7 best practices for increasing efficiency, availability
TRANSCRIPT
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7 Best Practices for Increasing Efficiency, Availability and Capacity XXXX XXXXXXXX Liebert North America
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Automatic Transfer Switch
Paralleling Switchgear
Uninterruptible Power Supplies & Batteries
Fire Pump Controller
Surge Protection
Extreme-Density Precision Cooling
Power Distribution Units Data Center Infrastructure Management
Integrated Racks
Cooling
Rack Rack Power
Distribution Unit
KVM Switch
UPS
Monitoring
Cold Aisle Containment
Row-Based Precision Cooling
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Emerson Network Power: The global leader in enabling Business-Critical Continuity
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Source: 2011 National Study on Data Center Downtime
Cost of data center downtime by category
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Top data center concerns
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Source: Data Center Users’ Group Survey
Spring 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
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The Emerson approach
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Incorporate the 7 best practices into the design and operation of your data center
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#1: Maximize Return Air Temperature at the Cooling Units to
Improve Capacity and Efficiency
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10°F higher return air temperature typically
enables 30-38% better CRAC efficiency
Higher return air temperature equals higher capacity and efficiency
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Hot-aisle/cold-aisle arrangement creates the opportunity to further increase cooling unit capacity by containing the cold aisle
Optimizing efficiency and capacity through containment
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Refrigerant-based cooling modules mounted above or alongside the rack increase efficiency and allow cooling capacity to be matched to IT load.
Supplemental capacity through sensible cooling
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#2: Match Cooling Capacity and Airflow with IT Loads
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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
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Smart Aisle cooling
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• Server-centric • Manages capacity and air volume independently • Adapts to changing conditions
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Global cooling controls enhance efficiency l Advanced energy saving
control algorithms for multiple applications – Supply temperature control – Underfloor pressure control – Smart Aisle control
l Teamwork modes – Stops fighting – Enhances redundancy
l Standby / Lead-Lag unit rotation
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#3: Utilize Cooling Designs that Reduce Energy Consumption
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Matching cooling performance to room requirements with variable capacity l Variable Capacity l Fans l Compressors l Chillers l Pumps l Cooling Towers
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Types of economizers
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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 System Economizers
• Pumped refrigerant
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The issues– failures happen
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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
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Cooling only PUE annualized comparisons l Pumped Refrigerant Economization
ASCOP Cooling PUE
– Houston 5.89 1.17 – San Francisco 7.91 1.13 – Columbus, Ohio 8.05 1.12 – Chicago 8.32 1.12 – New York 7.64 1.13 – Atlanta 6.62 1.15
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CPU
0
CPU
1
Direct server cooling without server fans
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• Cooling to the chip with “cold plates”
• 1U server modified with no fans
• Pumped refrigerant fluid cooled
• Performance tested by LBNL • Efficiency benefit
• No chiller required for many locations
• Total energy consumed less than energy of the IT fans removed
• Is that a PUE of <1?
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#4: Select a Power System to Optimize Your Availability and
Efficiency Needs
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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%
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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 & 4 Distributed Redundant
UPS 1
STS
Load
2nd Utility Source = Tier 4
Utility Source / Generator #1
UPS 2
PDU
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Increasing number of UPS in N+1 system increases risk of failure
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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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Double Conversion Operation (VFI Mode)
Bypass AC Input
Rectifier AC Input
Rectifier Inverter
Static Switch
Battery
Bypassing the conversion process
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Intelligent 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)
A more efficient option
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3 Units @ 25% Load Each = 91.5% Efficiency
2 Units @ 38% Load = 93.5% Efficiency
% L
oad
% L
oad
Intelligent paralleling reduces UPS energy consumption
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#5: Design for Flexibility Using Scalable Architecture that
Minimizes Footprints
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Two-stage power distribution provides needed scalability and flexibility
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Modular busway, hot swappable, 100, 225 and
400 amp
Modular row-based UPS scalable in 45kW cores
Modular power strip / rack PDU
Moving power distribution and scalability closer to the rack
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#6: Enable Data Center Infrastructure Management and Monitoring to Improve Capacity,
Efficiency and Availability
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Power Meters
Battery Monitors
UPS Web Cards
Cooling Control
Temperature Sensors
Server Control
Managed Rack PDU
KVM Switch
Leak Detection
Optimizing performance with data center infrastructure management and monitoring
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Control begins with a solid
instrumentation strategy
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Auto track critical infrastructure systems: alerts, alarms, monitoring & control.
Improving availability
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Increasing efficiency
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• Track, measure, trend and report on key data points • Temperature • kW • Watts
• Generate PUE metrics
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• Rack • Row • Room
• Air • Power • Distribution
Managing capacity
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#7: Utilize Local Design and Service Expertise to Extend Equipment Life,
Reduce Costs and Address Your Data Center’s Unique Challenges
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Consulting with specialists to apply best practices and technologies
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Configuration support and design assistance
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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
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Battery maintenance and no monitoring experience low reliability
Monitoring experience significantly longer runtime before a failure
Remote monitoring have experienced no outages due to bad batteries
– 1.6 million run hours!
Study based on batteries under contract prior to the end of their expected service life
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Supplementing preventive maintenance with data center assessments
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1. Maximize the return air temperature at the cooling units to improve capacity and efficiency
2. Match cooling capacity and airflow with IT Loads 3. Utilize cooling designs that reduce energy consumption 4. Select a power system to optimize your availability and efficiency
needs 5. Design for flexibility using scalable architecture that minimizes
footprints 6. Enable data center infrastructure management and monitoring to
improve capacity, efficiency and availability 7. Utilize local design and service expertise to extend equipment life,
reduce costs and address your data center’s unique challenges
White Paper: Seven Best Practices for Increasing Efficiency, Availability and
Capacity: The Enterprise Data Center Design Guide
Apply These Best Practices For Optimal Performance
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