Efficiency Without Compromise by Emerson Network Power

Efficiency Without Compromise: Optimizing Data Center Infrastructure to Reduce Cost and Deliver High Availability

Emerson Network Power: The global leader in enabling Business-Critical Continuity Emerson Technologies             

Uninterruptible Power Power Distribution Surge Protection Transfer switching DC Power Precision Cooling High Density Cooling Racks Rack monitoring Sensors and Controls KVM Real-Time Monitoring Data Center Software

Emerson Network Power â&#x20AC;&#x201C; An organization with established customers

ÂŠ 2010 Emerson Network Power

Ron Bednar Director, Marketing and Customer Insight Emerson Network Power

ÂŠ 2010 Emerson Network Power

Top data center issues

Rank

Fall 2006

Fall 2007

Spring 2009

Heat Density

Space/Growth

Power Density

Energy Efficiency

Power Density

Energy Efficiency

Monitoring

Availability

Space/Growth

Power Density

Source: Data Center Usersâ&#x20AC;&#x2122; Group

ÂŠ 2010 Emerson Network Power

Most energy efficient UPS solution

ÂŠ 2010 Emerson Network Power

Top data center issues

Rank

Fall 2006

Fall 2007

Spring 2009

Fall 2009

Heat Density

Availability

Space/Growth

Power Density

Energy Efficiency

Monitoring

Power Density

Energy Efficiency

Monitoring

Heat Density

Monitoring

Availability

Energy Efficiency

Availability

Space/Growth

Power Density

Source: Data Center Usersâ&#x20AC;&#x2122; Group

ÂŠ 2010 Emerson Network Power

Efficiency considerations By making reducing energy consumption in my power and cooling infrastructure, did I: • • • • •

Increase the chance of downtime? Increase cost to run my IT equipment? Increase maintenance costs? Affect future flexibility? Impact the ability to manage my infrastructure?

Compromising availability for energy efficiency • Compare energy costs of two data centers 500 kW of IT, 10 cents / kW hr

Data Center A

UPS Effeciency Cost to Power the Load

92% $35,040

Data Center B Energy "Efficient" 95% $21,900

Energy Savings Per Year -$13,140

• Data Center B saves $13K per year in energy costs – UPS running on pure bypass

• Result: Improved efficiency at the expense of availability – Pure bypass = IT susceptible to surges and sags

Cost of downtime • Typical hourly cost of downtime by industry – – – – –

Brokerage service: $6.48 million Energy: $2.8 million Telecom: $2.0 million Retail: $1.1 million Health care: $636,000

Sources: Network Computing, the Meta Group and Contingency Planning Research

• Don’t save $13K, only to cost you and your customers millions of dollars in lost revenue – A single minute of downtime can wipe away all energy savings

Better to equate efficiency to lifecycle of a data center Ability to produce an output with a minimum of effort, expense, or waste

Design & Deployment

Management & Planning

Operation

ÂŠ 2010 Emerson Network Power

Efficiency Without Compromise

“Optimizing data center infrastructure to reduce cost and deliver high availability”

Uninterruptible Power

Economization

Balancing high levels of availability and efficiency

Critical Services

Differences between transformer based and transformerless UPS systems Transformer

Transformerless

• • • •

• • • • • •

•

• • •

Enterprise space Dual input sources Full galvanic isolation Passive + active I/O power quality management Lower and more predictable management of fault currents Better DC fault management Reduced need for capacity paralleling; larger modules Affords best system availability

• • • •

Small/medium business space Smaller footprint; lighter weight Marginally higher efficiency Single input source No internal galvanic isolation 100% active I/O power quality management N+1: Lower initial system cost Easier expansion and change Best accommodates fuzzy growth plans Improved efficiency at high loading

N+1 redundancy: Too many Nâ&#x20AC;&#x2122;s? Critical Bus Availability 1 0.995

N = 1 maximizes availability

0.99 0.985

0.98

Assumption: Single UPS + battery reliability of .99

ÂŠ 2010 Emerson Network Power

UPS systems and efficiency ranges Typical enterprise data center operating range

ÂŠ 2010 Emerson Network Power

Economizers for data centers Water-Side

Air-Side

• Pros – Can be used in any climate – Service requirements and complexities greatly reduced • Cons – Series indirect piping and control more complex – Complexity during Change-over – Risk of pitting coils if untreated stagnant water sits in econocoils

• Pros – Best in moderate climates • Cons – Ductwork required to get air to the space – Humidity control can be a challenge. Vapor barrier is compromised – Dust, pollen and gaseous contamination sensors are required – Hard to implement in “high density” applications – Mildew minimization actions required

