Critical Advantages in Enterprise Data Center Design: Best Practices for Increasing
Efficiency, Availability and Capacity
Presenter
Presentation Notes
“Critical Advantages in Enterprise Data Center Design: Best Practices for Increasing Efficiency, Availability and Capacity.” I’m Thom Gall, and I’ll be your host. Today’s webcast is certified by the International Association for Continuing Education and Training. To earn one-tenth of a CEU training credit, simply tune in for all 60 minutes of our program today, and your certificate will be e-mailed to you at the address you used to register for the program. Today, we’ll learn how traditional data center practices have changed, and discover the seven best practices in Emerson Network Power’s *Smart Design* approach for meeting new challenges and optimizing efficiency using existing technologies. I’ll first give you a brief introduction of Emerson Network Power and its Liebert products and services, then we’ll dive into our presentation.
Emerson Network Power: The global leader in enabling Business-Critical Continuity
Automatic Transfer Switch
ParallelingSwitchgear
Uninterruptible Power Supplies & Batteries
Fire Pump Controller
Surge Protection
Extreme-DensityPrecision Cooling
Power Distribution UnitsData Center Infrastructure Management
Integrated Racks
Cooling
RackRack Power
Distribution Unit
KVM Switch
UPS
Monitoring
Cold Aisle Containment
Row-Based Precision Cooling
TM
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Presenter
Presentation Notes
Emerson Network Power is an Emerson business and the global leader in enabling Business-Critical Continuity. That means they provide the technology that powers and protects the critical systems business depends on, like servers and communications equipment. Through its Liebert AC power, precision cooling and monitoring products and services, Emerson Network Power delivers *Efficiency Without Compromise* by helping customers to optimize their data center infrastructures so as to reduce costs and deliver high availability.
Best Practices for Increasing Efficiency, Availability and Capacity
David Sonner,Senior Director, Product Marketing,Liebert AC Power,Emerson Network Power
Fred Stack,Vice President of Marketing,Liebert Precision Cooling,Emerson Network Power
Presenter
Presentation Notes
And now, on to our presentation. Returning to our webcast program today are David Sonner and Fred Stack. As Senior Director of Product Marketing for the Liebert AC Power business of Emerson Network Power, David provides leadership and direction for the product marketing team for all Liebert AC power products sold in the Americas, and provides industry and emerging trend analysis to inform Emerson’s global AC power market approach. Fred has been with Emerson Network Power since 1995, and as Vice President of Marketing for the Liebert Precision Cooling business of Emerson Network Power, he is responsible for developing new precision cooling product development roadmaps that reflect evolving market needs and incorporate new technology. Fred and David, thanks for joining us today. (banter) Now, before you dive into the seven best practices that make up Emerson Network Power’s newly-introduced *Smart Design* philosophy, I want to remind everyone tuning in that you can our presenters a question by clicking the red Q&A button at the bottom of your console and typing your question into the box. Our presenters will answer as many questions as we can during our Q&A at the end of this presentation. Also, please feel free to use any of the social media buttons at the bottom of your screen to post a comment about today’s program. And with that, Fred, why don’t you take it away with a look at some of the business drivers that are creating the need for more efficiency, availability and capacity in the data center today?
Cost of data center downtime by category
Source: 2011 National Study on Data Center Downtime
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Presenter
Presentation Notes
FRED The data center is one of the most dynamic and critical operations in any business. Complexity and criticality have only increased in recent years as data centers experienced steady growth in capacity and density, straining resources and increasing the consequences of poor performance. The 2011 National Study on Data Center Downtime revealed that the average cost for a full data center shutdown exceed $680,000, with the largest costs being business disruption and lost revenue. Results shown are derived from the analysis of 41 data centers conducted by the Ponemon Institute.
