APAC/Uniflair Datacenter chiller plant control
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Transcript of APAC/Uniflair Datacenter chiller plant control
Optimized management
EMEA Sales Training
April 2011
Schneider Electric - Optimized management – May 2011 2
Datacenter needs
Data Centers are a critical element regarding service continuity and represent one of the elements with the highestenergy 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 3
Chiller Free Cooling Raised Floor Supervision and Control
Critical components for Efficiency
Schneider Electric - Optimized management – May 2011 4
CRACs Chiller Regulation Distribution
EC Fans Free Cooling Active Stand By and Load Sharing
Pressure Control Under the raised
Intelligent Free Cooling Discharge Temperature
Control Active Distribution
Integrated Dehumidification
Oil Free Technology Dynamic Setpoint Monitoring
Tandem Compressors Efficient Refrigerants Master Control
Energy Saving EC Fans Partial Load ManagementEfficient
Refrigerants Tandem Compressors
Electronic Expansion vale
Critical components for Efficiency
Schneider Electric - Optimized management – May 2011 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 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
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1.0
2,0
3,0
4,0
5,0
6,0
Energy Efficiency Ratio
Minimum Medium Max
16 °C
18 °C
20 °C
22 °C
Chiller WaterTemperature
Internal Load [kW]
Set-point optimization
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Set-point optimization
According to the datacenter structure different solutions can be applied
•Modulating chillers directly connected to a single CRAC•Modulating chillers directly connected to the CRACs•Medium large chillers directly connected to the CRACs•Chillers connected to separate areas•Master control for the entire data centers
Thermal load
Thermal load
Thermal load
Schneider Electric - Optimized management – May 2011 9
Innovative Solutions for All Conditions
Continuous capacity adaptionOutlet water temperature control
Discharge air temperature control
Thermal load
Schneider Electric - Optimized management – May 2011 10
Innovative Solutions for All Conditions
Continuous capacity adaptionOutlet water temperature control
Suction air temperature control according to the room conditions
Thermal load
Schneider Electric - Optimized management – May 2011 11
Innovative Solutions for All Conditions
Step capacity adaptionOutlet water temperature control
Suction air temperature control according to the room conditions
Thermal load
Schneider Electric - Optimized management – May 2011 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
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Case Study – Nationwide, Newbury
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20% 70% 60% 10% 20%
8 ºC
Chiller Plant Area
Fixed CW Supply Temperature
Variation in Data Centre Load
8 ºC
Conventional design
Schneider Electric - Optimized management – May 2011 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
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20% 70% 60%
19 oc 13 oc 14 oc
19 oc 13 oc 14 oc
Variation in CW Supply Temperature
Variation in Data Centre Load
Optimization System
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20% 70% 60% 10% 20%
19 oc 13 oc 14 oc 19 oc
19 oc 13 oc 14 oc 19 oc
19 oc
19 oc
Low Cost Build up to Max Data Hall occupation
Optimization System
Schneider Electric - Optimized management – May 2011 18
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 system)
Fault tolerant (dispersed system)
Cost Up to 60% Less
* % of white space
Conventional Optimized
Space – risk – CAPEX
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Space optimization
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Simple pipeworks and thermal inertia reduction
Schneider Electric - Optimized management – May 2011 21
Simple pipeworks and thermal inertia reduction
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0,0
1,0
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6,0
Min load Middle load Middle load Max load
Ener
gy E
ffici
ency
(EE
R)
Load condition
Uniflair Integrated solution Standard control logic
+21%+21% +12%+12% +29%+29%
Energy Efficiency
Results
Cooling mode• External temperature: 35°C• Load variation: 100 – 250kW• High Energy Efficiency at low load
conditions
Schneider Electric - Optimized management – May 2011 23
0,02,04,06,08,0
10,012,014,016,018,0
Min load Middle load Middle load Max load
Ener
gy E
ffici
ency
(EE
R)
Load condition
Uniflair Integrated solution Standard control logic
+33%+33%
+10%+10%
+42%+42%
Energy Efficiency
Results
Free-Cooling mode• External temperature: 10°C• Load variation: 100 – 250kW• Free-cooling maximization
Optimized management
2011