprint, or the amount of carbon dioxide
(CO2) emissions a company is directly or
indirectly responsible for producing. Power
consumption is considered an indirect
contributor to a company’s carbon footprint
because power companies produce CO2
emissions in the generation of electricity.
“While some assume that cutting CO2 emis-
sions costs businesses money, we have
found just the opposite,” said Wayne Balta,
vice president, Corporate Environmental
Affairs and Product Safety. “Energy effi-
ciency solutions have saved IBM an annual
average of US$15.8 million and achieved an
enviable 4.9 percent annual average energy
savings rate against its annual energy usage
since 1998. In CO2 emission avoidance,
that’s equal to removing 51,600 cars, each
traveling 10,000 miles annually.”
Eco-friendly disposal
Do you have a game plan?
The green data center.
Page 17
The green data center.
Page 18
HighlightsConclusion
For more information
ibm.com/cio
CIOs’ ongoing efforts to think green
will help keep their companies oper-
ating in the black.
© Copyright IBM Corporation 2007
IBM Global Services
Route 100
Somers, NY 10589
U.S.A.
Produced in the United States of America
05-07
All Rights Reserved
IBM and the IBM logo are trademarks or registered
trademarks of International Business Machines
Corporation in the United States, other countries,
or both.
Other company, product, or service names
may be trademarks or service marks of others.
References in this publication to IBM products
or services do not imply that IBM intends to
make them available in all countries in which
IBM operates.
1 Kenneth G. Brill, “Data Center Energy Efficiency
and Productivity,” The Uptime Institute. 2007.
2 Jonathan G. Koomey Ph.D. Staff Scientist,
Lawrence Berkeley National Laboratory and Con-
sulting Professor, Stanford University, “Estimating
total power consumption by servers in the U.S.
and the world,” February 15, 2007.
3 Alex Barrett, “For PG&E customers, it pays to
virtualize,” SearchServerVirtualization.com, Octo-
ber 26, 2006. http://searchservervirtualization.
techtarget.com/originalContent/0,289142,sid94_
gci1226458,00.html.
GTW01270-USEN-00
Systems and Technology Group Lab Services
Data Center Services Offering
Data Center Thermal Analysis and OptimizationOptimize data center thermal profile to eliminate hot spots and reduce
energy consumption.
Offering Highlights
p" Analyzes existing or future
data center thermal
capacity, installed IT
equipment load, and data
center features using state-
of-the-art tools including
Computational Fluid
Dynamics (CFD) modeling
software.
p" Optimizes existing or future
IT equipment layout.
p" Evaluation completed by
expert IBM Thermal
Engineers.
p" Attractively priced offering
Increasing Stress on Infrastructure
In the previous 5 years the
performance of servers and storage
has increased exponentially. Along
with this performance growth has
come a significant increase in the
power dissipated by the server
and storage hardware. This has
caused a significant strain on the
data center infrastructure that was
built for hardware power levels much
less than what is being delivered
today. Placement of IT equipment, air
handlers, and other related equipment
is critical to efficient use of available
space. Lead time for facility upgrades
and capital planning requirements
mandate comprehensive planning.
Realizing the Vision
A key step to effective deployment
of IT equipment is an evaluation of
the current and future thermal profile
of the data center. IBM thermal
analysis services enable clients
to provide the best ventilation and
cooling for their IT hardware by
making the necessary infrastructure
modifications or layout changes.
Offering Description and Value
This offering can be divided into
two phases depending on client
needs. Phase 1 will focus on today’s
existing data center with analysis
and recommendations intended for
the existing situation. Phase 2 will
focus on the future data center with its
expected IT equipment. The analysis
between the two phases is similar,
while the inputs and results for each
phase could be rather different.
The Project
This rapid engagement to evaluate
current and future data centers is
typically scheduled to complete
in an elapsed time frame of 4
weeks. This may include up to
5 days of on-site collaboration
between IBM and the client.
Typical Project Tasks
1. Project scope/resources/schedule
agreed upon
2. On-site evaluation and consultation
3. Analyze and optimize with CFD
models
4. Final meeting with evaluation report
and recommendations for data center
layout
For More Information
To find out more about IBM Data Center
Thermal Analysis and Optimization
and other related products and
services, contact IBM Data Center
Services at [email protected] .
© Copyright IBM Corporation 2007
IBM Corporation
Route 100
Somers, NY 10589
U.S.A.
Produced in the United States of America
1-07
All Rights Reserved
References in this publication to IBM products or
services do not imply that IBM intends to make them
available in every country in which IBM operates.
Consult your local IBM business contact for
information on the products, features, and services
available in your area.
IBM and the IBM logo are trademarks of
International Business Machines Corporation in the
United States, other countries or both.
Other company, product or service names may be
trademarks or service marks of others.
All statements regarding IBM future direction or
intent are subject to change or withdrawal without
notice and represent goals and objectives only.
The IBM home page on the Internet can be found at
ibm.com
Systems and Technology Group Lab Services
IBM IT Systems Energy Efficiency Assessment
Reducing the environmental demand of IT
Offering Highlights
The “IBM IT Systems Energy
Efficiency Assessment” is a
rapid assessment that:
p Investigates and analyzes a
client’s IT power, cooling
and space utilization
p Can develop a solution that
reduces power, cooling, and
data center space required
by IT
p Considers capacities or
constraints of client’s
facilities
p Outlines strategy to help
achieve client’s goals
p Typically completes in 2-3
weeks
p Leverages IBM’s STG
Lab — experts in the
optimization of systems
power, thermal, and space.
p" Is attractively priced
Achieve More with Less Power
Many data centers have hit or are
approaching their maximum power
limits, and are expansion constrained.
By utilizing proven IT Optimization
methods, this assessment will
provide steps that can dramatically
improve the ability of a datacenter to
deliver workload and performance,
while using less power, cooling
resources and data center space.
This improvement in IT efficiency
can help clients grow within their
existing datacenter constraints.
This assessment and strategy is
very attractive when compared
with other expensive and long
lead time options for relocating
or building a new data center.
The assessment is performed by teams
of IBM professionals with deep skills
in IT optimization methods combined
with professionals with deep skills
in IT and facilities power, cooling
resources, and data center space.
Offering Description and Value
The assessment analyzes existing
IT systems and provides guidance
and strategies to achieve required
IT workload and performance with
less power, cooling resources, and
data center space requirements.
This often allows the client to grow
within the power constraints of
existing datacenter, and avoid or
delay the expense of datacenter
expansion or relocation.
The reduction in power, cooling
resources, and data center space
required to achieve computational
workloads provides for reduced
energy operating expenses.
Some utilities provide attractive
incentives for projects that
reduce power consumption.
The Project
This assessment rapidly
analyzes clients IT systems and
facilities parameters, and then
formulates strategy to reduce
power consumed by IT.
Typical Project Tasks
1. Agree upon scope / resources / on
site-site schedule
2. Baseline collection of IT Systems
information / survey estimations
3. Outline possible technical solutions
4. Develop recommendations
5. Deliver assessment report
Project Prerequisites
This assessment requires client
IT Executive and client Facilities
Executive sponsorships.
For More Information
To find out more about the IBM
IT Systems Energy Efficiency
Assessment and other related
products and services , contact IBM
Data Center Services at datacntr@
us.ibm.com.
© Copyright IBM Corporation 2007
IBM Corporation
Route 100
Somers, NY 10589
U.S.A.
Produced in the United States of America
8-07
All Rights Reserved
References in this publication to IBM products or
services do not imply that IBM intends to make them
available in every country in which IBM operates.
Consult your local IBM business contact for
information on the products, features, and services
available in your area.
IBM and the IBM logo are trademarks of
International Business Machines Corporation in the
United States, other countries or both.
Other company, product or service names may be
trademarks or service marks of others.
All statements regarding IBM future direction or
intent are subject to change or withdrawal without
notice and represent goals and objectives only.
The IBM home page on the Internet can be found at
ibm.com
Systems and Technology Group Lab Services
Data Center Services Offering
Server and Storage Power/Cooling Trends and
Data Center Best Practices
Building your IT investment knowing infrastructure best practices were employed
Offering Highlights
p" Review power/cooling
trends of the current IBM
product line; provide future
power/cooling trends (under
non-disclosure agreement)
and show how they impact
the data center
p" Provide state-of-the-art
data center designs
p" Provide potential
ventilation schemes used in
cooling high density racks
p" Provide comparison of the
various data center liquid
cooled enhancements
p" Review data center power,
thermal, and I/O best
practices
p" Completed in a single day
seminar and discussion
Increasing Stress on Infrastructure
In the last 5 years the performance of
servers and storage has increased
exponentially. Along with this
performance growth has come a
significant increase in the power
dissipated by the server and storage
hardware. This has caused a
significant strain on the infrastructure
of data centers that were built for
hardware power levels much less than
what are being shipped today. The
much higher rack power levels have
caused customers to spread out their
server products in order to cool them in
the current facilities, using up valuable
and expensive raised floor space.