Top data center concernsSpring 2008 Spring 2009 Spring 2010 Spring 2011
Heat Density Heat Density Monitoring & Management Availability
Power Density Energy Efficiency Heat Density Monitoring & Management
Availability Monitoring & Management Availability Heat Density
Monitoring &Management Availability Energy Efficiency Energy Efficiency
Energy Efficiency Power Density Power Density Power Density
Space Constraints Space Constraints Space Constraints Space Constraints
Source: Data Center Users’ Group Survey
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Presenter
Presentation Notes
FRED Because the cost of downtime is so high, availability has long been the most important metric on which data centers were evaluated. However, today, data centers have to do more than support the business 24/7. They must also operate efficiently—in terms of both energy and management resources—and be flexible enough to quickly and cost-effectively adapt to changes in business strategy and computing demand. These competing demands are reflected in the key issues identified each year by the Data Center Users Group as shown on the slide.
The Emerson approach
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Presenter
Presentation Notes
FRED Building out the physical infrastructure to support key initiatives now means looking for efficiencies at multiple levels of data center operations. Emerson Network Power views efficiency as going beyond energy savings and addressing how infrastructure is designed and deployed, how it improves operates and how it optimizes management and planning. Managers want to optimize infrastructure design to reduce first costs and optimize use of existing space and infrastructure. Operation efficiency is required to meet systems availability requirements, reduce ongoing costs, e.g. power, and free up stranded capacity through software technologies that provide higher visibility into system performance. Efficiency in Management and Planning helps managers to install solutions faster in response to business requirements, enhance control over the IT environment, reduce the time spent on break/fix maintenance and streamline how they add and change equipment. The following seven best practices serve as the foundation for data center infrastructure design. These proven approaches provide planners and operators with a roadmap for optimizing the efficiency, availability and capacity of new and existing facilities. To tell you what those seven best practices are and to give you some insight as to how they may impact you and your design practices.
#1: Maximize Return Air Temperature at the Cooling Units to Improve Capacity
and Efficiency
Presenter
Presentation Notes
FRED The first best practice is maximizing the return air temperature at the cooling units to improve capacity and efficiency. You can increase the efficiency and capacity of perimeter cooling systems by raising the temperature of the air being returned to the cooling system using the hot-aisle/cold aisle-rack arrangement and containing the cold aisle to prevent mixing of air. Perimeter cooling systems can be supported by row and cooling to support higher densities and achieve greater efficiency. These perimeter units can be augmented by the use of row-based cooling as well as supplemental cooling to support higher densities and even higher efficiency gains.
Higher return air temperature equals higher capacity and efficiency
10°F higher return air temperature typically
enables 30-38% better CRAC efficiency
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Presenter
Presentation Notes
FRED This best practice is based on the hot-aisle/cold-aisle rack arrangement, which improves cooling unit performance by reducing mixing of hot and cold air, thus enabling higher return air temperatures The relationship between return air temperature and sensible cooling capacity is illustrated in this chart. It shows that a 10 degree F increase in return air temperature typically results in a 30 to 38 percent increase in cooling unit capacity. Racks provide something of a barrier between the two aisles when blanking plates are used systematically to close openings. To further minimize mixing of air as it returns to the cooling unit, perimeter cooling units should be placed at the end of the hot aisle. If they cannot be positioned at the end, a drop ceiling can be used as a plenum to prevent hot air from mixing with cold air as it returns to the cooling unit. This also equates to efficiency capacity improvements because of the fact that the actual load of the unit of the load doesn’t change just the capacity went up.
Optimizing efficiency and capacity through containment
Hot-aisle/cold-aisle arrangement creates the opportunity to further increase cooling unit capacity by containing the cold aisle
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Presenter
Presentation Notes
FRED Containment involves capping the ends of the aisle, the top of the aisle, or both to isolate the air in the aisle. Cold aisle containment is favored over hot aisle containment because it is simpler to deploy and reduces risk during the event of a breach of the containment system. Row cooling units can operate within the contained environment to supplement or replace perimeter cooling. This brings temperature and humidity control closer to the source of heat, allowing more precise control and reducing the energy required to move air across the room. Row-based cooling units as well as high density cooling units can be be used to supplement this approach and help enhance the contained environment. �
Supplemental capacity through sensible cooling
Refrigerant-based cooling modules mounted above or alongside the rack increase efficiency and allow cooling capacity to be matched to IT load.
