Schneider Electric Cooling Portfolio
Jim Tubbesing – Heath Wilson
APC/Schneider North Texas Rep
Tubbesing Solutions
Schneider Electric 2
Data Center Cooling Agenda
1. How to size data center, server rooms, IDF
rooms, etc in 2015?
2. Changing Demand and how does that effect data
center cooling: servers no longer are constant
load, they are dynamic and therefore we need
dynamic cooling to support the load
3. Different Technologies to solve ever changing
loads
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Calculating Cooling Requirements 1. IT Equipment (70-80%)
1. Rack loads
2. Non-rack loads
2. UPS & Power Distribution (10-15%)
3. Lighting (10%)
4. People (2%)
BUT…………calculating just the heat load
does not solve the entire equation
You must know the CFM at different loads
SEC Server Room Equipment List
Location Division Status Chassis / Type BrandModel/Type
Power (kW)
Frisco ME Active PowerEdge Server Dell R410 417
Frisco ME Active PowerEdge Server Dell R410 417
Frisco ME Active PowerEdge Server Dell R610 435
Frisco ME Active PowerEdge Server Dell R710 474
Frisco ME Active PowerEdge Server Dell R710 474
Frisco ME Active PowerEdge Server Dell R710 474
Frisco ME Active PowerEdge Server Dell R520 366
Frisco ME Active PowerEdge Server Dell R420 303
Frisco ME Active PowerEdge Server Dell R420 303
Frisco ME Active PowerEdge Server Dell R720 608
Frisco ME Active PowerEdge Server Dell R720 608
Frisco ME Active PowerEdge Server Dell R720 608
Frisco ME Active PowerVault StorageArray Dell MD3200 298
Frisco ME Active PowerVault StorageArray Dell MD3200 298
Frisco ME Active KACE KBOX K1100 Dell K1100 257
Frisco ME Active KACE KBOX K2100 Dell K2100 257
Frisco ME Active Network Switch Cisco 3750X 750
Frisco ME Active Network Switch Cisco 3750X 750
Frisco ME Active Network Switch Cisco 2960G 370
Frisco ME Active Network Switch Cisco 2960G 370
Frisco ME Active Network Switch Cisco 2960G 370
Frisco ME Active Network Switch Cisco 3750G 147
Frisco ME Active Network Switch Cisco 2960G 370
Frisco ME Active Network Switch Cisco 2960G 370
Frisco ME Active Network Switch Cisco 2960S 370
Frisco ME Active Network Switch Cisco 2960X 370
Frisco ME Active Network Switch Cisco 2960S 370
Frisco ME Active Router Cisco 1800 45
Frisco ME Active Router Cisco 2911 210
Frisco ME Active Router Cisco 2921 210
Frisco ME Active FirewallBarracuda
X300 450
Total 12119
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Calculating Cooling Requirements
1. Below is a graph with different cfm for different types of equipment
12
10
8
6
4
2
0
0 100 200 300 400 500 600 700 800 900 1000
RackPower(kW)
Effective Cool Airflow Delivered to a Single Rack (cfm) (l/s)
0 47 94 142 189 236 283 330 378 425 472
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Data Center Cooling Challenges
High Density Rack power densities of up to 50kW
or more per rack thermally challenge traditional data
centers that were designed for an average of 3kW
per rack
Changing Demand Data center lifetime will span
refresh cycles involving unknown load and therefore
heat profiles
Dynamic Loads Virtualization and dynamic servers
can cause roaming hot spots
Changing 20+ years of conventional thinking. Only one way to cool the data center
1
2
3
4
LoadLoad
CapacityPower/cooling
LoadVirtualized Load
LoadOriginal
LoadOriginal
LoadVirtualized
LoadVirtualized
LoadLoadLoad
Virtualized
LoadVirtualized
LoadVirtualized
LoadVirtualized
Scale DOWN Scale UP
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Cooling Solutions: System Performance Characteristics
Scalable solutions capable of handling IT equipment heat loads from 1
to 50 kW per rack
Intelligent monitoring and dynamic controls system to adjust to
fluctuating IT heat loads and airflow requirements
Efficiently address data center cooling needs through the
implementation of a hybrid architecture
Minimize TCO through variable fan technology and right-sized
components
Heat removal at the source to eliminate mixing and ensure uniform inlet
temperatures to the rack
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Raised Floor Architecture for Air
Distribution
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Legacy Architecture – Raised FloorH