Offering Description and Value
This offering helps our clients
understand the current and future
power, cooling and I/O demands that
IT equipment will place on their existing
or planned data center infrastructure.
IBM Lab Services Data Center
Services Best Practices education
provides a clear and concise roadmap
of power, cooling, and I/O trends for
our Server/Storage product line and its
design impacts on the data center, as
well as allowing the client to develop
a robust growth plan for IBM’s next
generation Server/Storage hardware.
The overall approach involves
working with the client to understand
the impacts of Server/Storage
power, thermal, and I/O trends on
their current data centers, as well
as those planned for the future. The
consultant will provide the client with
the knowledge to architect a unique
and balanced plan to successfully
optimize IT resources and help reach
business goals with less risk, reduced
Total Cost of Ownership, greater
efficiency, and keeping the power
levels of the IT equipment within the
power constraints of the data center.
The Project
This client/consultant engagement
is completed at the client’s site as a
single day seminar and discussion.
The consultant will educate the client
as to the power and cooling trends of
the IBM product line and then show
how the data center best practices
can help to handle current and
future situations in the data center.
Typical Project Tasks
1. Provide current IBM product power/
cooling trends across all brands
2. Provide power/cooling trends for
future IBM products (requires non-
disclosure agreement)
3. Show ventilation schemes for cooling
clusters of high power racks and
provide TCO of these schemes
4. Provide comparison studies on liquid
spot cooling solutions
For More Information
To find out more about IBM Server
and Storage Power/Cooling Trends &
Data Center Best Practices education
and other related products and
services, contact IBM Data Center
Services at [email protected].
© Copyright IBM Corporation 2007
IBM Corporation
Route 100
Somers, NY 10589
U.S.A.
Produced in the United States of America
1-07
All Rights Reserved
References in this publication to IBM products or
services do not imply that IBM intends to make them
available in every country in which IBM operates.
Consult your local IBM business contact for
information on the products, features, and services
available in your area.
IBM and the IBM logo are trademarks of
International Business Machines Corporation in the
United States, other countries or both.
Other company, product or service names may be
trademarks or service marks of others.
All statements regarding IBM future direction or
intent are subject to change or withdrawal without
notice and represent goals and objectives only.
The IBM home page on the Internet can be found at
ibm.com
Identifying opportunities for optimizing airflow
IBM IT Facilities Assessment, Design and
Construction Services – optimized airflow
assessment for cabling
Highlights
p Offers guidance for increasing
data center availability
p Proposes a cabling design that
can help improve data center
airflow for optimized cooling
p Recommends steps to facilitate
operational efficiency through
simplified change management
p Suggests changes that may
lower the operating cost of
managing a data center
Understanding the impact of increased
cabling in data centers
Data center infrastructures have
reached a tipping point. Many major
changes have occurred over the past
five years that impact data center
operations. For one, high-density
servers contain more computing
capacity per square foot than ever
before. While individual servers use
less space than traditional servers,
the increased number of servers per
square foot actually increases the
demand for data center connectivity.
As a result, the higher density of serv-
ers creates denser cabling networks.
As important as cabling is, however,
the expansion of the data center’s
cabling infrastructure in many cases
can be an ad hoc activity. This can
lead to unknown cable routing; undoc-
umented cabling; airflow blockages;
unpredictable results from moves,
additions and changes; and unknown
risks with every underfloor activity.
An unstructured cabling infrastructure
can result in several issues for business
processes and IT systems, including:
2
IBM IT Facilities Assessment, Design
and Construction Services – optimized
airflow assessment for cabling provides
a comprehensive evaluation to help
you measure your current cabling infra-
structure, identify where your cabling
infrastructure issues are and determine
which improvements to implement.
The optimized airflow assessment for
cabling service includes the following
physical inspections:
Increasing the availability of your
data center
The IT department spends consider-
able time and effort supporting data
center availability. But availability comes
from more than the data center hard-
ware. Backup hardware and mirroring
concepts may not pay off if the cabling—
often hidden under the raised floor—is
not designed with the same quality as
the rest of the IT environment. An inade-
quately designed cabling environment, for
example, may not provide the redundancy
you need to support prompt problem
determination and error recovery.
IBM IT Facilities Assessment, Design
and Construction Services – optimized
airflow assessment for cabling provides
a comprehensive, fact-based analysis
that prioritizes tactical plans across your
data center to improve system avail-
ability through optimizing the underfloor
airflow. Underfloor cabling systems are
often blocked with dense tangles of
cables. These blockages prevent cool-
ing systems from doing their jobs. When
the system overheats, it can go down.
Optimizing your cabling infrastructure
airflow can protect the system from over-
heating, which can result in improved
system availability and a better service
level from your data center.
Offering recommendations to optimize
data center airflow for improved cooling
Many IT managers are unaware of the
jumble of cables hiding in their under-
floor plenum. With unstructured cabling
systems, each jumper cable connects
one machine port directly to another to
form a link. With the huge number and
diversity of fiberoptic cables in today’s
data centers, an underfloor cabling
system can soon get out of control and
lead to inefficiencies. Cabling blockages
can cause inefficient airflow and can
ultimately lead to wasteful cooling and
increased energy demands.
Another cause of hotspots within data
centers is bypass airflow. Unsealed
cable openings and open rack spaces
can allow hot air within the data center
to access the cabinets, leading to addi-
tional cooling and energy requirements.
During the optimized airflow assess-
ment for cabling engagement, IBM
informs you of the latest technology avail-
able for a structured cabling system
as well as the potential benefits. Not only
can an efficient cabling system lead to
3
increased data center availability, it can
lower cooling and energy requirements
as well. With the optimized airflow assess-
ment for cabling service, IBM helps you
get the facts to understand your current
cabling setup and what the ideal cabling
solution is for your environment.
The optimized airflow assessment for
cabling service offers advice about:
Planning for upgrades and changes
After IBM assesses your current cabling
infrastructure and explains the potential
benefits that a structured cabling system
can provide, we can help you determine
what you can do to make changes and
upgrades to your data center easier and
more affordable.
You may be able to achieve signifi-
cant benefits by adopting a structured
cabling system—principally through
the reduction in the number of fiber-
optic cables under your raised floor.
In a typical underfloor environment,
the fiberoptic trunk cables connect
the machine ports to the back of patch
panels that are located in a series of
cabinets or racks that make up the
CPL. The fronts of the patch panels
contain individual ports that, in a struc-
tured cabling environment, are directly
connected to the machine ports. In a
structured environment, connections
between two machine ports can be
made more quickly and easily by run-
ning a short jumper cable to connect the
two patch panel ports, decreasing the
number of cables in the plenum. Fewer
cables can simplify documenting the
location of cables. And better docu-
mentation can make it easier to trace
a fiberoptic link when you are problem
solving or planning for future growth.
And in a structured cabling system,
unlike a discrete jumper cable solution,
none of the change activity happens
near the active equipment. Future equip-
ment additions and changes can be
made in the same manner and should
not be affected by the amount of equip-
ment already installed. During the life
of your data center, you’re likely to add
and upgrade storage devices, switches,
directors and even servers. The opti-
mized airflow assessment for cabling
service can help you understand how
a structured fiberoptic cabling system
can enable you to plan and implement
these critical changes faster and with
reduced risk.
Recommending modifications to lower
data center operating costs
IBM Facilities Assessment, Design
and Construction – optimized airflow
assessment for cabling provides a
comprehensive evaluation of the physi-
cal infrastructure that supports your IT
equipment to identify potential energy
cost savings. The assessment can help
you understand the potential financial
payback that may accompany efficiency
improvements. It can provide you with
a framework to make future data center
cabling infrastructure decisions. And,
ultimately, this assessment may help
you redirect existing cooling to addi-
tional IT equipment.
Recommendations to improve cabling
efficiency are tailored to your facility
and may include recommendations for
upgrades or replacements of inefficient
cabling infrastructure or the addition
of new technologies. In IBM’s experi-
ence, cooling systems typically present
the greatest opportunity for efficiency
improvements, followed by electrical
and building systems. Your assessment
report will also give you a comprehensive
checklist of information gathered during
the assessment as well as recommenda-
tions and conclusions so you can make
improvements to your cabling system.
Why IBM?
IBM is a leading global provider of
data center design, construction, relo-
cation and optimization services. We
have built more than 30 million square
feet of raised-floor data centers
for clients worldwide. We currently
manage more than 100 IBM data
centers of six million square feet.
