data center technology
Post on 28-Dec-2015
25 Views
Preview:
TRANSCRIPT
Data Center Technology:Physical InfrastructureIT Trends Affecting New Technologies and Energy Efficiency Imperatives in the Data Center
Hisham ElzahharRegional Enterprise & System Manager, Schneider Electric IT business EMEA, Dubai
Schneider Electric 2- Division - Name – Date
Electricity IN
Heat OUT
Keystrokes � Kilowatts
Schneider Electric 3- Division - Name – Date
US Electrical Energy Sources 2006
CoalCoal50%
Petroleum2%
Natural Gas20%
Nuclear19%
Hydro-Electric7%
Other Renew ables2%
Coal
Petroleum
Natural Gas
Nuclear
Hydro-Electric
Other Renewables
Source US EIA
Schneider Electric 4- Division - Name – Date
Prime Electrical Source
Schneider Electric 5- Division - Name – Date
WHICH infrastructure?
BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING infrastructureinfrastructureinfrastructureinfrastructure
““““Building systemsBuilding systemsBuilding systemsBuilding systems””””
HVACHVACElectrical systemElectrical systemFire suppressionFire suppression
LightingLightingSecuritySecurity
BMSBMS Servers, storageServers, storagehypervisorshypervisors , NMS, NMS
IT IT IT IT IT IT IT IT infrastructureinfrastructureinfrastructureinfrastructure
““““IT assetsIT assetsIT assetsIT assets””””Racks Racks
Management Management LightingLighting
Fire suppressionFire suppressionPhysical securityPhysical security
PowerPowerCoolingCooling
DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER infrastructureinfrastructureinfrastructureinfrastructure
NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK infrastructureinfrastructureinfrastructureinfrastructure
Switches, cabling, Switches, cabling, routersrouters
Schneider Electric 6- Division - Name – Date
IT IT IT IT IT IT IT IT infrastructureinfrastructureinfrastructureinfrastructure
Servers, storageServers, storagehypervisorshypervisors , NMS, NMS
BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING BUILDING infrastructureinfrastructureinfrastructureinfrastructure
““““Building systemsBuilding systemsBuilding systemsBuilding systems””””
HVACHVACElectrical systemElectrical systemFire suppressionFire suppression
LightingLightingSecuritySecurity
BMSBMS
““““IT assetsIT assetsIT assetsIT assets””””
WHICH infrastructure?
NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK NETWORK infrastructureinfrastructureinfrastructureinfrastructure
Switches, cabling, Switches, cabling, routersrouters
Racks Racks Management Management
LightingLightingFire suppressionFire suppressionPhysical securityPhysical security
PowerPowerCoolingCooling
DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER DATA CENTER infrastructureinfrastructureinfrastructureinfrastructure
Focus of this Focus of this Focus of this Focus of this Focus of this Focus of this Focus of this Focus of this discussiondiscussiondiscussiondiscussiondiscussiondiscussiondiscussiondiscussion
Schneider Electric 7- Division - Name – Date
Data center planning and operation is under increasing pressures
Energy and service Energy and service cost control pressurecost control pressure
Increasing availability Increasing availability expectationsexpectations
Regulatory Regulatory requirementsrequirements
Server Server consolidationconsolidation
Rapid changes in Rapid changes in IT technologyIT technology
High density High density blade server blade server power/heatpower/heat
Dynamic power Dynamic power variationvariation
UncertainUncertainlonglong --term plans for term plans for capacity or densitycapacity or density
In response, will need to change the way the In response, will need to change the way the world designs, installs, operates, manages, and world designs, installs, operates, manages, and
maintains data centersmaintains data centers
Schneider Electric 8- Division - Name – Date
Power density of IT devicesis leveling off…
20092000
The increasing power density of data centers
Management challenge:HIGH DENSITY
KW per rackKW per rack continues to increase, raising the need continues to increase, raising the need for management to keep things under controlfor management to keep things under control
… but power density of data centersdata centers
continues to increase due to “packing” of high-density devices into smaller floor footprint
Schneider Electric 9- Division - Name – Date
● High density increases the risk of unpredictable cooling● Capacity is “tight” in some places, unused and unusable
(“stranded”) in others ● High density requires informed and efficient allocation of
your expensive power/cooling resources● High density increases the need to know where new devices