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Presenter
Presentation Notes
FRED For optimum efficiency and flexibility, a cooling system architecture that supports delivery of refrigerant cooling to the rack can work in either a contained or uncontained environment. This approach allows cooling modules to be positioned at the top, on the side or at the rear of the rack, providing focused cooling precisely where it is needed. The cooling modules remove air directly from the hot aisle, minimizing both the distance the air must travel and its chances to mix with cold air (Figure 7). Rear-door cooling modules go a step further and neutralize the heat before it enters the aisle. They can achieve even greater efficiencies because they use the server fans for air movement, eliminating the need for fans on the cooling unit. Supplemental cooling has been shown to reduce cooling energy costs by 35-50 percent compared to perimeter cooling only. In addition, the same refrigerant distribution system used by these solutions can be adapted to support cooling modules mounted directly on the servers, eliminating both cooling unit fans and server fans.
#2: Match Cooling Capacity and Airflow with IT Loads
Presenter
Presentation Notes
FRED The second best practice is matching cooling capacity and airflow with IT Loads. This can be done by utilizing intelligent controls that enable individual cooling units to work together as a team and support more precise control of airflow based on server inlet and return air temperatures.
Matching cooling performance to room requirements with variable capacity
FRED The fans that move air and pressurize the raised floor are a significant component of cooling system energy use. On chilled water cooling units, fans are the largest consumer of energy. Fixed speed fans have traditionally been used in precision cooling units. Variable frequency drives represent a significant improvement over fixed-speed fans as they enable fan speed to be adjusted based on operating conditions. Adding variable frequency drives to the fan motor of a chilled-water precision cooling unit allows the fan’s speed and power draw to be reduced as load decreases, which can have a dramatic impact on fan energy consumption. A 20 percent reduction in fan speed provides almost 50 percent savings in fan power consumption. The key is variable capacity. Select your equipment to match the actual loads and requirements of the equipment that you’re running at the time that you’re running makes for the most efficient data center possible.
Controlling cooling based on conditions at the server
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Temperature Control Sensor
Variable Fan Speed
Fan Speed Control Sensor
75-80°F
72-75°F
70-72°F
Presenter
Presentation Notes
FRED The most efficient cooling system is one that matches needs to requirements. This has proven to be a challenge in the data center because cooling units are sized for peak demand, which occurs infrequently in most applications. This challenge is being addressed today through the use of intelligent cooling controls capable of understanding, predicting and adjusting cooling capacity based on conditions within the data center. In some cases, these control work with the technologies in Best Practice Three to adapt cooling unit performance based on current conditions. This graphic shows the even distribution of airflow that can be achieved with intelligent controls. So what you’re really doing is you’re trying to control the temperature and air volume that’s demanded specifically by the servers at that point in time.
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Smart Aisle cooling
• Server-centric• Manages capacity and air volume independently• Adapts to changing conditions
Presenter
Presentation Notes
Smart Aisle’s cooling algorithm is a control mode that allows iCOM to manage air flow and cooling capacity independently. It is a server centric solution meaning that it focuses on the inlet temperature to the servers As the environment changes due to server utilization, equipment location changes and outside variables so does the iCOM controller Adapts from no containment, to end containment, to full containment That what Smart Aisle cooling is all about.
• Advanced energy saving control algorithms for multiple applications
• Supply temperature control• Underfloor pressure control• Smart Aisle control
To actually make it match how you operate your data center rather than trying to go with a standard, pre-packaged one-size-fits-all approach.
#3: Utilize Cooling Designs that Reduce Energy Consumption
Presenter
Presentation Notes
The third best practice is utilizing cooling designs that reduce energy consumption. This can be accomplished by taking advantage of energy efficiency components to reduce cooling system energy use as discussed earlier, but also implementing things like economizers.