Our structured methodology, intel-
lectual capital and global reach
position us to deliver superior, com-
prehensive data center solutions.
IBM has a strong ecosystem of data
center technology alliances, includ-
ing strategic relationships with major
power, cooling and cabling equip-
ment vendors that give us exceptional
insight into industry trends and the
data center’s changing energy needs.
And unlike other data center solu-
tions providers, IBM manufactures a
full suite of storage and server prod-
ucts and has developed a structured
enterprise fiber cabling solution using
fiberoptic components known as the
IBM fiber transport system. All these
factors give us a deep understanding
of the infrastructure support needs of
your IT equipment.
Beyond the optimized airflow assess-
ment for cabling service, IBM also
offers services to implement data
center efficiency improvements.
We can help ensure that your data
centers and facilities support your
business needs — and that they are
capable of scaling to support busi-
ness growth. IBM services can cover
virtually all aspects of establishing and
running data centers, from assess-
ment and strategy to construction and
management—virtually anywhere in
the world.
For more information
To learn more about IBM IT Facilities
Assessment, Design and Construction
Services – optimized airflow assess-
ment for cabling, contact your IBM
representative or visit:
ibm.com/services
© Copyright IBM Corporation 2007
IBM Global Services
Route 100
Somers, N.Y. 10589
U.S.A.
Produced in the United States of America
05-07
All Rights Reserved
IBM and the IBM logo are trademarks or registered
trademarks of International Business Machines
Corporation in the United States, other countries,
or both.
Other company, product and service names may
be trademarks or service marks of others.
References in this publication to IBM products or
services do not imply that IBM intends to make them
available in all countries in which IBM operates.
GTD01332-USEN-00
IBM Data Center Services
Building or upgrading your data center,
while helping to minimize cost, risk and delay
When you need to expand your data center beyond its current
walls, renovate its infrastructure or build a completely new data
center on a new site, IBM Data Center Services can help—with
everything from preliminary consulting to a total turnkey solution.
IBM’s 50 years of experience in data-center construction can
provide just the solution you need—whether big or small. You
can have IBM analyze your existing data center and project its
growth—based on your business plan, computing environments
and IBM’s unique understanding of future computing technologies.
You can get a complete recommendation with all drawings and
specifications. The entire project can be turned over to IBM, using
our experienced project managers and contractors, IBM Data
Center Services can build your data center in a cost effective and
timely manner with our qualified and experienced data center
professionals.
The power of experience
If yours is like most organizations, you won’t be facing another
major data center construction project for a long time—if ever
again—so it has to be built right. Take advantage of the exper-
tise and experience of IBM Site Planning Services personnel to
handle both facilities and computing concerns. Because they
specialize in the fit-up, renovation, moving and expansion of
data-processing environments like yours, these professionals
can provide their services economically, with low risk and minor
impact to your ongoing operations. Working with IBM means
that you have a single point of contact for both facilities and
computer expertise.
The power of relationships
IBM offers a wide range of services at every level through its
nationwide organization and network of qualified subcontrac-
tors — a network that includes architects, engineers, contractors
and suppliers. With proven expertise in data-center construction
and operations, IBM Data Center Services can handle practi-
cally any job in a timely, cost-effective manner. You get access to
IBM technical assistance for planning and management, along
with qualified, locally-based contractors and trades people. For
example, if you need more air-conditioning capacity, you can be
confident that you are going to get the right unit, installed cor-
rectly by people who have experience handling the job.
The value of IBM
IBM’s expertise and commitment to excellence helps you feel
confident that your data center can meet all technological and
environmental requirements for today and tomorrow. IBM guar-
antees the work of its contractors against defects in materials
and workmanship for a full year. As a result, bringing IBM into
your data-center construction project means that you can focus
on your real business—providing effective business solutions
to the users of your computing system.
The result: world-class quality in a data center built to last and designed for growth.
IBM Data Center Services: planning, design and construction
IBM can plan, design, build and test your data center, as well as
train your staff on how to maintain the new environment.
Planning
IBM builds a five-year growth model for your system based on
your company’s business plan, your current and future data-pro-
cessing needs and likely technological evolution. Based on this
model, IBM provides a full evaluation report that includes electri-
cal, mechanical and space requirements, along with equipment
layout drawings, cost estimates and a proposed construction
schedule. The optimal predesign solution described in this report
gives you step-by-step directions for proceeding.
Design
The evaluation report provided by IBM is so thorough that it can
be used to generate a design for a data center. And that’s exactly
what IBM does—helping to ensure that all report topics, such
as power, cooling, fire protection and other relevant topics, are
addressed and resolved in the final design. Also, IBM can work
with your architect, if you have one, to help ensure that unique
data-center requirements, such as underfloor airflow for ventila-
tion, are met.
Construction
IBM can act as your project manager through all phases of con-
struction. You get a turnkey solution no matter how complex the
job—and it’s guaranteed. Planning and design are available as
separate packages, or you can use IBM for the entire project.
Beyond the data center
Along with IBM Data Center Services, IBM can provide IBM and
non-IBM equipment maintenance; data-center relocation ser-
vices; application, data and hardware migration support; systems
integration; network implementation, analysis and management;
business-recovery services and more. IBM can help you manage
virtually any aspect of your information-systems environment you
choose. All so you can better manage what matters most—your
competitive edge.
You get a turnkey solution no matter how complex the job—and it’s guaranteed.
For more information
To learn more about IBM Data Center Services, or any other IBM
services, visit:
ibm.com/services/datacenter
IBM Data Center Services at a glance
Planning services
• Computer hardware planning
− Verify and assess existing facility (including hardware
configuration, personnel workflow and adjacency requirements)
− Provide electrical and mechanical load analysis
− Develop hardware layout plans
• Architecture and space planning
− Identify needs
− Recommend guidelines for design
− Develop workflow and adjacency diagrams
− Develop planning report (including modeling of growth
expectations, establishing general cost estimates and
preliminary schedules, and technically evaluating physical
needs)
− Develop contract options
• Mechanical engineering
− Evaluate existing systems capacity and condition
− Recommend upgrade equipment, sizing and location
(including air conditioning, cleansing and distribution, water
chillers, and heat rejection)
− Recommend fire detection and suppression equipment
− Recommend uninterruptible power supply and battery
equipment
• Electrical engineering
− Evaluate existing electrical components
− Recommend upgraded equipment, sizing and location
− Evaluate power distribution units (PDUs)
− Evaluate lighting and other areas for data center and
support rooms
− Address safety, grounding and noise attenuation issues
− Evaluate existing uninterruptible power supply systems and
recommend any necessary upgrades
Consulting services
• Design consulting
− Review data-center plans developed by other vendors
− Recommend design objectives, parameters and guidelines
− Review designs to help ensure compliance with requirements
− Review progress submissions for working drawings
− Make recommendations to help ensure design compliance
• Bidding
− Evaluate and select bidders
− Prepare and issue competitive bidding documents
− Receive and analyze competitive proposals
− Arrange bidding meetings
• Construction consulting (available only with design consulting
services)
− Attend project progress meetings
− Review to help ensure construction meets specifications
− Perform on-site visits for progress and compliance
− Recommend actions to resolve discrepancies
− Review contractor’s monthly invoicing and final payment
− Help ensure compliance with all contractual obligations
− Regularly report on project status
Bringing IBM into your data-center construction project means that you can
focus on your real business—providing effective business solutions to the
users of your computing system.
Site selection services
• Land evaluation
− Provide a comprehensive study of sites, including character-
istics and utilities
− Evaluate and rank multiple sites based on location, environ-
mental limitations, available utilities and aesthetics
• Land analysis
− Provide an in-depth study of site conditions (surface and
subsurface), characteristics, and suitability
• Building evaluation
− Analyze existing building for suitability
Turnkey services
• Design
− Select and direct the design team
− Integrate architectural and engineering features, such as site
usage, design concepts, and plans and specifications
− Establish final characteristics of facility
• Construction (available only with turnkey services design)
− Handle general-contractor responsibilities, including
providing a single point of contact, awarding construction
and labor contracts, and purchasing materials and environ-
mental equipment
− Provide overall project management, including reviewing
and approving submissions by subcontractors; securing
all guarantees, instructions, certificates of inspection, record
drawings and so on; conducting post-construction inspec-
tion and testing, and final inspection; and familiarizing
you with the new facility
© IBM Corporation 2006
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U.S.A.
Produced in the United States of America
09-06
All Rights Reserved
IBM and the IBM logo are trademarks of International
Business Machines Corporation in the United States,
other countries or both.
Other company, product and service names may be
trademarks or service marks of others.