Air economizer system Air Economizer Operation

Normal operation • Air pattern same as traditional under-floor system fed by perimeter cooling units

• Basic air flow is unchanged • External air is brought into the mixing box on the top of each cooling unit and exhausted through an independent air exhaust system • Intake is enthalpy controlled • Exhaust system is controlled by the air pressure in the room

Langan Engineering • Environmental engineering firm Elmwood Park, NJ ̶ ̶ ̶

Company experiencing rapid growth Organization implementing company-wide green initiative Area susceptible to sags and brownouts

• Replaced seven small lineinteractive UPS units with a single Liebert NX with Softscale on-line UPS • Scalable system enables company to double power capacity without adding or modifying hardware • UPS operates at 93 percent efficiency while decreasing downtime by 20 percent

Variable Air Flow

Variable Capacity

Adapting to IT changes for continuous optimization and design flexibility.

Intelligent Control

Variable-capacity cooling • IT loads have a large variation in cooling and airflow requirements – Virtualization, power management, new equipment

• Need to match cooling capacity with the IT load – Eliminates over cooling and improves cooling efficiency with reduced cycling

Variable-capacity cooling • Situation: Over-provisioned room – Ten 30 ton units, running at 70% capacity – Install Variable Speed Drives or Turn-Off Units

30 Ton CRAHs Cooling Produced (ton) Total Power Needed to Operate Units (kW) Cost to Operate Units ($0.10/kWh) Energy Savings Extra Cooling Capacity

Current Situation

Install VSD

Turn Off 2 Unit

10 300 124 $109,000

10 240 42.5 $37,500 $71,500 30%

8 240 99.2 $87,000 $22,000 13%

30%

UPS Energy Optimization Mode What is Energy Optimization Mode?

100.0% 99.0%

• Operation of critical load on bypass • Increases efficiency by idling the inverter while the load is fed by the bypass

98.0%

• If poor quality conditions are detected, unit automatically switches to full double conversion mode • May be a viable strategy with one system in 2N environments

93.0%

750kVA NXL Efficiency

97.0% 96.0% 95.0% 94.0%

92.0% 91.0% 90.0%

30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% Eff

EcoMode Efficiency

Intelligent paralleling

3 Units @ 25% Load Each = 91.5% Efficiency

% Load

• Firmware intelligence • Increases the efficiency of an N+1 system by turning off redundant module inverters • Maintains user programmed levels of redundancy and distributes off-time equally between modules • Maintains battery charging through the rectifier

% Load

What is intelligent paralleling?

2 Units @ 38% Load = 93.5% Efficiency

Intelligent cooling controls Integrated Control Solution

Improved system efficiency

CRAC CRAC

• Liebert iCom controls establish unit-to-unit teamwork control • Temperature sensor grid allows more precise airflow delivery • Allows one unit to serve multiple rows or CAC areas

FAN SPEED CONTROL SENSORS

Unit Control Sensor TEMP CONTROL SENSORS

Bay Area Internet Solutions • Co-location facility in Santa Clara, Calif. ̶ 83,000 sq. ft. facility ̶ 45,000 sq. ft. of raised floor space

• Innovative “box within a box” economizer design – Takes in 200,000 CFM of cool air to supplement CRAC units – Air filtered twice - in air corridor and by precision cooling units before entering data center floor – Runs 85 percent of the time

• Liebert CW CRAC units with Variable Speed EC Fans – Allows units to adapt capacity to IT load – Reduces energy consumption 10 to 30 percent

•

500 racks of cold aisle containment – 100% separation of hot and cold air – 500% more cost effective to build than hot aisle containment

• Anticipated cooling infrastructure energy savings of 4 million kWh per year and PUE of 1.4 while achieving 99.999% availability • Awarded maximum incentive amount from Silicon Valley Power’s Customer Directed Rebate program

Uninterruptible High Density Power Cooling

Intelligent Aisle Containment

Delivering architectures from 1060kW/rack to minimize space and cost.

Power Architecture

Data center density increasing Drivers • • • •

Constraints Consolidation Virtualization Cloud environments

Benefits • Optimize space • Lower building costs • Energy savings in cooling system

Source: DCUG Surveys

Major areas of costs and savings Adding 2000 kW of IT at 20kW/rack vs. 5kW/rack • • • • •

Smaller building for high density Fewer racks for high density Capital equipment costs more Equipment installation costs higher High density cooling is more efficient Building Costs @ $250 sq ft Rack and PDU cost @ $2,500 each

Cost Difference Low Density vs High Density ($1,875,000) ($750,000)

Cooling Equipment

$320,000

Installation Costs

$750,000

Cooling Operating Costs (1yr) Total Net Savings of a High Density Design 5 yr Total Net Savings of High Density