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Types of economizers
Chilled water systems• Fluid economizers
• Parallel chiller tower• Series chiller tower• Series air cooled
• Air economizers• Direct• Indirect• Evaporative
DX– refrigerant cooling systems• Glycol system
• Drycooler• Cooling tower
• Refrigerant only systemEconomizers
• Pumped refrigerant
Presenter
Presentation Notes
It will depend on your geography, it will depend on the level of your data center and how important availability enters the equation as to what you’re looking at.
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Fluid economizers• Water usage• Complexity of valve system
and controls• Freezing weather• Transient change over• Capital cost
Fluid economizers• Humidity control• Contamination• Freezing coils• Transient change over• Cost of indirect systems
DX Glycol systems• Hours of free cooling• “Extra coil” air pressure drop
Pumped refrigerant• New technology
The issues– failures happen
Presenter
Presentation Notes
All these things are eliminated with this new pump refrigerant free-cooling approach.
Pumped Refrigerant EconomizationASCOP Cooling PUE
Houston 5.89 1.17San Francisco 7.91 1.13Columbus, Ohio 8.05 1.12Chicago 8.32 1.12New York 7.64 1.13Atlanta 6.62 1.15
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Cooling only PUE annualized comparisons
Presenter
Presentation Notes
Even in one city such as Houston and Atlanta, you’re looking at cooling PUEs that are less than 1.7.
#4: Select a Power System to Optimize Your Availability and Efficiency Needs
Presenter
Presentation Notes
DAVID The fourth best practice is selecting a power system to optimize your availability and efficiency needs. You can achieve required levels of power system availability and scalability by using the right UPS design in a redundant configuration that that meets those availability needs and growth plans for your business.
Four tiers of data center infrastructure availability
Data Center Infrastructure Tier
Description Availability Supported
I: Basic Data Center Single path for power and cooling distribution without redundant components.
99.671%
II: Redundant Components
Single path for power and cooling distribution with redundant components; N+1 with a single-wired distribution path throughout.
99.741%
III: Concurrently Maintainable
Multiple active power distribution paths, only one path active. Redundant components.
99.982%
IV: Fault Tolerant Dual bus distribution with two paths active providing distributed redundancy
99.995%
TIER 1
Load
UPS
PDU
Utility Source
TIER 2 Parallel Redundant
UPS 1
Utility Source w/ ATS & Generator
UPS 2
SCC
PDU
Load
TIER 3 & 4Distributed Redundant
UPS 1
STS
Load
2nd Utility Source = Tier 4
Utility Source / Generator #1
UPS 2
PDU
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Presenter
Presentation Notes
DAVID There are many options to consider in the area of power system design that affect efficiency, availability and scalability. In most cases, availability and scalability will be the primary considerations in power system design. Missing on these can have disastrous consequences in the form of increased downtime and higher expansion costs. Efficiency of the design can be enhanced through control options outlined in this Best Practice. Data center professionals have long recognized that, while every data center aspires to 100 percent availability not every business is positioned to make the investments required to achieve that goal. The Uptime Institute defined four tiers of data center availability to help guide decisions in this area. Factors to consider include UPS design, module-level redundancy and power distribution design. … Which encompasses dual bus distribution with two active power paths, so UPS systems on both sides of the system.
Increasing number of UPS in N+1 system increases risk of failure
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Presenter
Presentation Notes
DAVID A variety of UPS system configurations are available to achieve the higher levels of availability defined in the Uptime Institute classification of data center tiers. Tier IV data centers will generally use a 1+ 1 system configuration that supports a dual-bus architecture to eliminate single points of failure across the entire power distribution system. This approach includes two or more independent UPS systems each capable of carrying the entire load. This approach achieves the highest availability but may compromise UPS efficiency at low loads and is more difficult to scale than other configurations. An alternate high availability configuration that is gaining traction divides the facility into quadrants or sections with each section protected by its own UPS system. Using this approach, UPS redundancy can be tailored to the demands of a specific quadrant depending on the needs of the applications running in that quadrant. In addition, redundancy can be achieved across the quadrants. For less critical facilities, a parallel redundant configuration, such as the N + 1 architecture—in which “N” is the number of UPS units required to support the load and “+1” is an additional unit for redundancy—is a good choice for balancing availability, cost and scalability. UPS units should be sized to limit the total number of modules in the system to reduce the risk of module failure. In statistical analysis of N + 1 systems, 3 + 1 appears to be the threshold at which the risks to data center availability outweigh the benefits of scalability In order to provide maximum reliability, which has a direct correlation to the availability that you’ll get in your facility.