ABSTRACT
In this paper, The Green Grid™ provides a framework
for improving the energy eficiency of both new and
existing datacenters. The nature of datacenter energy
consumption is reviewed and best practices are
suggested that can signiicantly impact operational
eficiencies.
ABOUT THE GREEN GRID™
The Green Grid is a non-proit trade organization of IT
professionals formed to address the issues of power
and cooling in datacenters. The Green Grid seeks
to deine best practices for optimizing the eficient
consumption of power at the IT equipment and facility
levels, as well as the manner in which cooling is
delivered at these levels. The association is funded by
four levels of membership, and activities are driven by
end-user needs. The Green Grid does not endorse any
vendor-speciic products or solutions, but will seek
to provide industry-wide recommendations on best
practices, metrics, and technologies that will improve
overall datacenter energy eficiencies.
white paper 1
INTRODUCTION
Power availability is one of the most important
challenges facing datacenters today. In the past,
datacenter loor space has always loomed as the
primary issue. Now, more and more datacenters
run out of power availability before they run out of
loor space. In addition, cooling requirements for
dense servers are driving power demand and taxing
the normal datacenter operational procedures.
Operations are not properly “tuned” to accommodate
the new energy-hungry environment. This paper
illustrates existing electrical consumption patterns
and suggests various strategies for reducing
consumption. Energy improvements can be made
from both an equipment-planning perspective and
an operational-practices perspective for both IT and
physical infrastructure (power, cooling, rack, security,
ire suppression, and monitoring) devices.
ENERGY COSTS AND CONSUMPTION
For years, electrical power usage was not considered
a key design criteria for datacenters. Nor was
electrical consumption effectively managed as an
expense. In fact, many datacenter managers are
unaware of what their monthly energy bill is. This
is true despite the fact that the electrical energy
costs over the life of a datacenter may exceed the
costs of the electrical power system including the
uninterruptible power supplies (UPS), or even exceed
the cost of the IT equipment itself.
The reasons for this situation are as follows:
• Electrical bills are sent out long after charges
are incurred. No clear link exists between
particular decisions, like the installation of a
new zone of equipment in the data center or
operational practices and the increased cost of
the electricity. In fact, electrical bills are viewed
as an inevitable event that most people don’t
consider trying to inluence.
• Tools for modeling the electrical costs of
datacenters are not widely available and are
not commonly used during datacenter design.
• Billed electrical costs are often not within
the responsibility or budget of the datacenter
operating group.
• The electrical bill for the datacenter may be
included within a larger electrical bill and may
not be available separately.
• Decision-makers are not given suficient
information during planning and purchasing
decisions regarding the energy cost
consequences.
If the datacenter were 100% eficient, all power
supplied would reach the IT loads. This would
represent Power Usage Effectiveness (PUE) of 1.0.
PUE is further discussed in the Green Grid white
paper entitled “Green Grid Metrics.” In the real world,
electrical energy is consumed by devices in a number
white paper 2
of ways before it even reaches the IT loads. Practical
requirements such as keeping IT equipment properly
housed, powered, cooled, and protected is one
example of how energy consumption is sidetracked,
or rendered less eficient (see Figure 1).
Note that all energy consumed by the datacenter in
Figure 1 ends up as waste heat, which is rejected
outdoors into the atmosphere. This diagram is based
on a typical datacenter with 2N power and N+1
cooling equipment, operating at approximately 30%
of rated capacity.1
System design issues that commonly reduce the
eficiency of datacenters include:
• Power distribution units and/or transformers
operating well below their full load capacities.
• Air conditioners forced to consume extra power
to drive air at high pressures over long distances.
• Cooling pumps which have their low rate
automatically adjusted by valves (which
dramatically reduces the pump eficiency).
• N+1 or 2N redundant designs, which result
in underutilization of components.
• The tradition of oversizing a UPS to avoid
operating near its capacity limit.
• The decreased eficiency of UPS equipment
when run at low loads.
• Under-loor blockages that contribute to
ineficiency by forcing cooling devices to
work harder to accommodate existing load
heat removal requirements. (This can lead
to temperature differences and high-heat
load areas might receive inadequate cooling).
BEST PRACTICES
Right-sizing the physical infrastructure system to the
load, using eficient physical infrastructure devices,
and designing an energy-eficient system are all
techniques to help reduce energy costs. A successful
strategy for addressing the datacenter energy
management challenge requires a multi-pronged
approach that should be enforced throughout the
lifecycle of the datacenter. The following categories
of practices serve as cornerstones for implementing
an energy-eficient strategy: engineering, deployment,
operations, and organization.
white paper 3
Chiller
Humidifier
CRAC
IT Equipment Indoor
Data
Center
Heat
Electrical
Power
IN
Waste
Heat
OUT
PDU
UPS
Switchgear/generator
Lighting
33%
3%
9%
30%
5%
18%
1%
1%
Figure 1: Where Does It Go?
SYSTEM DESIGN
In datacenters, system design has a much greater
effect on the electrical consumption than does
the eficiency of individual devices. In fact, two
datacenters comprised of the same devices may have
considerably different electrical bills. For this reason,
system design is even more important than the
selection of power and cooling devices in determining
the eficiency of a datacenter.
FLOOR LAYOUT
Floor layout has a signiicant effect on the eficiency
of the air conditioning system. Ideal arrangements
involve hot-aisle/cold-aisle conigurations with
suitable air conditioner locations. The primary design
goal of this loor layout approach is cool air and warm
air segregation.
PROPER CONFIGURATION OF SERVER SOFTWARE
When coniguring servers, many datacenter managers
are not careful about how they conigure the power-
related software. Power-economizer modes should
always be selected to ensure more eficient operation
of the server.
LOCATION OF VENTED FLOOR TILES
In an average datacenter, many vented tiles are
either placed in incorrect locations or an insuficient
or excessive number of vented tiles is installed. By
using Computational Fluid Dynamics (CFD) in the
datacenter environment, the designer can optimize
datacenter cool air low by “tuning” loor tiles by
varying locations and by regulating the percent of
vents that are open at any given time or can optimize
CRAC (Computer Room Air Conditioning) unit
locations. Some vendors offer cooling optimization
services and have demonstrated over 25% energy
savings in real-world applications.2
RIGHTSIZED PHYSICAL INFRASTRUCTURE
COMPONENTS
Of all of the techniques available to users, rightsizing
the physical infrastructure system to the load has
the most impact on physical infrastructure electrical
consumption. There are ixed losses in the power
and cooling systems that are present whether
the IT load is present or not, and these losses
are proportional to the overall power rating of the
system. In installations that have light IT loads, the
ixed losses of the physical infrastructure equipment
commonly exceeds the IT load. Whenever the physical
system is oversized, the ixed losses become a larger
percentage of the total electrical bill.
Rightsizing has the potential to eliminate up to 50%
of the electrical bill in real-world installations. The
compelling economic advantage of rightsizing is a key
reason why the industry is moving toward modular,
scalable, physical infrastructure solutions. The very
nature of the modular, scalable infrastructure implies
that new physical infrastructure equipment is added
only when additional IT loads are added.
The ability to predict future power and cooling
loads is also key in managing an energy-eficient
datacenter. The American Society of Heating,
Refrigeration & Air Conditioning Engineers (ASHRAE)
offers a series of design guides that provide help in
this task. The additional work performed up front to
accurately predict the datacenter power and cooling
load will pay for itself in both reduced capital and
operational expense.
ENGINEERING FOR EFFICIENCY
white paper 4
INSTALLATION OF MORE EFFICIENT
POWER EQUIPMENT
New best-in-class UPS systems have 70% less energy
loss than legacy UPS at typical loads.3 Average
“light” load eficiency is the key parameter, not the
full load eficiency. In addition UPS losses must be
cooled, doubling system energy costs.
CLOSELY COUPLED COOLING
Due to increasing density in the datacenter, a
trend towards closely coupled cooling solutions has
developed. Close-coupling targets speciic areas
where cooling is needed (such as an individual row,
rack, or server) as opposed to a large open space
(such as the datacenter room). In addition, close-
coupling can result in shorter air paths that require
less fan power. Close-coupled heat removal minimizes
and almost eliminates the mixing of cool and hot air,
since the airlow is completely contained in the row
or rack.
Traditional datacenters that move to high-density
server implementations without close-coupled cooling
typically attempt to modify existing infrastructure
through additional construction. Those modiications
for high density rarely improve the eficiency of the
datacenter. However, new datacenter designs, where
the focus is on matching the room airlow to server
airlow and on preventing the mixing of cool and warm
air, can be quite eficient.4
Most of today’s existing datacenters attempt to cool
equipment by looding the air supply with as much
cool air as possible. The cool air produced by CRAC
units mixes with the heat produced by the load.