OT
A
IR
HO
T A
IR
COLD AIR/
PERFORATED TILES
COLD AIR/
PERFORATED TILES
COLD AIR/
PERFORATED TILES
Redundant Cooling
Design Parameters:
● 4kW per rack / 40 racks total
● Total power 160kW
● Room size: 38' x 38' x 14' high
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Sectional Plane @ 5’-6” from Raised Floor
Redundancy:
● Initial temperature gradient
diagram shows all 5 CRAC
units on
Legacy Architecture - CFD
● Any unit failure results in
loss of cooling to an area
● N+1 at room level does not
always provide adequate
cooling in failure modes
Redundant & Predictable Cooling
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New Cooling Architecture
Capable of handling high density racks
Fundamentally not require a raised floor
Modular
Simple to design
Predictable
Quick to deploy
High efficiency
• Delivering cold air is not the problem. Getting rid of the hot
air is!
• Preventing hot air recirculation into equipment inlets
prevents the servers from over heating.
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Drivers for Development of
HACS/CACS
The drivers are:
• High energy costs
• Accelerated energy consumption rates
The separation of hot and cold air
“is one of the most promising energy-efficiency measures available
to new and legacy data centers today.”Bruce Myatt of EYP Mission Critical
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Benefits of Containment
The Efficiency Benefits
• Cooling systems set to a higher supply temperature while still supplying the load with safe operating temperatures
• The elimination of hot spots
• Increased economizer hours
• Reduced humidification/dehumidification costs
• Better overall physical infrastructure utilization
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Cold-Aisle Containment
Cold-aisle containmentsystem (CACS) deployedwith a room-basedcooling approach
A “homegrown”cold-aisle containmentsystem
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Hot-aisle containmentsystem (HACS) deployedwith row-based cooling
Example of a hot-aisle containment system operating as an independent zone
Hot-aisle containmentsystem ducted to aremote air conditioner
Hot-Aisle Containment
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Containment’s Effect on Work Environment
CR
AH
CR
AH
CR
AH
CR
AH
Cold aisle containment Cold aisle containment
Cold aisle containment Cold aisle containment
Tape
library
Storage
CR
AH
CR
AH
Hot aisle containment
Hot aisle containment
Hot aisle containment
Hot aisle containment
CR
AH
CR
AH
Hot-Aisle Containment
Uncontained Work area becomes hot aisle
Cold-Aisle Containment
Tape
library
Storage
Uncontained work area becomes cold aisle
Non-racked equipment
ingesting air at same temperature
as servers
Non-racked equipment
ingesting higher temperature air
With cold-aisle containment, the uncontained area
becomes the same temperature as the
Hot Aisle
With hot-aisle containment, the uncontained area
becomes the same temperature as the
Cold Aisle
With CACS, high temperatures can be problematic
for IT personnel stationed in the
data center
With HACS, high temperatures
stay confined to thehot aisle and do not affect IT personnel
stationed in the data center
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Predictable Cooling – Eliminate Mixing
● Traditional Approaches Allow cold
and hot air streams to mix
Cooling
Units
● Close Coupling of Row Cooling
keeps the hot air in the hot aisle
Cooling
Units
Target the Heat to
Eliminate Hot Spots which can
cause servers to overheat
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Predictable Cooling – Intelligent Control
Active Response Controls Increase Availability by
Actively Responding to thermal Changes
Temperatures change entering
IT Equipment
InRow temperature probes
Sense changes and send signal
to controller
Controller adjusts cooling capacity
to balance with the heat load
Active Response Controls ensures
IT equipment is kept at the proper
temperature
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Close Coupled Cooling – 30% More Efficient
Component
Power
Units
Fans 30.6 88.0 kW
Chilled Water
Pump
10.2 11.0 kW
Chiller 83.9 94.7 kW
Cooling Tower
Pump
18.5 18.5 kW