Transformer-based vs. transformer-free UPS design
Characteristic Transformer-Free Transformer-Based
Fault Management
Low Component Count
Robustness
Input / DC / Output Isolation
Scalability
In the Room / Row
Double Conversion Efficiency ~96% ~94%
VFD (Eco-Mode) Efficiency Up to 99% Up to 98%
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Presenter
Presentation Notes
DAVID There is growing interest in using transformer-free UPS modules in three-phase critical power applications. These systems are constructed of smaller, modular building blocks that deliver high power in a lighter weight with a smaller footprint and higher efficiency. In addition, some transformer-free UPS modules offer new scalability options that allow UPS modules and UPS systems to be paralleled to enable the power system to grow exponentially. Users that value efficiency and scalability should consider a power system design based on a transformer-free UPS. However, the modular design in a transformer-free UPS is achieved with higher component counts, and extensive use of fuses and contactors, which can result in lower Mean Time Between Failure (MTBF), higher service rates, and lower overall system availability. For critical applications where maximizing availability is more important than achieving efficiency improvements in the power system, a state-of-the-art transformer-based UPS still provides the highest availability. Transformers within the UPS provide fault and galvanic isolation as well as useful options for power distribution. Lastly are some of these alternate modes or some of these eco-modes of efficiency, which we’ll take a look at here.
Bypassing the conversion processDouble Conversion Operation (VFI Mode)
Bypass AC Input
Rectifier AC Input
Rectifier Inverter
Static Switch
Battery
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Presenter
Presentation Notes
Today, high-availability double-conversion UPS systems can achieve efficiency levels similar to less robust designs through the use of advanced efficiency controls. Approximately 4-6 percent of the energy passing through a double conversion UPS is used in the conversion process. This has traditionally been accepted as a reasonable price to pay for the protection provided by the UPS system, but with new high-efficiency options the conversion process can be bypassed, and efficiency increased, when data center criticality is not as great or when utility power is of the highest quality. And that’s the price that you pay for that level of protection and power conditioning.
A more efficient optionIntelligent Eco-mode Operation (VI Mode)
60.0%
70.0%
80.0%
90.0%
100.0%
UP
S E
ffic
ien
cyPower Load
Bypass AC Input
Rectifier AC Input
Rectifier Inverter
Static Switch
Battery
• Inverter stays in Idle• Corrects sags and swells but not frequency• Bypass source is monitored• Load harmonics profiled• Learns off-peak times• 3+% efficiency gain• VI mode (inverter hot, also an option)
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Presenter
Presentation Notes
DAVID The UPS modules incorporate an automatic static-switch bypass that operates at very high speeds to provide a break-free transfer of the load to a backup system to enable maintenance and ensure uninterrupted power in the event of severe overload or instantaneous loss of bus voltage. The transfer is accomplished in under 2ms to prevent any interruption that could shut down IT equipment. Using intelligent controls, the transfer switch can be kept open, bypassing the conversion process while the UPS monitors input power quality. When the UPS senses power quality outside accepted standards the bypass transfers power back to the inverter so anomalies can be corrected. To work successfully, the inverter must be kept in a constant state of preparedness to accept the load and so needs control power. The power requirement is below 2 percent of the rated power, creating potential savings of 4-4.5 percent compared to traditional operating modes. There really is no practical benefit to operating in this eco-or VI-mode of operation.