This system makes it dificult, if not impossible, to
target speciic heat sources within the datacenter.
The closely coupled approach greatly increases the
eficiency of the cool air distribution and hot air
removal systems. Due to the close coupling of CRAC
units to the load, all of the capacity can be delivered
to the load up to power densities on the order of
25 kW, or approximately 4X the practical density
capacity of room-oriented architecture.5
VIRTUALIZATION
Virtualization consolidates existing and expected
future workloads. This reduces the number of physical
servers required, thereby reducing loor space,
cooling, and capital costs. It also increases the
utilization of servers to improve energy eficiency.
Furthermore, virtualization can also serve as an
effective means for placing additional compute
capability into production.
INSTALLATION OF ENERGY-EFFICIENT LIGHTING
Other facility savings can be realized through
devices such as timers or motion-activated lighting.
Lighting power produces heat which, in turn, must
be cooled—doubling the cost. The beneit of energy-
eficient lighting is larger on low-density or partly
illed datacenters.
DEPLOYING FOR EFFICIENCY
white paper 5
INSTALLATION OF BLANKING PANELS IN RACKS
Airlow dynamics can be improved by utilizing
blanking panels on racks. The panels are an
inexpensive way to decrease server inlet temperature
while increasing the CRAC return air temperature—
thereby reducing energy consumption.
PLUMBING FOR CLOSELY COUPLED COOLING
Deployment of rack and server (chip-level) cooling
systems in closely coupled cooling solutions requires
delivery of facility water (chiller or condenser
water) to the racks in question. A variety of options
are available for delivering the water to these
racks, including hard plumbing and soft or lexible
plumbing. Delivery of water away from the periphery
of the datacenter into the heart of the datacenter
may be cause for concern for some datacenter
operators. These concerns can be allayed by
deploying sound engineering practices. The following
best practices are suggested when preparing a
datacenter for the deployment of closely coupled
cooling solutions:
• Insulate plumbing to prevent condensation (if
water has to be below the facility’s dew point).
• Ensure piping is easily accessible for service
and repairs, and to minimize disruption to
existing datacenter infrastructure (power,
communications, HVAC, etc.).
• Include stub-outs with shut-offs from periphery
plumbing at necessary intervals to allow isolation
of each rack row and each rack.
• Run plumbing in a direction parallel to that of the
CRAC air low to minimize air-low blockage, or
place plumbing in loor recesses (where possible)
to prevent air-low blockage (i.e., air damming).
• Provide leak-containment features around water
line components, such as drip pans, pipe wraps,
and gravity drains.
• Utilize home-run lexible piping to minimize the
number of pipe joints (and thus, the risk of leaks)
near critical components.
• Isolate plumbing from electrical wiring (place
plumbing in loor recesses, where possible, below
the elevation of power cables and components).
• Employ leak-detection systems and reaction
plans to minimize or eliminate impact of leaks
on datacenter operations.
DEVELOPMENT OF NEW SERVER
REPLACEMENT POLICIES
Server consolidation, if properly executed, can
also contribute to the overall high eficiency of the
datacenter. Below are examples of how to leverage
eficiency during server consolidation:
• Use a two-way server or a single-processor dual-
core server to replace two or more old servers.
• Replace an old server with a blade based on a
low-voltage or mid-voltage processor.
• Replace a dual-processor server with a single,
dual-core processor.
• Use a two-way dual-core server in place of a four-
way server.
white paper 6
UTILIZATION OF AIR CONDITIONING
ECONOMIZER MODES
Many air conditioners offer economizer options. This
can offer substantial energy savings, depending on
geographic location. Although some datacenters
have air conditioners with economizer modes, the
economizer operation is often disabled.
COORDINATION OF AIR CONDITIONERS
Many datacenters have multiple air conditioners that
actually ight each other. One may actually heat while
another cools and one may dehumidify while another
humidiies. The result is gross waste that may require
a professional assessment to diagnose.
OPERATING FOR EFFICIENCY
white paper 7
ALIGNMENT OF STAFF
To properly engineer the migration from a traditional
energy-consuming datacenter to a modern energy-
conserving datacenter requires an organizational
alignment that facilitates such a migration. Figure 2
illustrates an IT organizational structure that
integrates the expertise of personnel who understand
both IT systems and physical infrastructure systems.
The new organizational wrinkle involves the
integration of an IT facilities arm to the rest of
the IT organization.
This organizational alignment presents several
advantages. For years, IT and facilities departments
have operated as separate entities and evolved
separate cultures and even separate languages.
As a result, most datacenter design/build or
upgrade projects are painful, lengthy, and costly.
This new IT facilities group is a separate group
from the traditional “building” facilities group. The
IT facilities group acts as a liaison between IT and
the facilities building group, but is under the direct
control of IT.
The IT facilities group addresses datacenter issues
speciic to hardware planning, electrical deployment,
heat removal, and physical datacenter monitoring.
This organizational alignment allows a datacenter
team to rapidly deploy an energy-eficient datacenter
upgrade policy that addresses both IT systems and
physical infrastructure systems.
ORGANIZING FOR EFFICIENCY
white paper 8
IT Department
Hardware SoftwareVoice
and Data
IT
Facilities
Figure 2: Aligning for Energy Efficiency6
These strategies are effective for new datacenters,
and some can be deployed immediately or over time
in existing datacenters (see Figure 3 for printable
checklist). Simple no-cost decisions made in the
design and operation of a new datacenter can result
in savings of 20–50% of the electrical bill, and, if
deploying a systematic approach, up to 90% of the
electrical bill can be avoided.
For more information concerning Green Grid activities,
go to www.thegreengrid.org
CONCLUSION
white paper 9
Efficiency
Best Practice
Itemized datacenter electric
bill in hand
Optimization of datacenter
design
Optimization of data
equipment floor layout
Proper location of vented
floor tiles
Rightsizing of UPS
Installation of “green” power
equipment
Installation of a close-coupled
cooling architecture
Deployment of server
virtualization
Installation of energy-efficient
lighting
Installation of blanking panels
Installation of efficient
plumbing
Efficient server consolidation
practices
Utilization of air conditioner
economizer modes
Coordination of air
conditioners
Proper configuration of
server software
Proper alignment of
datacenter staff
Check-off
Box
Date
Executed
Figure 3: Datacenter Energy Efficiency Checklist
REFERENCES
1 Rasmussen, N., “Electrical Eficiency Modeling of Data Centers,” White Paper #113, APC, (2005) http://www.apcmedia.com/salestools/NRAN-66CK3D_R1_EN.pdf
2 Belady, C., “How to Minimize Data Center Utility Bills”, E-Business News, Hewlett-Packard, (September 5, 2006) HYPERLINK “http://www.line56.com/articles/
default.asp?ArticleID=7881” http://www.line56.com/articles/default.asp?ArticleID=7881
3 Rasmussen, N., “Implementing Energy Eficient Data Center,” White Paper #114, APC, (2006) HYPERLINK “http://www.apcmedia.com/salestools/NRAN-6LXSHX_
RO_EN.pdf” http://www.apcmedia.com/salestools/NRAN-6LXSHX_RO_EN.pdf
4 Patterson, M.K., Costello, D., Grimm P, Loefler, M., “Data center TCO; a comparison of high-density and low-density spaces” THERMES 2007, Santa Fe, NM (January
2007)
5 Dunlap, K., Rasmussen, N., “The Advantages of Row and Rack Oriented Cooling Architectures for Data Centers,” White Paper #130, APC, (2006) HYPERLINK “http://
www.apcmedia.com/salestools/VAVR-6J5VYJ_RO_EN.pdf” http://www.apcmedia.com/salestools/VAVR-6J5VYJ_RO_EN.pdf
6 Marcoux, P., MBA, APC (2006)
©2007 The Green Grid. All rights reserved.
Executive Summary
The United States (U.S.) Environmental Protection Agency (EPA) developed this report in response to the request from Congress stated in Public Law 109-431. This report assesses current trends in energy use and energy costs of data centers and servers in the U.S. and outlines existing and emerging opportunities for improved energy efficiency. It provides particular information on the costs of data centers and servers to the federal government and opportunities for reducing those costs through improved efficiency. It also makes recommendations for pursuing these energy-efficiency opportunities broadly across the country through the use of information and incentive-based programs.
Background
As our economy shifts from paper-based to digital information management, data centers — facilities that primarily contain electronic equipment used for data processing, data storage, and communications networking — have become common and essential to the functioning of business, communications, academic, and governmental systems. Data centers are found in nearly every sector of the economy: financial services, media, high-tech, universities, government institutions, and many others use and operate data centers to aid business processes, information management, and communications functions.
