The document discusses optimizing data center efficiency through improved cooling systems. It describes how improving cooling system efficiency can minimize the data center's PUE rating. It then outlines several critical components that can improve efficiency, such as free cooling, efficient fans and compressors, and intelligent controls. Finally, it presents a case study showing how one company optimized its data center design through modular, localized cooling units to reduce costs and improve efficiency over a conventional centralized design.

1. Optimized management
EMEA Sales Training
April 2011

2. Datacenter needs
Data Centers are a critical element
regarding service continuity and
represent one of the elements with the
highest
energy consumption within the
electrical chain.
Improving the efficiency in cooling
systems is a crucial point in order to
minimize the PUE rating of the Data
Center.
Schneider Electric - Optimized management – May 2011 2

3. Critical components for Efficiency
Chiller Free Cooling Raised Floor Supervision and Control
Schneider Electric - Optimized management – May 2011 3

4. Critical components for Efficiency
CRACs Chiller Regulation Distribution
Active Stand By Pressure Control
EC Fans Free Cooling
and Load Sharing Under the raised
Electronic Discharge Temperature
Intelligent Free Cooling Control Active Distribution
Expansion vale
Integrated
Oil Free Technology Dynamic Setpoint Monitoring
Dehumidification
Tandem
Efficient Refrigerants Master Control
Compressors
Energy Saving EC Fans Partial Load Management
Efficient
Refrigerants Tandem Compressors
Schneider Electric - Optimized management – May 2011 4

5. Integrated solution
Local Area Network for all the cooling
devices
• Adaption of the operating parameters
to meet the real needs of the system
• “tracking logic” for the current thermal
load
• Energy consumption optimization
• Critical situation management
Schneider Electric - Optimized management – May 2011 5

6. Set-point optimization
LAN connection with CRAC units
•Dynamic set-point according to the
load and operating conditions
•Energy usage optimization in all
operating conditions
•Free-cooling maximization
Schneider Electric - Optimized management – May 2011 6

7. Set-point optimization
22 °C
Chiller Water 20 °C
Temperature
6,0 18 °C
5,0 16 °C
4,0
3,0
Energy Efficiency Ratio
2,0
1.0
Minimum Medium Max
Internal Load [kW]
Schneider Electric - Optimized management – May 2011 7

8. Set-point optimization
According to the datacenter structure
different solutions can be applied
Thermal
•Modulating chillers directly connected
load
to a single CRAC
•Modulating chillers directly connected
to the CRACs Thermal
•Medium large chillers directly load
connected to the CRACs
•Chillers connected to separate areas
•Master control for the entire data Thermal
centers load
Schneider Electric - Optimized management – May 2011 8

9. Innovative Solutions for All Conditions
Continuous capacity adaption Discharge air temperature control
Outlet water temperature control
Thermal
load
Schneider Electric - Optimized management – May 2011 9

10. Innovative Solutions for All Conditions
Continuous capacity adaption Suction air temperature control
Outlet water temperature control according to the room conditions
Thermal
load
Schneider Electric - Optimized management – May 2011 10

11. Innovative Solutions for All Conditions
Step capacity adaption Suction air temperature control
Outlet water temperature control according to the room conditions
Thermal
load
Schneider Electric - Optimized management – May 2011 11

12. Master control
Management of the whole system
allows energy consumption to be
optimized and strategies of integrated
control.
Uniflair Master Control is a control and
supervision system of the perimeter
units, the Active Floor® and the chillers.
Each single element optimizes its own
operating parameters depending on the
actual load of the server.
Thermal
load
Schneider Electric - Optimized management – May 2011 12

13. Case Study – Nationwide, Newbury
Schneider Electric - Optimized management – May 2011 13

14. Conventional design
Chiller Plant Area
8 ºC
Fixed CW Supply
Temperature
20% 70% 60% 10% 20% Variation in Data
Centre Load
8 ºC
Schneider Electric - Optimized management – May 2011 14

15. Optimization System
• Modular groups of Downflow units (up
to 10 per group)
• Each modular group connected to a
dedicated FC chiller
• Each FC chiller is self contained
including pumps (1 or 2), expansion
vessel, buffer vessel* and group
controls
• Each modular group requires only
power, pipework connection, LAN
connection
• No requirement for pump controls,
pump plant room
• Installation is fast, efficient and cost
effetive
Schneider Electric - Optimized management – May 2011 15

16. Optimization System
19 oc 13 oc 14 oc
Variation in CW
Supply Temperature
Variation in Data
20% 70% 60% Centre Load
19 oc 13 oc 14 oc
Schneider Electric - Optimized management – May 2011 16

17. Optimization System
19 oc 13 oc 14 oc 19 oc 19 oc
Low Cost Build up to Max
20% 70% 60% 10% 20% Data Hall occupation
19 oc 13 oc 14 oc 19 oc 19 oc
Schneider Electric - Optimized management – May 2011 17

18. Space – risk – CAPEX
Conventional Optimized
Mechanical Plant Space 60 to 100% * 30% *
Water Leakage Potential 150,000 to 200,000 Litres 1,500 Litres
Tolerance Fault tolerant (with twin distribution Fault tolerant (dispersed
system) system)
Cost Up to 60% Less
* % of white space
Schneider Electric - Optimized management – May 2011 18

19. Space optimization
Schneider Electric - Optimized management – May 2011 19

20. Simple pipeworks and thermal inertia reduction
Schneider Electric - Optimized management – May 2011 20

21. Simple pipeworks and thermal inertia reduction
Schneider Electric - Optimized management – May 2011 21

22. Results
Cooling mode
• External temperature: 35°C
• Load variation: 100 – 250kW
Energy Efficiency
• High Energy Efficiency at low load
6,0
conditions ) 5,0
R E
E
(
+21% +12% +29%
y 4,0
c
n
e
i
c
i 3,0
f
f
E
y
g 2,0
r
e
n
E 1,0
0,0
Min load Middle load Middle load Max load
Load condition
Uniflair Integrated solution Standard control logic
Schneider Electric - Optimized management – May 2011 22

23. Results
Free-Cooling mode
• External temperature: 10°C
• Load variation: 100 – 250kW
• Free-cooling maximization 18,0
Energy Efficiency
) 16,0
R
E
+10%
E 14,0
(
y 12,0
c
n 10,0 +33%
e
i
c
i
f
f
E
8,0 +42%
y
g 6,0
r
e 4,0
n
E
2,0
0,0
Min load Middle load Middle load Max load
Load condition
Uniflair Integrated solution Standard control logic
Schneider Electric - Optimized management – May 2011 23

24. Optimized management
2011