Intelligent paralleling reduces UPS energy consumption
3 Units @ 25% Load Each = 91.5% Efficiency
2 Units @ 38% Load = 93.5% Efficiency
% L
oad
% L
oad
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Presenter
Presentation Notes
DAVID Another newer function enabled by UPS controls is intelligent paralleling, which improves the efficiency of redundant UPS systems by deactivating UPS modules that are not required to support the load. For example, a multi-module UPS system configured to support a 700 kVA load using four 250 kVA UPS modules can support loads below 400 kVA with only three modules while maintaining redundancy. This feature is particularly useful for data centers that experience extended periods of low demand, such as a corporate data center operating at low capacity on weekends and holidays This feature is particularly useful for data centers that experience extended periods of low demands, such as corporate data centers operating at low capacity on weekends and on holidays
#5: Design for Flexibility Using Scalable Architecture that Minimizes
Footprints
Presenter
Presentation Notes
DAVID The next best practice is designing for flexibility using scalable architecture that minimizes footprints. Using the proper UPS technology and energy optimization features let’s take a look at some new power distribution strategies that provide additional scalability and flexibility within the data center.
Two-stage power distribution provides needed scalability and flexibility
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Presenter
Presentation Notes
DAVID Power distribution strategies can also affect availability, scalability and efficiency. Legacy power distribution used an approach in which the UPS fed a required number of power distribution units (PDUs), which then distributed power directly to equipment in the rack. This was adequate when the number of racks and servers was relatively low, but today, with the number of devices that must be supported, breaker space would be expended long before system capacity is reached. Two-stage power distribution creates the scalability and flexibility required. In this approach, distribution is compartmentalized between the UPS and the server to enable greater flexibility and scalability. The first stage of the two-stage system provides mid-level distribution. The mid-level distribution unit includes most of the components that exist in a traditional PDU, but with an optimized mix of circuit and branch level distribution breakers. It traditionally receives 480 Volt or 600 Volt power from the UPS, but instead of doing direct load-level distribution, it feeds floor-mounted load-level distribution units via an I-Line panelboard distribution section. The panelboard provides the flexibility to add plug-in output breakers of different ratings as needed. The load-level distribution unit is typically positioned on the end or in the center of a row of racks and can be tailored to the level of availability required by specific IT devices, including single-sourced, dual-sourced, or fed from four different inputs or sources (Figure 15). Update with new UPS models. It actually helps improve the airflow under the data center floor by reducing the obstructions.
Moving power distribution and scalability closer to the rack
Modular busway, hot swappable, 100, 225 and
400 amp
Modular row-based UPS scalable in
45kW cores
Modular power strip / rack PDU
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Presenter
Presentation Notes
DAVID Rack PDUs increase power distribution flexibility within the rack and can also enable improved control by providing continuous measurement of volts, amps and watts being delivered through each receptacle. This provides greater visibility into increased power utilization driven by virtualization and consolidation. It can also be used for charge-backs, to identify unused rack equipment drawing power, and help quantify data center efficiency. Alternately, a busway can be used to support distribution within the rack. The busway runs across the top of the row or below the floor. When run above the rack, the busway gets power distribution cabling out from under the raised floor, eliminating obstacles to cold air distribution. The busway provides the flexibility to add or modify rack layouts and changing receptacle requirements without power system down time. While still relatively new to the data center, busway type distribution has proven to be an effective option that makes it easy to reconfigure and add power for new equipment. With that, Fred, I think we’ve covered a number of electrical practices. I’ll turn it back over to you.
#6: Enable Data Center Infrastructure Management and Monitoring to Improve
Capacity, Efficiency and Availability
Presenter
Presentation Notes
FRED? The sixth best practice is enabling data center infrastructure management and monitoring to improve capacity, efficiency and availability. This can be accomplished by enable remote management and monitoring of all physical systems and bringing data from these systems together through a centralized data center infrastructure management platform. This can be accomplished by enable remote management and monitoring of all physical systems and bringing data from these systems together through a centralized data center infrastructure management platform.
Optimizing performance with data center infrastructure management and monitoring
Power Meters
Battery Monitors
UPS Web Cards
Cooling Control
Temperature Sensors
Server Control
Managed Rack PDU
KVM Switch
Leak Detection
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Control begins with a solid
instrumentation strategy.