The U.S. data center industry is in the midst of a major growth period stimulated by increasing demand for data processing and storage. This demand is driven by several factors, including but not limited to:
the increased use of electronic transactions in financial services, such as on-line banking and electronic trading,
the growing use of internet communication and entertainment,
the shift to electronic medical records for healthcare,
the growth in global commerce and services, and
the adoption of satellite navigation and electronic shipment tracking in transportation.
Other important trends contributing to data center growth in the government sector include:
use of the internet to publish government information,
government regulations requiring digital records retention,
enhanced disaster recovery requirements,
emergency, health and safety services,
information security and national security,
digital provision of government services (e.g., e-filing of taxes and USPS on-line tracking), and
high performance scientific computing.
During the past five years, increasing demand for computer resources has led to significant growth in the number of data center servers, along with an estimated doubling
1
Public Law 109-431
SECTION 1. STUDY.
Not later than 180 days after the date of enactment of this Act, the Administrator of the Environmental Protection Agency, through the Energy Star program, shall transmit to the Congress the results of a study analyzing the rapid growth and energy consumption of computer data centers by the Federal Government and private enterprise. The study shall include--
(1) an overview of the growth trends associated with data centers and the utilization of servers in the Federal Government and private sector; (2) analysis of the industry migration to the use of energy efficient microchips and servers designed to provide energy efficient computing and reduce the costs associated with constructing, operating, and maintaining large and medium scale data centers; (3) analysis of the potential cost savings to the Federal Government, large institutional data center operators, private enterprise, and consumers available through the adoption of energy efficient data centers and servers; (4) analysis of the potential cost savings and benefits to the energy supply chain through the adoption of energy efficient data centers and servers, including reduced demand, enhanced capacity, and reduced strain on existing grid infrastructure, and consideration of secondary benefits, including potential impact of related advantages associated with substantial domestic energy savings; (5) analysis of the potential impacts of energy efficiency on product performance, including computing functionality, reliability, speed, and features, and overall cost; (6) analysis of the potential cost savings and benefits to the energy supply chain through the use of stationary fuel cells for backup power and distributed generation; (7) an overview of current government incentives offered for energy efficient products and services and consideration of similar incentives to encourage the adoption of energy efficient data centers and servers; (8) recommendations regarding potential incentives and voluntary programs that could be used to advance the adoption of energy efficient data centers and computing; and (9) a meaningful opportunity for interested stakeholders, including affected industry stakeholders and energy efficiency advocates, to provide comments, data, and other information on the scope, contents, and conclusions of the study.
SEC. 2. SENSE OF CONGRESS.
It is the sense of Congress that it is in the best interest of the U.S. for purchasers of computer servers to give high priority to energy efficiency as a factor in determining best value and performance for purchases of computer servers.
in the energy used by these servers and the power and cooling infrastructure that supports them. This increase in energy use has a number of important implications, including:
increased energy costs for business and government,
increased emissions, including greenhouse gases, from electricity generation
increased strain on the existing power grid to meet the increased electricity demand, and
increased capital costs for expansion of data center capacity and construction of new data centers.
For these reasons, there has been mounting interest in opportunities for energy efficiency in this sector. To its credit, the information technology (IT) industry is actively
2
investigating and developing solutions, such as power-managed servers and adaptive cooling.
The direct energy use of IT and infrastructure equipment is not, however, the only way that data centers affect energy use. The data processing and communication services provided by data centers can also lead to indirect reductions in energy use in the broader economy, which can exceed the incremental data center energy expenditures in some cases.1 For instance, e-commerce and telecommuting can reduce both freight and passenger transportation energy use. Nonetheless, even though IT equipment may improve energy efficiency in the economy as a whole, pursuit of energy efficiency opportunities in data centers remains important because of the potential for rapid growth in direct energy use in this sector and the resulting impact on both the power grid and U.S. industries.
Role of EPA EPA has a more than 15-year history of advancing energy efficiency in IT equipment as well as commercial buildings, beginning with the first ENERGY STAR specifications for computers established in 1992 and the Green Lights program established in 1991. Through the ENERGY STAR program, EPA now qualifies a wide array of IT products, including personal computers, imaging equipment, printers, and monitors. EPA has made particular strides in addressing standby energy and power management for these products, demonstrating that it is possible to encourage rapid development and adoption of energy-efficient technologies and practices. The energy savings from efficiency improvements in these products are currently in the billions of dollars per year (US EPA 2006). EPA has also developed an innovative commercial building rating system that helps owners and managers assess the energy performance of their buildings and target efficiency improvements.
In January 2006, EPA convened the first national conference dedicated to examining energy savings opportunities for enterprise servers and data centers. Representatives from the utility, financial services, healthcare, internet, and manufacturing sectors attended the conference (http://www.energystar.gov/datacenters). EPA is now working on the first priority identified in that conference, the development of objective measurements of server energy performance, on which future efficiency criteria would be based.
To develop this report, EPA convened a study team led by researchers from the Lawrence Berkeley National Laboratory. The study team offered stakeholders multiple opportunities to give input to and review this report, including:
conducting preliminary calls with key stakeholders to help plan the study;
holding a public workshop on February 16, 2007 (attended by approximately 130 people) to solicit input on the topic of energy efficiency in servers and data centers;
1 The magnitude of indirect energy reductions attributable to IT equipment is uncertain; one of this report’s recommendations is that research should be conducted to better understand this effect.
3
following up on workshop attendees’ offers of assistance, to gather and refine information for the study;
posting on the ENERGY STAR web site an open call for interested parties to submit information, as well as a list of data needs;
posting on the ENERGY STAR web site a public review draft of this report; and
incorporating into the final version of this report comments on the public review draft from more than 50 organizations and individuals.
Energy Use in Data Centers Through 2011
The energy used by the nation’s servers and data centers is significant. It is estimated that this sector consumed about 61 billion kilowatt-hours (kWh) in 2006 (1.5 percent of total U.S. electricity consumption) for a total electricity cost of about $4.5 billion. This estimated level of electricity consumption is more than the electricity consumed by the nation’s color televisions and similar to the amount of electricity consumed by approximately 5.8 million average U.S. households (or about five percent of the total U.S. housing stock). Federal servers and data centers alone account for approximately 6 billion kWh (10 percent) of this electricity use, for a total electricity cost of about $450 million annually.
The energy use of the nation’s servers and data centers in 2006 is estimated to be more than double the electricity that was consumed for this purpose in 2000. One type of server, the volume server, was responsible for the majority (68 percent) of the electricity consumed by IT equipment in data centers in 2006. The energy used by this type of server more than doubled from 2000 to 2006, which was the largest increase among different types of servers. The power and cooling infrastructure that supports IT equipment in data centers also uses significant energy, accounting for 50 percent of the total consumption of data centers. Among the different types of data centers, more than one-third (38 percent) of electricity use is attributable to the nation’s largest (i.e., enterprise-class) and most rapidly growing data centers.
These energy consumption estimates were derived using a bottom-up estimation method based on the best publicly available data for servers and data centers. The estimation was performed as follows:
- estimated the U.S. installed base of servers, external disk drives, and network ports in data centers each year (based on industry estimates of shipments and stock turnover);
- multiplied by an estimated annual energy consumption per server, disk drive, or network port; and
- multiplied the sum of energy use for servers, storage, and networking equipment by an overhead factor to account for the energy use of power and cooling infrastructure in data centers.
This method was also used to develop five-year projections for future energy use. A five-year time horizon was chosen for the scenarios because this is the period for which equipment shipment forecasts were available, and a period for which change in the rapidly evolving IT sector can be reasonably forecasted. Two baseline scenarios were analyzed to estimate expected energy use in the absence of expanded energy-efficiency
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efforts. The “current efficiency trends” scenario projected the current energy use trajectory of U.S. servers and data centers based on recently observed efficiency trends for IT equipment and site infrastructure systems. The “historical trends” scenario did not reflect these current energy efficiency trends but simply extrapolated observed 2000 to 2006 energy-use trends into the future. The historical trends scenario projected the energy use of U.S. servers and data centers if no energy-efficiency improvements were made, and therefore indicates the energy savings associated with efficiency trends that are already under way.
Under current efficiency trends, national energy consumption by servers and data centers could nearly double again in another five years (i.e., by 2011) to more than 100 billion kWh (Figure ES-1), representing a $7.4 billion annual electricity cost. The peak load on the power grid from these servers and data centers is currently estimated to be approximately 7 gigawatts (GW), equivalent to the output of about 15 baseload power plants. If current trends continue, this demand would rise to 12 GW by 2011, which would require an additional 10 power plants.
These forecasts indicate that unless energy efficiency is improved beyond current trends, the federal government’s electricity cost for servers and data centers could be nearly $740 million annually by 2011, with a peak load of approximately 1.2 GW.