can be “squeezed in” to available capacities
IT is getting boxed-in by limitations of
power and cooling infrastructure
High density is stressing power and cooling systems
Management challenge:HIGH DENSITY
Schneider Electric 10- Division - Name – Date
The Newest Challenge: EFFICIENCY
Provide power and cooling in the amount needed, when needed, and
wherewherewherewhere needed – but no more than what is required for redundancy
and safety margins
But we canBut we canBut we canBut we can’’’’t manage what we cant manage what we cant manage what we cant manage what we can’’’’t measuret measuret measuret measure
Efficiency goal:
Schneider Electric 11- Division - Name – Date
Data center
Power to
data center
Power to IT
Physical infrastructure ****
IT equipment
( )
Cabling Physical securitySwitches GeneratorLights Switchgear
****To simplify the analysis, subsystems consuming a small amount of power are not included in this discussion:
POWER
system
COOLING
system
Power toSecondarySupport
Power path
to IT
Power to IT
Power todata center
DataCenter infrastructure Efficiency
=
Datacenter Efficiency - DCiE
113
White paper
%
Schneider Electric 12- Division - Name – Date
POWER
system
POWER
system
COOLING
system
COOLING
system
Datacenter EfficiencyData Center
Physical Infrastructure
IT
Schneider Electric 13- Division - Name – Date
Power Chain Losses
DCiE @ 47%
4,930 barrels47 tons SO216 tons N2O
6,539 tons CO2
Per mW/yr
45 racks @ 10kW
1mW
Schneider Electric 14- Division - Name – Date
Inefficiencies Create Consumption
● Computing inefficiencies > More servers● Server inefficiencies > More power and cooling● Power and cooling inefficiencies > More power consumption
Inefficiencies drive both power consumption Inefficiencies drive both power consumption and material consumptionand material consumption
Schneider Electric 15- Division - Name – Date
Primary drivers of inefficiency
● Oversizing of power and cooling equipment
● Pushing cooling systems to cool densities higher than they were designed for
● Ineffective room layout● Ineffective airflow patterns● Redundancy (for availability)
● Inefficient power and cooling equipment
● Inefficient operating settings of cooling equipment
● Clogged air or water filters
● Disabled or malfunctioning cooling economizer modes
● Raised floor clogged with wires
Schneider Electric 16- Division - Name – Date
Efficiency: key reference points
● More than 50% of the power going into a typical data center goes to the power and cooling systems – NOT to the IT loads
● The typical 1MW (IT load) data center is continuously wasting about 400kW or 2,000 tons of coal per year due to poor design (DCiE = 50%, instead of best-practice 70%)
● Every kW saved in a data center saves about $1,000 per year● Every kW saved in a data center reduces carbon dioxide
emissions by 5 tons per year● Every kW saved in a data center has a carbon reduction
equivalent to eliminating about 1 car from the road.● A 1% improvement in data center infrastructure efficiency (DCiE)
corresponds to approximately 2% reduction in electrical bills
References: APC White Paper 66
Schneider Electric 17- Division - Name – Date
Power tools for The Efficient EnterprisePower tools for The Efficient EnterprisePower tools for The Efficient EnterprisePower tools for The Efficient Enterprise™™™™
Schneider Electric 18- Division - Name – Date
Power tools – The “Four Cs”
omponentsomponentsomponentsomponentsMODULAR and SCALABLE, with best-in-class EFFICIENCY
loseloseloselose----coupled coolingcoupled coolingcoupled coolingcoupled cooling™
Placement of cooling units near the heat source
ontainmentontainmentontainmentontainmentThermal containment of airflow in high-density zone s
apacityapacityapacityapacity managementmanagementmanagementmanagementInstrumented intelligence to optimize use of power and cooling capacity
1111
2222
3333
4444
Schneider Electric 19- Division - Name – Date
omponents with the “right stuff”1111
Best-in-class component EFFICIENCYEFFICIENCYEFFICIENCYEFFICIENCYEFFICIENCYEFFICIENCYEFFICIENCYEFFICIENCY
MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE MODULAR SCALABLE component design
External modularity Internal modularity
� Efficient
� Agile
� Scalable
Schneider Electric 20- Division - Name – Date
Problem: Underloading
In a traditional data center, over half the power c onsumption of the power/cooling infrastructure is fixedfixed and does not go down when IT load goes down
Low loading = low efficiencyLow loading = low efficiencyLow loading = low efficiencyLow loading = low efficiencyLow loading = low efficiencyLow loading = low efficiencyLow loading = low efficiencyLow loading = low efficiency