Presenter
Presentation Notes
FRED To a large extent, data center management has been flying blind because they have lacked the visibility into system performance required to optimize for efficiency, capacity and availability. This is changing as new data center management platforms emerge that bring together operating data from IT, power and cooling systems to provide unparalleled real-time visibility into operations. The foundation for data center infrastructure management is establishing an instrumentation platform that enables monitoring and control of physical assets. Power and cooling systems will have instrumentation integrated into them and these should be supplemented with additional sensors and controls to enable a centralized and comprehensive view of infrastructure systems. The data center’s performance is optimized by Sensors and networked devices Monitoring dashboard Real time diagnosis & data You know how much capacity you have left, you’re alerted if you’re overheating, and you know if your facility is operating efficiently or not. So let’s now talk about how that may help us as we move forward into areas in improving availability. �
Improving availability
Auto track critical infrastructure systems:alerts, alarms, monitoring & control.
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Presenter
Presentation Notes
FRED Communication with a management system or with other devices is provided through interfaces that deliver Ethernet connectivity and SMNP and telnet communications. When infrastructure data is consolidated into a central management platform real-time operating data for systems across the data center can be used to drive improvements in data center performance: The ability to receive immediate notification of a failure, or an event that could ultimately lead to a failure, allows faster, more effective response to system problems. Taken a step further, data from the monitoring system can be used to analyze equipment operating trends and develop more effective preventive maintenance programs. Finally, the visibility and dynamic control of data center infrastructure provided by the monitoring can help prevent failures created by changing operating conditions. For example, the ability to turn off receptacles in a rack that is maxed out on power, but may still have physical space, can prevent a circuit overload. Alternately, viewing a steady rise in server inlet temperatures could dictate the need for an additional row cooling unit before overheating brings down the servers. �
Increasing efficiency
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• Track, measure, trend and report on key data points• Temperature• kW• Watts
• Generate PUE metrics
Presenter
Presentation Notes
FRED Monitoring power at the facility, row, rack and device level provides the ability to more efficiently load power supplies and dynamically manage cooling. Greater visibility into infrastructure efficiency can drive informed decisions around the balance between efficiency and availability. In addition, the ability to automate data collection, consolidation and analysis allows data center staff to focus on more strategic IT issues. �
Managing capacity
• Rack • Row• Room
• Air• Power • Distribution
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Presenter
Presentation Notes
FRED Effective demand forecasting and capacity planning has become critical to effective data center management. Data center infrastructure monitoring can help identify and quantify patterns impacting data center capacity. With continuous visibility into system capacity and performance, organizations are better equipped to recalibrate and optimize the utilization of infrastructure systems--without stretching them to the point where reliability suffers--as well as release stranded capacity. DCIM technologies are improving rapidly. Next-generation systems will provide a true unified view of data center operations that integrates data from IT and infrastructure systems. So Dave, I’ll turn it back over to you to talk about the last best practice.�
#7: Utilize Local Design and Service Expertise to Extend Equipment Life,
Reduce Costs and Address Your Data Center’s Unique Challenges
Presenter
Presentation Notes
DAVID The final best practice is utilizing local design and service expertise to extend equipment life, reduce costs and address your data center’s unique challenges. This can be consulting with experienced data center support specialists before designing or expanding and also making sure you conduct timely, preventive maintenance, supplemented by periodic thermal and electrical assessments. .
Consulting with specialists to apply best practices and technologies
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Configuration support and
design assistance
Presenter
Presentation Notes
DAVID While best practices in optimizing availability, efficiency and capacity have emerged, there are significant differences in how these best practices will be applied based on specific site conditions, budgets and business requirements. A data center specialist can be instrumental in helping apply best practices and technologies in the way that makes the most sense for your business and should be consulted on all new builds and major expansions/upgrades. For established facilities, preventive maintenance has proven to increase system reliability while data center assessments can help identify vulnerabilities and inefficiencies resulting from constant change within the data center.
