Data Centre Cooling StrategiesData Centre Cooling StrategiesThe Changing Landscape..The Changing Landscape..

AIRAH PresentationA il 30th 2014April 30th 2014

More Connections. More Devices.More Connections. More Devices.High ExpectationsHigh ExpectationsMore Connections. More Devices.More Connections. More Devices.High ExpectationsHigh ExpectationsHigh ExpectationsHigh ExpectationsHigh ExpectationsHigh Expectations

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State of the Data Center , Emerson Network Power

RedefiningRedefining ‘Huge’‘Huge’RedefiningRedefining ‘Huge’‘Huge’Redefining  Redefining   HugeHugeRedefining  Redefining   HugeHuge

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State of the Data Center , Emerson Network Power

Failure isFailure is NotNot An OptionAn OptionFailure isFailure is NotNot An OptionAn OptionFailure is Failure is Not Not An OptionAn OptionFailure is Failure is Not Not An OptionAn Option

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State of the Data Center , Emerson Network Power

Powerful Forces Are Driving Change Powerful Forces Are Driving Change in Data Centre Infrastructurein Data Centre InfrastructurePowerful Forces Are Driving Change Powerful Forces Are Driving Change in Data Centre Infrastructurein Data Centre Infrastructurein Data Centre Infrastructurein Data Centre Infrastructurein Data Centre Infrastructurein Data Centre Infrastructure

External forces changing the 

business climate

Virtualization/Cloud

More More i hi h

Data Centre & Server 

Consolidation

business climateData Centre Modularity

Cloud

Always on Always on AvailabilityAvailability

with Lesswith Less

Interdependent apps/functions Availability Availability 

ExpectationsExpectations

IT E iIT E i

Higher density

apps/functions

Business and  technology forces  Efficiency & Efficiency & 

IT Exerting IT Exerting Greater Influence Greater Influence than Facilitiesthan Facilities

density pressing on the data 

centre

yyGreen InitiativesGreen InitiativesAlternative 

Power/Cooling Technologies

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Data Centres are Using Less Power and Cooling 

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Today’s Data Centre NeedsToday’s Data Centre NeedsToday’s Data Centre NeedsToday’s Data Centre NeedsToday s Data Centre NeedsToday s Data Centre NeedsToday s Data Centre NeedsToday s Data Centre NeedsEfficiency Protection Scalability Simplification

d i i h il bili i i i d di iCost reduction

Resource     tili ti

Higher availability, SLA assurance 

C li d

Provisioning

Permissioning

Standardization

Consistencyutilization

Spending optimization

Compliance and governance

Accuracy

Responsiveness Leverage existing tools and skill  

setsoptimization Accuracy sets

Cheaper Stronger Faster Easier

Need: a real‐time, resilient data centre that makes the future of your business possible, with;• the agility and flexibility to meet customer demands,

d t t id h• adapt to rapid changes, • operate at high efficiency and• comply with requirements for risk management and protection

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Advances in Data Center Cooling over Advances in Data Center Cooling over the Last Five Yearsthe Last Five YearsAdvances in Data Center Cooling over Advances in Data Center Cooling over the Last Five Yearsthe Last Five Yearsthe Last Five Yearsthe Last Five Yearsthe Last Five Yearsthe Last Five Years

Wider ASHRAE allo able rangeWider ASHRAE allowable rangeHot and Cold Aisle ContainmentOutside Air EconomizationEC/Variable Speed FansEC/Variable Speed FansVariable Capacity CompressorsRow based coolingIntelligent cooling controlsg g

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Thermal Management Technology to Solve Thermal Management Technology to Solve Customer NeedsCustomer NeedsThermal Management Technology to Solve Thermal Management Technology to Solve Customer NeedsCustomer NeedsCustomer NeedsCustomer NeedsCustomer NeedsCustomer Needs

Efficiency / EconomisationEfficiency / EconomisationHigher Return Air & Chilled Water Temps, Variable Capacity Aisle Control MaxEfficiency / EconomisationEfficiency / Economisation

EfficientEfficient

Variable Capacity, Aisle Control, Max Economisation Hours, New Technology

Solutions that will allow effective growth Efficient Capital/Modular/Speed

Efficient Capital/Modular/Speed

So u o s a a o effec e g oand use of Capital in Optimized Building Blocks, Lowest Max kW

SolutionsSolutionsEngineered / Optimized, Ease of Connectivity, Custom – Standard Configurations

Control/IntelligenceControl/Intelligence

o f gu a o s

From the Unit, Aisle to the Whole Data Centre Visibility and Control

A il bilitA il bilit

Centre – Visibility and Control

Systems & Controls to Measure, Monitoring h h h10 AvailabilityAvailability & Service to maintain the highest 