These estimates of data center energy use should be considered approximate because limited data are available on current data center energy use, and there is significant uncertainty about the effects of future technology trends, such as server consolidation and developments in network and storage technologies. However, these estimates and projections illustrate the magnitude of energy use in data centers and the need for effective energy-efficiency strategies. Energy consumption monitoring and reporting may be needed to both improve these estimates and inform future policy initiatives.
Energy-Efficiency Opportunities in Servers and Data Centers There is significant potential for energy-efficiency improvements in data centers. Although some improvements in energy efficiency are expected if current trends continue, many technologies are either commercially available or will soon be available that could further improve the energy efficiency of microprocessors, servers, storage devices, network equipment, and infrastructure systems. For instance, existing technologies and design strategies have been shown to reduce the energy use of a typical server by 25 percent or more. Even with existing IT equipment, implementing best energy-management practices in existing data centers and consolidating applications from many servers to one server could reduce current data center energy usage by around 20 percent. Energy-efficiency strategies could be implemented in ways that do not compromise data center availability, performance or network security, which are essential for these strategies to be accepted by the market. To develop a better understanding of energy-efficiency opportunities that would accelerate adoption of energy-efficient technologies beyond current trends, three energy-efficiency scenarios were explored:
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The “improved operation” scenario includes energy-efficiency improvements beyond current trends that are essentially operational in nature and require little or no capital investment. This scenario represents the “low-hanging fruit” that can be harvested simply by operating the existing capital stock more efficiently.
The “best practice” scenario represents the efficiency gains that can be obtained through the more widespread adoption of the practices and technologies used in the most energy-efficient facilities in operation today.
The “state-of-the-art” scenario identifies the maximum energy-efficiency savings that could be achieved using available technologies. This scenario assumes that U.S. servers and data centers will be operated at maximum possible energy efficiency using only the most efficient technologies and best management practices available today.
Details of the key energy-efficiency assumptions used in this analysis are shown in Table ES-1. These assumptions represent only a subset of the energy-efficiency strategies that could be employed in practice; it is not a comprehensive list of all energy-efficiency opportunities available in U.S. data centers.
Table ES-1. Summary of Assumptions for Analysis of Alternative Efficiency
Scenarios
Data Center Subsystem
Scenario IT Equipment Site Infrastructure (Power and Cooling)
Continue current trends for server consolidation
30% improvement in infrastructure energy efficiency from improved airflow management
Eliminate unused servers (e.g., legacy applications)
Improved operation
Adopt “energy-efficient” servers to modest level
Enable power management on 100% of applicable servers
Assume modest decline in energy use of enterprise storage equipment
Bestpractice
All measures in “Improved operation” scenario, plus:
Consolidate servers to moderate extent
Aggressively adopt “energy-efficient” servers
Assume moderate storage consolidation
Up to 70% improvement in infrastructure energy efficiency from all measures in “Improved operation” scenario, plus:
improved transformers and uninterruptible power supplies
improved efficiency chillers, fans, and pumps
free cooling
State-of-the- art
All measures in “Best practice” scenario, plus:
Aggressively consolidate servers
Up to 80% improvement in infrastructure energy efficiency, due to all measures in “Best practice”
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scenario, plus: Aggressively consolidate storage
direct liquid cooling Enable power management at data center
level of applications, servers, and combined heat and power equipment for networking and storage
Note: These measures should be considered illustrative of efficiency opportunities in a typical data center. Some measures may only be applicable in new or expansion data centers or may be infeasible for a given data center because of local constraints. Selection of efficiency measures for a particular facility should be based on a site-specific review.
Because the best practice and state-of-the-art scenarios imply significant changes to data centers that may only be feasible to implement during major facility renovations, it was assumed in these scenarios that the site infrastructure measures requiring new capital investments would apply to only 50 percent of the current stock of data centers. For IT equipment, it was assumed that the entire existing stock turns over within the five-year forecast period.
These scenarios, based on the assumptions outlined above, illustrate significant potential for efficient technologies and practices to improve the energy efficiency of servers and data centers by 2011:
The state-of-the-art scenario could reduce electricity use by up to 55 percent compared to current efficiency trends, representing the maximum technical potential.
The best practice scenario could reduce electricity use by up to 45 percent compared to current trends, with efficiency gains that could be realized using today’s technologies.
The improved operational management scenario offers potential electricity savings of more than 20 percent relative to current trends, representing low-cost energy efficiency opportunities.
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Figure ES-1. Comparison of Projected Electricity Use, All Scenarios, 2007 to 2011
These scenarios show annual savings in 2011 of approximately 23 to 74 billion kWh compared to current efficiency trends, which reduces the peak load from data centers by the equivalent of up to 15 new power plants and reduces annual electricity costs by $1.6 billion to $5.1 billion. The projected savings in electricity use correspond to reductions in nationwide carbon dioxide (CO2) emissions of 15 to 47 million metric tons (MMT) in 2011. The best practice scenario shows that electricity use in servers and data centers can be reduced below its 2006 level during the next five years rather than almost doubling, which would be the result if current efficiency trends continue.
Based on the assumption that the federal sector accounts for about 10 percent of electricity use and electricity costs attributable to servers and data centers, the annual savings in electricity costs in 2011 to the federal government range from $160 million (for the improved operation scenario) to $510 million (for the state-of-the-art scenario).
Table ES-2. Annual Savings in 2011 by Scenario (Compared to
Current Efficiency Trends)
Scenario Electricity Electricity Carbon dioxide
consumption cost emissions
savings savings avoided
(billion kWh) ($billion 2005) (MMTCO2)
Improved operation 23 1.6 15Best practice 60 4.1 38State-of-the-art 74 5.1 47
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These efficiency gains appear to be achievable without compromising product or data center performance. Because energy efficiency is a secondary attribute of the equipment used in data centers, changes that would compromise performance will generally not be implemented. In other words, data center designers and managers will first ensure that primary needs – performance and availability – are satisfied and will only then differentiate among products and practices based on energy efficiency. In some situations, improved energy efficiency increases performance and availability. For instance, better cooling distribution in data centers can eliminate hotspots and thereby prevent equipment faults. Finally, it is important to note that the energy-efficiency improvements addressed in this report reduce the costs of excess energy use and excessive power and cooling infrastructure.
The analysis in this report includes consideration of use of fuel cells and other distributed generation (DG) technologies in data centers. DG resources can reduce data center energy costs, particularly when used in combined heat and power (CHP) systems, which use waste heat to provide cooling. CHP systems can produce attractive paybacks and are well suited to the steady power and cooling loads of data centers. Clean DG also has the environmental benefits of reduced criteria pollutants and greenhouse gas emissions. Fuel cell DG systems offer many attractive qualities, such as DC power output, for use in data centers. But fuel cells, as a new-market entrant, have a premium price over more traditional DG systems. So while DG systems based on traditional gas turbine or engine technologies can be considered cost effective without incentives, fuel cells, in many cases, will need financial incentives to be cost effective. Finally, DG systems, particularly fuel cells, do not have a long track record in high power quality, high availability applications such as data centers Given the high cost of outages for these types of facilities, more demonstration and conclusive information about system availability are needed before most facility designers and operators would likely be willing to adopt DG and CHP technologies.
Incentives and Voluntary Programs to Promote Energy Efficiency
To realize the potential benefits from greater energy efficiency in the nation’s data centers, a number of market barriers need to be addressed. The adoption of energy-efficient technologies and practices is often impeded by barriers such as higher first cost, lack of knowledge, institutional failures, and perverse incentives, and these issues apply equally to data centers. The barriers that prevent data centers from adopting changes that offer very reasonable paybacks are typically not technological but organizational. Three barriers of particular importance in data centers are:
Lack of efficiency definitions: It is difficult to define energy efficiency for a complex system such as a data center or a server. “Energy efficient” is usually defined based on the delivery of the same or better service output with less energy input, but for servers and data centers service output is difficult to measure and varies among applications. Data center operators need standard definitions of productivity in order to purchase energy-efficient equipment, operate it in an optimal way, and design and operate the buildings to house it.
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Split incentives: In many data centers, those responsible for purchasing and operating the IT equipment are not the same people that are responsible for the power and cooling infrastructure, who in turn typically pay the utility bills. This leads to a split incentive, in which those who are most able to control the energy use of the IT equipment (and therefore the data center) have little incentive to do so.
Risk aversion: With the increasing importance of digital information, data centers are critical to businesses and government operations. Thus, data center operators are particularly averse to making changes that might increase the risk of down time. Energy efficiency is perceived as a change that, although attractive in principle, is of uncertain value and therefore may not be worth the risk.