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
On-Site PMs On-Site PMs with Alber
Ntegrated Monitoring
Outages Per Million Hours
Preventive service elevates battery mean time between failure
Battery maintenance and no monitoring experience high reliability
On-site experience significantly longer runtime before a failure
Serviced monitoring experienced no outages due to bad batteries
– 1.6 million run hours!
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Study based on batteries under contract prior to the end of their expected service life
Presenter
Presentation Notes
DAVID Emerson Network Power analyzed data from 185 million operating hours for more than 5,000 three-phase UPS units operating in the data center. The study found that the UPS Mean Time Between Failures (MTBF) for units that received two preventive service events a year is 23 times higher than a machine with no preventive service events per year. So certainly the value of preventive maintenance and professional services is very important here.
Supplementing preventive maintenance with data center assessments
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Presenter
Presentation Notes
DAVID Preventive maintenance programs should be supplemented by periodic data center assessments. A data center assessment will help identify, evaluate and resolve power and cooling vulnerabilities that could adversely affect the data center’s operation. A comprehensive assessment includes both thermal and electrical assessments, although each can also be provided independently of the other to address specific concerns. Taking temperature readings at critical points is the first step in the thermal assessment and can identify hot spots and resolve problems that could result in equipment degradation. These readings will determine whether heat is being successfully removed from sensitive heat-generating computer equipment, including blade servers. These readings are supplemented by infrared inspections and airflow measurements. Cooling unit performance is also evaluated to ensure cooling units are performing properly. Computational Fluid Dynamics (CFD) can also be used to analyze air flow characteristics within the data center. The electrical assessment includes a single-point-of-failure analysis to identify the critical failure points in the electrical system. It also documents the capacity of the switchgear and the current drawn through all UPS equipment and breakers as well as the load per IT rack per IT server equipment.
Apply These Best Practices For Optimal Performance
1. Maximize the return air temperature at the cooling units to improve capacity and efficiency
2. Match cooling capacity and airflow with IT Loads3. Utilize cooling designs that reduce energy consumption4. Select a power system to optimize your availability and efficiency
needs5. Design for flexibility using scalable architecture that minimizes
footprints6. Enable data center infrastructure management and monitoring to
improve capacity, efficiency and availability7. Utilize local design and service expertise to extend equipment life,
reduce costs and address your data center’s unique challenges
Reference sample SmartDesign™ scenarios for ideas
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Presenter
Presentation Notes
DAVID Proper deployment of the practices discussed in this webcast can have immediate TCO improvements – from capital benefits to amazing energy efficiency gains to ease of computing adaptations Use this checklist to assess your own data center based on the seven best practices outlined. With that, Thom, I’ll turn it back over to you.
Q & A
David Sonner,Senior Director,
Product Marketing,Liebert AC Power,
Emerson Network Power
Fred Stack,Vice President of Marketing,Liebert Precision Cooling,Emerson Network Power
Presenter
Presentation Notes
Thom: Thanks very much David and Fred. At this time, our presenters will be happy to take your questions. We can still accept your questions, which you can submit by clicking on the red Q&A button and entering your question in the chat box. Our first question comes from … (wrap up on next slide)
Thank you!
Upcoming Programs in the Critical Advantage Webcast Series
July 13 – “Critical Advantages in DCIM”
August 10 – “Improving Availability of the Critical Link Between Doctors and Data”
Presenter
Presentation Notes
We’ll need to wrap up the questions now, but Fred and David will be answering the questions we didn’t have time for today via e-mail. You can download these slides now by clicking the Resources button, at the bottom of your console. And, your colleagues can view today’s session on demand beginning Friday at www.EmersonNetworkPower.com We hope you’ll join us for future programs in the Emerson Network power Critical Advantage Series. In the meantime, I encourage you to visit EmersonNetworkPower.com for case studies, product information and white papers on the strategies you’ve seen here today. On behalf of David Sonner and Fred Stack of Emerson Network Power, I’d like to thank you again for your time and attention today. Have a great day.