Availability10

Energy Efficiency Lower Operating CostsEnergy Efficiency Lower Operating CostsEnergy Efficiency Lower Operating CostsEnergy Efficiency Lower Operating CostsEnergy Efficiency, Lower Operating CostsEnergy Efficiency, Lower Operating CostsEnergy Efficiency, Lower Operating CostsEnergy Efficiency, Lower Operating Costs Technologies and approaches to reduceapproaches to reduce operational expenditures (OPEX)

Focus on operational efficiency of data center environmentcenter environment

Simple assessments help identify energy 

Energy consumption in a 

p y gyconsumption

Opportunity:typical data center

Opportunity:Reduce Cooling to under 

15% or PUE < 1.20 11

Source: Energy Logic 11

The Data Centre WorldThe Data Centre WorldThe Data Centre WorldThe Data Centre WorldThe Data Centre WorldThe Data Centre WorldThe Data Centre WorldThe Data Centre World

ASHRAE* defines differentASHRAE defines different working ranges for temperature and humidity based upon installation and technology.gyThis graph shows ASHRAE typical representation of pre-defined working envelopes.

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12 ASHRAE* – American Society of Heating, Refrigerating & Air Conditioning Engineers

The DataThe Data CentreCentre WorldWorldThe DataThe Data CentreCentre WorldWorldThe Data The Data Centre Centre WorldWorldThe Data The Data Centre Centre WorldWorldTypical Application:Legacy DC with Return

Typical Application:Current DC with Return orLegacy DC with Return

Control and High Precision on HumidityHardware:

Current DC with Return or Supply Control and

Humidity ControlHardware:

All ServersTemperature & Humidity:20°C – 25°C

All ServersTemperature & Humidity:

18°C – 27°C40% – 55% RH 5.5DP – 60% RH&15DP

Typical Application: Typical Application:Data Centre with focus on Energy Savings and enlarged limits on HumidityH d

Information and Technology Space or Office

Hardware:Enterprise servers, storage productsTemperature & Humidity:

Hardware:Volume servers, storage

products, pc, workstationsTemperature & Humidity:15

15

Temperature & Humidity:15°C – 32°C20% – 80% RH

Temperature & Humidity:10°C – 35°C

20% – 80% RH

Chilled Water Evaporative Cooling

Freecooling Chiller

Technology

Direct Expansion Freecooling Chiller with ADIAData Centre

Cooling

Warehouse Type Multi-story Building

Building Type Warehouse Type Multi story Building

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How to Achieve Data Centre Thermal How to Achieve Data Centre Thermal Management: 3 Main Cooling TechnologiesManagement: 3 Main Cooling TechnologiesHow to Achieve Data Centre Thermal How to Achieve Data Centre Thermal Management: 3 Main Cooling TechnologiesManagement: 3 Main Cooling TechnologiesManagement: 3 Main Cooling TechnologiesManagement: 3 Main Cooling TechnologiesManagement: 3 Main Cooling TechnologiesManagement: 3 Main Cooling Technologies

Configuration Indoor units with compressors connected to an outdoor condenser

T ON

Cooling Medium RefrigerantFreecooling: pumped refrigerant, indirect with water or fresh airD

IRE

CT

XPA

NS

IO

Typical Application From 10kW to 500-700kW data centre

Configuration Indoor units with heat exchange, EC Fan, valves and t l t d t F li Chill th h l

EX

controls connected to a Freecooling Chiller through large water pipes

Cooling Medium Water produced from a Freecooling chillerF li F th td it / f h i liH

ILLE

D

WAT

ER

Freecooling: From the outdoor unit / fresh air coolingTypical Application Medium and large data centre from 0.1 to 5MW module

CH W

Configuration Outdoor unit connected in the perimeter of the building and recirculating the air from and to the data centre

Cooling Medium Fresh air + vaporized waterto A

IR

AB

ATIC

17 Backup: either direct expansion or Chilled waterTypical Application Warehouse type data centre from 0.5MW upwardsA

IR

AD

IA

Direct Expansion w/PumpedDirect Expansion w/Pumped EconomiserEconomiserDirect Expansion w/PumpedDirect Expansion w/Pumped EconomiserEconomiserDirect Expansion w/Pumped Direct Expansion w/Pumped EconomiserEconomiserDirect Expansion w/Pumped Direct Expansion w/Pumped EconomiserEconomiserCondenser:  0 .1‐4 kW

Pump 1:   0‐0.6kW Pump 2:   0‐0.6 kW

EconoOD

TempSystem 1 System 2

Cond Evap Total MechMode ° C Compr Pump Compr Pump Fan Fan Power PUE

Full DX 35.0 8.9 0.0 8.9 0.0 4.1 3.5 25.4 1.24

Partial 15.6 0.0 0.4 8.9 0.0 2.4 3.5 15.2 1.15

Full 10.0 0.0 0.5 0.0 0.5 4.8 3.6 9.4 1.09

Full 5 0.0 0.6 0.0 0.6 0.5 3.6 5.3 1.05

Performance for DA125 @80% load, 35 deg C RAT

18 Evaporator:   3.2‐3.6 kW

Compressor 2:   0‐8.9 kWCompressor 1:   0‐8.9 kW

, g

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AdiabaticAdiabatic FreeCoolingFreeCooling ChillersChillersAdiabaticAdiabatic FreeCoolingFreeCooling ChillersChillersAdiabatic Adiabatic FreeCoolingFreeCooling ChillersChillersAdiabatic Adiabatic FreeCoolingFreeCooling ChillersChillersFreecooling

