7 Best Practices for Increasing Efficiency, Availability and Capacity. XXXX XXXXXXXX Liebert North America

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7 Best Practices for Increasing Efficiency, Availability and Capacity XXXX XXXXXXXX Liebert North America

Emerson Network Power: The global leader in enabling Business-Critical Continuity Automatic Transfer Switch Paralleling Switchgear Fire Pump Controller Surge Protection Uninterruptible Power Supplies & Batteries Cold Aisle Containment Row-Based Precision Cooling Cooling Rack Extreme-Density Precision Cooling Integrated Racks Rack Power Distribution Unit KVM Switch Monitoring Data Center Infrastructure Management Power Distribution Units UPS 2

Cost of data center downtime by category Source: 2011 National Study on Data Center Downtime 3

Top data center concerns 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 Source: Data Center Users Group Survey 4

The Emerson approach Incorporate the 7 best practices into the design and operation of your data center 5

#1: Maximize Return Air Temperature at the Cooling Units to Improve Capacity and Efficiency

Higher return air temperature equals higher capacity and efficiency 10 F higher return air temperature typically enables 30-38% better CRAC efficiency 7

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 8

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. 9

#2: Match Cooling Capacity and Airflow with IT Loads

Controlling cooling based on conditions at the server Fan Speed Control Sensor 75-80 F Variable Fan Speed 72-75 F 70-72 F Temperature Control Sensor 11

Smart Aisle cooling Server-centric Manages capacity and air volume independently Adapts to changing conditions 12

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 13

#3: Utilize Cooling Designs that Reduce Energy Consumption

Matching cooling performance to room requirements with variable capacity l Variable Capacity l Fans l Compressors l Chillers l Pumps l Cooling Towers 15

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 System Economizers Pumped refrigerant 16

The issues failures happen Fluid economizers Water usage Complexity of valve system and controls Freezing weather Transient change over Capital cost DX Glycol systems Hours of free cooling Extra coil air pressure drop Pumped refrigerant New technology Fluid economizers Humidity control Contamination Freezing coils Transient change over Cost of indirect systems 17

Cooling only PUE annualized comparisons l Pumped Refrigerant Economization ASCOP 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 Cooling PUE 18

Direct server cooling without server fans CPU 1 CPU 0 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? 19

#4: Select a Power System to Optimize Your Availability and Efficiency Needs

Four tiers of data center infrastructure availability Data Center Infrastructure Tier Description I: Basic Data Center Single path for power and cooling distribution without redundant components. II: Redundant Components III: Concurrently Maintainable IV: Fault Tolerant TIER 1 Utility Source Single path for power and cooling distribution with redundant components; N+1 with a single-wired distribution path throughout. Multiple active power distribution paths, only one path active. Redundant components. Dual bus distribution with two paths active providing distributed redundancy TIER 2 Parallel Redundant Utility Source w/ ATS & Generator TIER 3 & 4 Distributed Redundant Utility Source / Generator #1 2 nd Utility Source = Tier 4 Availability Supported 99.671% 99.741% 99.982% 99.995% UPS UPS 1 UPS 2 UPS 1 UPS 2 PDU SCC STS Load PDU PDU Load Load 21

Increasing number of UPS in N+1 system increases risk of failure 22

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% 23

Bypassing the conversion process Double Conversion Operation (VFI Mode) Bypass AC Input Static Switch Rectifier Inverter Rectifier AC Input Battery 24

A more efficient option Intelligent Eco-mode Operation (VI Mode) Bypass AC Input Rectifier AC Input Rectifier Static Switch Inverter UPS Efficiency 100.0% 90.0% 80.0% 70.0% 60.0% 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) Power Load 25

Intelligent paralleling reduces UPS energy consumption % Load 3 Units @ 25% Load Each = 91.5% Efficiency % Load 2 Units @ 38% Load = 93.5% Efficiency 26

#5: Design for Flexibility Using Scalable Architecture that Minimizes Footprints

Two-stage power distribution provides needed scalability and flexibility 28

Moving power distribution and scalability closer to the rack Modular busway, hot swappable, 100, 225 and 400 amp Modular power strip / rack PDU Modular rowbased UPS scalable in 45kW cores 29

#6: Enable Data Center Infrastructure Management and Monitoring to Improve Capacity, Efficiency and Availability

Optimizing performance with data center infrastructure management and monitoring Battery Monitors Server Control Control begins with a solid instrumentation strategy KVM Switch UPS Web Cards Cooling Control Power Meters Managed Rack PDU Temperature Sensors Leak Detection 31

Improving availability Auto track critical infrastructure systems: alerts, alarms, monitoring & control. 32

Increasing efficiency Track, measure, trend and report on key data points Temperature kw Watts Generate PUE metrics 33

Managing capacity Rack Row Room Air Power Distribution 34

#7: Utilize Local Design and Service Expertise to Extend Equipment Life, Reduce Costs and Address Your Data Center s Unique Challenges

Consulting with specialists to apply best practices and technologies Configuration support and design assistance 36

Preventive service elevates battery mean time between failure 0.45 0.40 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 Outages Per Million Hours On- Site PMs On- Site PMs with Alber Ntegrated Monitoring 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 37

Supplementing preventive maintenance with data center assessments 38

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 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 39