($420,480)

($1,975,480) ($3,657,400)

Integrated containment • Integrates the benefits of aisle containment with the capabilities of the control for optimized cooling • Containment maximizes air utilization • The control matches cooling capacity with heat load – Variable speed fans – Variable capacity compressors

Savings – DX system Without Aisle Containment With Aisle Containment 75 F

89 F 54 F

With Integrated Containment

85 F

92 F

94 F

•CFM •100%

62 F

64 F

97F

•CFM •90%

62 F

80 F

85 F 62 F

62 F

54 F

CFM 67%

Without Containment

Containment

Integrated Containment

Compressor

69.7%

50.9%

50.4%

Condenser

9.3%

Evaporator Fan

21.0%

18.5%

7.2%

Total

100%

78.7%

66.9%

21%

33%

High density cooling • • • •

On demand, plug-and-play flexibility to add additional capacity Cooling at the source of heat with advanced compact heat exchangers Multiple module configurations to meet any data center layout Can increase energy savings by more than 50%

Cooling strategies and future opportunities

Cooling System Power (kW) / IT load (kW)

Supplemental

ÂŠ 2010 Emerson Network Power

CDW Berbee •

Data center in Minneapolis – – –

• •

Hot spots throughout the data center Liebert XD system delivers cooling directly to the source – –

• • •

•

12,000 sq. ft. 600 racks 30 blade center chassis

Eight 20 kW Liebert XDH horizontal row coolers One 160 kW Liebert XDC coolant chiller

Modular cooling strategy enables future growth Achieving a consistent temperature throughout the data center Earned $1,725 utility rebate based on energy savings and efficiencies of the Liebert XD system Saved 11 kW per hour in operating costs

Expert Advice

Management Tools & Technologies

Improving performance of the IT infrastructure and environment

Integration & Operation Services

What is infrastructure management?

Modeling, planning, tracking and complexity reduction

Service Capabilities • Industry Leadership: Energy Logic, Emerson Green Data Center • Best practices assessments and implementation service

Visibility, Access & Contol at the rack & device

Embedded Technology Solutions

Service Processor Manager

KVM Switch

Sensor Network

Serial Console

Rack Distribution Unit

PDU

Flexible Planning and Design of Infrastructure components

Value, performance and confidence REDUCE RISK, ENERGY USAGE, COST INCREASE ASSET UTILIZATION and TIME TO RESPOND

Deliver value to customers by enabling visibility into the data center. Transform data into action

VISIBILITY, ACCESS AND CONTROL • Visibility to key operating parameters for power and cooling • Access creates a two way flow of data and control: information is actionable • Getting the capacity into the right space at the right time

AGGREGATE, CONSOLIDATE KEY DATA ELEMENTS • Understand the true cost of the infrastructure • Know the effects of a change • Identify the risk areas, availability, etc. • Know, Plan, and Act on the requirements

EXECUTE AGILE, EFFECTIVE CHANGE • • • • •

Performance Optimization Change Management (Complexity) Asset Management Maximize availability Accurate metrics to drive continuous improvement

Assessments identify weaknesses and vulnerabilities • Identifies site-specific requirements • Identifies unwanted hot spots which degrade equipment and data • Reduces operating costs and the likelihood of equipment failure and downtime • Facilitates data center capacity planning • Provides actionable information

Battery mean time between failure example

Battery maintenance and no monitoring experience high reliability On-site experience significantly longer runtime before a failure Serviced monitoring have experienced no outages due to bad batteries â&#x20AC;&#x201C; 1.6 million run hours!

Study based on batteries under contract prior to the end of their expected service life

ÂŠ 2010 Emerson Network Power

Online university • Online university – >300,000 students worldwide • Data center – 10,000 sq. ft. – 1,000 production servers • Implemented centralized monitoring solution • Increased understanding of the current state of critical IT infrastructure through proactive monitoring and management • Data analysis and trend reporting tools allowed data center staff to analyze data and use it to prevent specific problems from recurring • Customized alerts depending on the type and seriousness of the event

Norton Healthcare •

•

• • •

Hospital and healthcare system in Louisville, Ky. – Rapidly growing IT organization due to implementation of electronic medical records – Complete data center renovation Liebert SiteScan providing the new NOC with centralized monitoring and control of SNMP devices through existing network management systems Staff automatically notified when environmental conditions or power capacities change Increased workload by at least 100% without increasing staff Reduced help desk calls by 20%

Before

After

Efficiency Without Compromise

“Optimizing data center infrastructure to reduce cost and deliver high availability”

Q&A

Ron Bednar Director, Marketing and Customer Insight Emerson Network Power

ÂŠ 2010 Emerson Network Power

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