ADIABATIC

PAD

Adiabatic Cooling

100% C B k19 100% Compressor Back-up

Evaporative Cooling ApplicationsEvaporative Cooling ApplicationsEvaporative Cooling ApplicationsEvaporative Cooling ApplicationsEvaporative Cooling Applications Evaporative Cooling Applications Evaporative Cooling Applications Evaporative Cooling Applications

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Direct Evaporative CoolingDirect Evaporative CoolingCustomers RangeCustomers Range Where it worksWhere it worksDirect Evaporative CoolingDirect Evaporative CoolingCustomers RangeCustomers Range Where it worksWhere it worksCustomers Range Customers Range –– Where it worksWhere it worksCustomers Range Customers Range –– Where it worksWhere it works

ASHRAE RecommendedASHRAE RecommendedASHRAE RecommendedASHRAE RecommendedASHRAE Recommended ASHRAE Recommended OperationsOperations

ASHRAE Recommended ASHRAE Recommended OperationsOperations

Most data centres will implement a dew point limit

at or near the ASHRAE upper level of15oC

HyperscaleHyperscale / Aggressive / Aggressive OperationsOperations

HyperscaleHyperscale / Aggressive / Aggressive OperationsOperations

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DCIM DCIM –– Data Centre Infrastructure Data Centre Infrastructure ManagementManagementManagementManagement

SITE MANAGER

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DCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDCIM Evolution RoadmapDo it for me!Real‐time, resilient data 

center

Wh t h ld I d ?Optimized

Autonomic• Automated

policies • Auto-Response

Real‐time data center

How do I Improve?

lity What is it doing?

What should I do?

Reactive

Proactive• Real-time data

B i

• Predictive modeling

• Root cause analysisAutomated

u o espo seto events

• Self-diagnosis / healing

• Tight

Capabi

What do I have?

Reactive• Monitor / Alerts• Status / Health

views

• Basic information models

• Policies defined• Collaboration

• Automatedpolicy and exception management

• Active

integration to business processes

Basic• Little

prioritization• Tools are

isolatedFew standards

• Collaboration• Holistic tools• KPIs aligned to

objectives• Problems are

identification of cost reduction

• Avoid problem situations

• Remote data access

• Ad hoc processes

Value

• Few standards• Simple KPIs• Problems

understood

• Problems are anticipated • Limited tools

• Unclear roles• Problems not

understood23

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DCIM Intelligence Delivers Capacity Management DCIM Intelligence Delivers Capacity Management and Thermal Visualization and Moreand Thermal Visualization and MoreDCIM Intelligence Delivers Capacity Management DCIM Intelligence Delivers Capacity Management and Thermal Visualization and Moreand Thermal Visualization and Moreand Thermal Visualization and Moreand Thermal Visualization and Moreand Thermal Visualization and Moreand Thermal Visualization and MoreIntelligent sensors provide insight to optimize efficiency and capacity

– Electrical power consumption– Airflow– Gross cooling capacity (ex CW)– Delivered Net Sensible capacity– Remaining Capacity– Predictive Diagnostics

3D model of the data center showing the thermal conditions

Capacity Stack  Thermal Visualization

Produce 3D rotational view of data center floor and inventory

Thermal visualization view of front/rear of IT racks

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Thermal Management System Keys to a Thermal Management System Keys to a Successful Data Centre DesignSuccessful Data Centre DesignThermal Management System Keys to a Thermal Management System Keys to a Successful Data Centre DesignSuccessful Data Centre DesignSuccessful Data Centre DesignSuccessful Data Centre DesignSuccessful Data Centre DesignSuccessful Data Centre Design

Resiliency OPEXEfficiency

CAPEX Cost SLA Why?

Drives improved reliability in controlled supply air

Containment

Drives improved reliability in controlled supply air temperatures to the Rack

Critical Means to driver for higher return air temperatures to the cooling unit

Hi h t i t t i it iti tHigher return air temperatures increase unit capacities to lower unit count

EconomizationReduced mechanical refrigeration energy

Improved life (MTBF)Economization p ( )

Sustainable control of operating costs

Control

Adjust and optimize the cooling system to the IT load

Networking for optimization, fault tolerance and Control information sharing

Maintain operating condition (ASHRAE Guidelines)

IntelligentMeans to verify optimal performance

Anticipating / predicting critical issues that could impactIntelligent Monitoring

Anticipating / predicting critical issues that could impact reliability and costs

Planning change and growth

Time value of money, reduced waste of excess capacity25Scalable

DesignTakes advantage of latest technology as improvements come to market

Speed of deployment 2