Efficiency degrades as IT load declines
0%
10%
20%
30%
40%
50%60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% IT Load
Effi
cien
cy
Data centerEfficiency
IT load
Typical load range
Underloading is a primary contributor to inefficienc y
Efficiency degrades at low loads
Schneider Electric 21- Division - Name – Date
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% IT Load
Effi
cien
cy
Power and cooling installation method
IT load
Efficiency gain through modular scalable Efficiency gain through modular scalable buildoutbuildout –– avoids avoids oversizingoversizing / / underloadingunderloading
Solution: Right-sizing
Data centerEfficiency
Schneider Electric 22- Division - Name – Date
Modular scalable design
● Avoid underloading ���� run more efficiently
● Pay only for what you need, when you need it
Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by Reduce power consumption up to 30% by ““““““““rightrightrightrightrightrightrightright--------sizingsizingsizingsizingsizingsizingsizingsizing””””””””
power and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructurepower and cooling infrastructure
PPPP = Power CCCC = Cooling RRRR = Racks
Schneider Electric 23- Division - Name – Date
25kW50kW75kW100kW125kW150kW175kW200kW225kW250kW275kW300kW325kW350kW375kW400kW425kW450kW
500kW of scalable, high-efficiency power protection
475kW500kW
Schneider Electric 24- Division - Name – Date
lose-coupled cooling™
● Closely couples cooling with heat load, preventing exhaust air recirculation
● Less fan power than traditional raised-floor system
● Varying equipment temperatures are constantly held to set point conditions
● Lowers operating cost by monitoring inlet temperatu res to modulate cooling capacity based on the cooling demand
Fan speed adjusts to follow changing IT heat load
Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with Reduce power consumption up to 20% with InRowInRowInRowInRowInRowInRowInRowInRow®®®®®®®®
architecturearchitecturearchitecturearchitecturearchitecturearchitecturearchitecturearchitecture
Schneider Electric 25- Division - Name – Date
Close-coupled cooling™
Cold air is supplied to the cold aisle
Cold aisleCold aisleCold aisleCold aisle
Hot aisleHot aisleHot aisleHot aisle
InRow ® air conditioner
Heat captured and rejected to chilled water
Hot-aisle air enters from rear, preventing mixing
Can operate on hard floor or raised floor
Schneider Electric 26- Division - Name – Date
Efficiency comparison
Cooling efficiency = useful cooling power / (power consumed + useful cooling power )
40%
50%
60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% IT Load
Coo
ling
Effi
cien
cy
IT loadIT loadIT loadIT load
Cooling Cooling Cooling Cooling
efficiencyefficiencyefficiencyefficiency
Schneider Electric 27- Division - Name – Date
ontainment
Hot Aisle ContainmentHot Aisle ContainmentHot Aisle ContainmentHot Aisle Containment (HAC)
Rack Air ContainmentRack Air ContainmentRack Air ContainmentRack Air Containment (RAC)
Eliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature crossEliminate expensive temperature cross--------contamination contamination contamination contamination contamination contamination contamination contamination
with thermal containment optionswith thermal containment optionswith thermal containment optionswith thermal containment optionswith thermal containment optionswith thermal containment optionswith thermal containment optionswith thermal containment options
● Simplifies analysis and understanding of the thermal environment
● Increases predictability of the cooling system
● Increases cooling EFFICIENCY and cooling CAPACITY by returning warmest possible air to cooling units
● Ensures proper air distribution by separating supply and return air paths
Schneider Electric 28- Division - Name – Date
Rack Air Containment
● Rear containment prevents hot exhaust air from escaping
● All exhaust air is returned to InRow ® cooling unit
● Optional front containmentdirects cool air to front of servers
● Allows up to 60 kW per rack (30 kW with N+1 redundancy)
Top Down ViewFrontFrontFrontFront
RearRearRearRear
InRowInRowInRowInRow
coolingunit
InRowInRowInRowInRow
cooling unit
Rear Containment
Front Containment
NetShelterNetShelterNetShelterNetShelter SX SX SX SX
rack
Schneider Electric 29- Division - Name – Date
Hot aisle containment vs traditional room cooling●Inherently higher power density capability than room designs
●Fan power is reduced by 50%
●Needless dehumidification / re-humidification is eliminated