Cooling Tower 16.2 18.3 kW
Total Power 159.3 230.5 kW
Efficiency
Metric
0.21 0.31
Annual
Operating Cost
139,572 201,887 $ USD
InRow Air
HandlerComputer
Room Air Handler
65 %
7 %
11 %
Assumptions:
• 750 kW IT Load
• All Systems at 100%
• Sensible Cooling Load Only
11 %
-
Energy Efficient Cooling for Data Centers: A Close-Coupled Row Solution
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Flexible - Install in any IT Environment
Existing
Data Center(Brown Field)
New
Data Center(Green Field)
With APC Racks Without APC Racks
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Energy Efficient – Variable Capacity Control
Component
Power Units
Fans (750 kW IT Load)
30.6 88.0 kW
InRow
Air
Handler
Computer Room
Air Handler
Constant
Speed
Fans
Variable
Speed
Fans
Fans(600 kW IT Load)
18.4 88.0 kW
SAVINGS 12.2 0 kW
Reduces Load on Chiller
40 % Reduction
Fan Power
IT Load (kW)
Fan Power (%)
20%
Variable Cooling Capacity
Follows The IT Load
750 kW Data Center Example – Operating at 80%
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Conclusion – HACS vs. CACS
• The key to efficient cooling strategies is the prevention of hot and cold air mixing
• Both HACS and CACS offer improved power density and efficiency when compared with traditional cooling approaches
• HACS is more efficient than a CACS
• HACS can save 43% in annual cooling system energy cost with a 15% reduction in annualized PUE compared to CACS while holding the uncontained data center area to 24°C/75°F
• HACS should be the default containment strategy for all new data center designs
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Schneider Cooling Offering
Room
•Uniflair CRAH/CRAC
• InRow Self-Contained
•Room Air Distribution
•Air Removal Units
•Rack Air Distribution
• InRow Chilled Water
• InRow DX
•Pumped Refrigerant
•Thermal Containment
•EcoBreeze
•Chillers
•Heat Rejection
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Thermal Containment
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Traditional Cooling
● Best-In-Class efficiency
● Standard Features
● Electronically Commutated (EC)
fans
● Low coil impedance
● High Sensible Heat Ratio (SHR)
● Fan speed optimization
● Active stand-by mode
● 60-70% power reduction compared
to legacy CRAH/CRAC units
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The Uniflair Difference
High efficiency in all operating conditions
Optimized air flow management
Compatibility with high-density cooling solutions
Compact dimensions
Innovative solutions
Maximum reliability
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Features & Benefits
Availability Dehumidification operates without reduction in airflow
DDC modulation of 2 or 3-way CW valve for capacity control
Total Cost of Ownership Fans controlled to minimum speed required to achieve
target cooling
EC fans higher efficiency than even VFD driven fans
Compact dimensions minimize cooling footprint in IT space
Serviceability Front panels can be opened without special tools
Normal maintenance requires front access only
Push-button electrical panel catch opens without airflow
disruption
Flexibility Available in upflow and downflow with multiple airflow options
Adaptive controls for various types of installation
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Immersed Electrode Humidifier (Carel)
Backward Curved EC Fans (EBM Pabst)
30% Efficiency Air Filters (MERV 7)
Temperature and Humidity Sensor (Carel)
Microprocessor Controller (Carel)
Manual Disconnect Switch (Schneider
Electric)
User Interface (Carel)
Cooling Coil (Heatcraft/Luvata)
2 or 3-Way Valve & Actuator (Schneider
Electric)
Integrated Airflow Switches
Front Service Access
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2
3
4
5
6
7
8
9
10
11
1
2
3
4
56
7
8
9
10
11
Pictured: TDCV2500 (25-Ton est. capabity)
Efficient - Components
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Summary
1. Sizing, need to ask for the server information,
not just the watt load. Call TSC if you need help.
2. As data centers continue to evolve, new
technology is going to be needed to insure the
most effiecent solution is created.
3. Remember, APC has all the different
technologies to solve these issues.