These barriers are not unique to data centers but may be more pronounced in this sector.There is a long history of incentive and informational programs to address barriers like these in other sectors – e.g., government agencies, public and private utilities. Although there are few current programs that specifically target data centers, existing energy policies and programs that promote high efficiency buildings and equipment – such as product labeling programs, commercial building technical assistance programs, financial incentives, and government procurement – may be applicable to data centers. These programs include:
Product labeling: Labels identify products that meet certain specifications for performance, including high energy performance, based on standard methods for measuring energy efficiency. These labels can make customers aware of the energy costs associated with their purchasing decisions and encourage consumer acceptance and recognition of high-efficiency products. The performance specifications that underlie the labels form clear purchasing guidelines. This in turn encourages manufacturers to make increasing numbers of efficient products.
Commercial building technical assistance: The growth of data centers is a relatively recent phenomenon, so best practices for design and operation are only recently being developed. Technical assistance programs provide information to facility designers and operators to help them effectively incorporate energy efficiency in the design and operation phases for their facilities. Newer practices in this area include establishment of whole-building energy performance benchmarking. Technical assistance can be provided by government agencies, electric utilities, professional organizations, and industry groups.
Financial incentives: Electric utilities and governments often offer financial incentives to encourage investments in energy-efficiency measures. Financial incentives help buy down the additional cost of more efficient products when initial product costs are higher than for less-efficient products, help compensate for the increased effort needed to learn about and locate energy-efficient equipment, draw attention to technologies, and legitimize these technologies in the eyes of consumers. The most active utility in the data center sector is Pacific Gas and Electric Company, which offers incentives for server consolidation, among other strategies.
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Government procurement: Federal, state, and local governments spend tens of billions of dollars annually on energy-consuming products, which means that there are thousands of opportunities to reduce government energy use through the purchase of energy-efficient products. Government procurement programs help raise awareness of new-to-market energy-efficient products, increase comfort levels as efficient products are put into use, and reduce costs of manufacture through economies of scale. The federal government is required by law to purchase energy-efficient products unless these products are proven to be not cost-effective. The government has developed energy performance specifications for more than 70 types of products.
EPA has begun addressing the energy performance of equipment in data centers by supporting development of energy-performance metrics for servers. In addition, governments and utilities are exploring program mechanisms for promoting improved efficiency.
Recommendations
A mix of programs and incentives is necessary to achieve a significant portion of the potential savings identified in the energy-efficiency scenarios above. Improvements are both possible and necessary at the level of the whole facility (system level) and at the level of individual components. Although it is not possible to optimize data center components without considering the system as a whole, it is also true that efficient components are important for achieving an efficient facility (for instance, efficient servers generate less waste heat which reduces the burden on the cooling system). Nevertheless, the greatest efficiency improvements will likely result from a comprehensive approach, given that there are opportunities for improvement in many areas of the IT equipment and infrastructure systems.
Based on a review of a range of incentives and voluntary programs that have been used in other sectors, and considering the unique aspects of the server and data center market, a number of recommendations can be made to pursue improved energy efficiency in the near term. These recommendations include:
Standardized performance measurement for data centers — Data center operators need standard metrics to assess and report the energy performance of their facilities. The federal government and industry should work together to develop an objective, credible energy performance rating system for data centers, initially addressing the infrastructure portion but extending, when possible, to include a companion metric for the productivity and work output of IT equipment. These metrics should account for differences in data centers in areas such as computing output and availability requirements.
Federal leadership — The federal government can act as a model in encouraging improved data center efficiency. The government should commit to: publicly reporting the energy performance of its data centers once standardized metrics are available, conducting energy efficiency assessments in all its data centers within two
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to three years, and implementing all cost-effective operational improvements. Additionally, the Architect of the Capitol should implement the server-related recommendations from the Greening of the Capitol report (Beard 2007).
Private-sector challenge — The federal government should issue a challenge to private-sector chief executive officers (CEOs) to conduct DOE Save Energy Now energy-efficiency assessments, implement improvements, and report energy performance of their data centers. These assessments require protocols and tools that should be jointly developed by government and industry.
Information on best practices — Objective, credible information is needed about the performance of new technologies and about best practices as well as the effect of both on data center availability. This information will help raise awareness of energy-efficiency issues in this sector and reduce the perceived risk of energy-efficiency improvements in data centers. The government should partner with industry to develop and publish information on field demonstrations and case studies of best practices. This information should be disseminated as part of a campaign to make data center managers aware of the benefits of energy efficiency in addressing power and cooling constraints in data centers.
Standardized performance measurement for data center equipment —Purchasers of data center equipment, such as servers, storage, network equipment, and uninterruptible power supplies (UPSs), need objective, credible energy performance information if they are to purchase efficient products.
o The federal government should work with industry to develop objective, credible energy performance metrics for this equipment.
o Using these metrics, the government should also investigate whether development of ENERGY STAR specifications for these product categories would be an effective strategy to complement the whole-facility approaches outlined above.
o If and when ENERGY STAR specifications are developed, federal procurement specifications that build on ENERGY STAR should be implemented.
Research and development—The federal government, in collaboration with industry, universities, electric utilities, and other stakeholders, should initiate a comprehensive research and development (R&D) program to develop technologies and practices for data center energy efficiency. Specific research needs are identified in Chapter 8 (R&D recommendations) of this report, covering the following topics: computing software, IT hardware, power conversion, heat removal, controls and management, and cross-cutting activities.
Public/private partnership for energy efficiency in data centers—The federal government should engage stakeholders to formulate a common initiative (including public policies and private-sector actions) to promote energy efficiency in data centers to continue the dialog that this report initiates. Logical next steps would
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include defining priorities for the various strategies outlined in this report, developing timelines, defining roles for the various stakeholders, and identifying gaps and issues that require further assessment.
In addition to these near-term actions, several other actions can also play an important role in saving energy used by servers and data centers:
Federal Government:
- Develop a procurement specification for the energy performance of outsourced data centers.
- Work with industry to develop better tools, such as life-cycle risk models and total cost of ownership models that incorporate energy costs, for management of energy in data centers.
- Separately meter all federally owned data centers with significant energy use. - Charge data center tenants for energy consumption of IT equipment in
government-owned data centers. - Partner with electric utilities, universities, and the data center industry to develop
one or more neutral, “real-world” testing and demonstration centers (“National Center for Data-Center Best Practices”) to verify new technologies for reducing energy consumption in data centers.
- Help organize a technology procurement program to bring to market energy-efficient products for data centers.
- Partner with training organizations to develop education and training information and curricula about energy efficiency in data centers.
- Target data centers for efficiency upgrades using energy services performance contracts (ESPCs) and utility energy service contracts (UESCs).
- Provide technical assistance for demonstration projects of energy efficiency in data centers.
- Conduct demonstration and education projects for fuel cells and other clean, efficient DG technologies used for CHP in data centers.
- Develop a procurement specification to improve the efficiency of high-performance computing facilities.
State and Local Governments:
- Consider requiring separate utility meters on large data centers, either through utility regulation or building codes.
- Consider offering financial incentives for clean, efficient technologies used for CHP in high-availability installations (data centers, telecom facilities, etc.).
Electric Utilities:
- Consider offering incentives for energy-efficient data center facilities and equipment, based on the metrics described above.
- Consider partnering with the federal government to develop a neutral, “real-world” testing and demonstration center to verify new technologies for reducing energy consumption in data centers.
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- Consider partnering with the federal government to develop a technology procurement program for efficient products.
- Consider offering education and training resources as a component of energy-efficiency programs for data centers.
- Consider offering financial incentives for clean, efficient DG and CHP in data centers.
Data Center Industry:
- Consider partnering with the federal government to develop an objective, credible energy-performance rating system for data centers.
- Consider partnering with the federal government to develop improved tools, such as “energy aware” total cost of ownership models and life-cycle risk models, for management of energy in data centers.
- Consider partnering with the federal government to develop a neutral, “real-world” testing and demonstration center to verify new technologies for reducing energy consumption in data centers.
Conclusions
This report helps define a vision for achieving energy efficiency in U.S. data centers. Although the growing energy use of servers and data centers makes this a challenging goal, there are large opportunities for savings. These savings will not be easy to achieve, given the barriers outlined in this report, but there are many policies available to overcome the barriers. Realizing these efficiency gains will take coordination and collaboration among many stakeholders: the government, the IT industry, data center operators, electric utilities, and others. The outlook for efficiency gains is encouraging, though, because industry is very engaged with these issues and is working with customers who are demanding solutions to the growing energy use in data centers. Federal initiatives should build on these efforts and partner in ways that develop objective, credible information, benchmarks, metrics, and industry standards. Finally, as a significant operator of data centers itself, the federal government can help facilitate change by changing the way it designs and operates its own facilities.
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