●Need for high-bay areas and raised floors is reduced or eliminated (particularly for small installations)
●Cooling capacity can “follow”IT loads that move due to virtualization and server power management
40%
50%
60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% IT Load
Coo
ling
Effi
cien
cy
Cooling efficiency = useful cooling power / (power consumed + useful cooling power )
Schneider Electric 30- Division - Name – Date
Hot Aisle Containment areas can be added as needed
Schneider Electric 31- Division - Name – Date
apacity Management™Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable Increase IT staff efficiency with predictable
Capacity ManagementCapacity ManagementCapacity ManagementCapacity ManagementCapacity ManagementCapacity ManagementCapacity ManagementCapacity Management
● Identify over- and under-utilized areas of your data center
● Minimize waste and human error via predictable software monitoring, sensing, and environmental control
● Quickly adapt to change with real-time data on what to power and where to cool
Schneider Electric 32- Division - Name – Date
Capacity Manager™
Airflow analysisAirflow analysisAirflow analysisAirflow analysis
Locate new devices without
overheating new or existing
equipment by simulating
changes in; supply
temperature, airflow and
number of cooling units
Physical equipment Physical equipment Physical equipment Physical equipment
provisioningprovisioningprovisioningprovisioning
Quickly locate the optimum spot
for that next server based on
space, cooling, and power needs
Design analysisDesign analysisDesign analysisDesign analysis
Model the effects of and
compare alternative layouts
through detailed design
analysis
Capacity groupingCapacity groupingCapacity groupingCapacity grouping
Specify architecture
capabilities to; match IT
equipment with availability
needs ad avoid stranded
space, power and cooling
capacity
Rack elevationsRack elevationsRack elevationsRack elevations
Easy-to-use front view for
accurate and detailed
representation of equipment
layout
Available capacityAvailable capacityAvailable capacityAvailable capacity
Understand available capacity by
calculating actual space, power
and cooling consumption against
data center architecture
constraints
Schneider Electric 33- Division - Name – Date
Capacity and energy management●Poor utilization of capacity is a primary cause of inefficiency
●Software can identify available capacity (even by rack) and help prevent creation of stranded capacity
●Side effect is you can fit more IT equipment in the power and cooling “envelope” of the data center
●Energy management can identify efficiency improvement opportunities
Infrastructure Central SoftwareWith Capacity Manager
Schneider Electric 34- Division - Name – Date
0.0% 20.0% 40.0% 60.0% 80.0% 100.0% 120.0%
UPS
PDU
Generator
Switchgear
Distribution Wiring
CRAC
Heat Rejection
Pumps
Chiller
Humidifier
Lights
Aux Devices
IT Load
Power consumption as % of the IT load
0% 20% 40% 60% 80% 100% 120%
Power consumptions compared to the IT load
Improving efficiency
means working to
reduce power
consumption (increase
efficiency) for each of
these device categories
Power Consumption as % of IT Load
Reference: APC White Paper 114 Data for a typical tier 4 data center operating at 30% of rated load
Schneider Electric 35- Division - Name – Date
Drivers of infrastructure efficiency gains
IMPROVEMENT Device Gain DCiE Gain$$ saved over 15
years in a 1MW data center**
Move from room cooling to
dynamic row/rack cooling70% 8% $5,900,000
Cooling economizers 38% 4% $2,500,000
Right-sizing through modular
power and cooling equipment4% 4% $2,400,000
Higher UPS efficiency 8% 4% $1,900,000
415/240 V transformerless
power distribution (NAM)*4% 2.5% $1,500,000
Dynamic control of cooling
plant (VFD fans, pumps,
chillers)25% 2.5% $1,200,000
TOTAL to get industry
from 47% to 72% DCiE 25%25%25%25% $14,700,000
(Baseline: Average of existing installed base)
**$$ values based on $.15 per kwh electric cost, starting DCiE of 47%, ave density 8KW/rack*No benefit outside of NAM; Transformer based PDUs typically in NAM only
Schneider Electric 36- Division - Name – Date
Power Chain Losses – Could Be
DCiE @ 70%
4,930 barrels6,539 tons CO2
47 tons SO216 tons N2O
Per mW/yr
1mW
400kW
1,971 barrels2,615 tons CO2
19 tons SO26 tons N2O
Schneider Electric 37- Division - Name – Date
Tour the booth and be entered into our daily lotter yThe lucky winner to receive a brand newAmazon Kindle e-reading device right away!
Visit us
Hall 4, booth 4405(next to the BP Carbon Theater)
Schneider Electric 38- Division - Name – Date
Questions?Questions?Questions?Questions?
top related