AIRAH Presentation April 30 th 2014

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1 Data Centre Cooling Strategies The Changing Landscape.. AIRAH Presentation April 30 th 2014

2 More Connections. More Devices. High Expectations 2 State of the Data Center, Emerson Network Power

3 Redefining Huge 3 State of the Data Center, Emerson Network Power

4 Failure is Not An Option 4 State of the Data Center, Emerson Network Power

5 Powerful Forces Are Driving Change in Data Centre Infrastructure Virtualization/ Cloud Data Centre & Server Consolidation Data Centre Modularity More with ih Less External forces changing the business climate Interdependent apps/functions Always on Availability Expectations Business and technology forces pressing on the data centre Higher density Alternative Power/Cooling Technologies IT Exerting Greater Influence than Facilities Efficiency & Green Initiatives 5 Data Centres are Using Less Power and Cooling 5

6 Today s Data Centre Needs Efficiency Protection Scalability Simplification Cost reduction Higher ih availability, Provisioning ii i Standardization di i Resource SLA assurance Permissioning Consistency utilization Spending optimization Compliance and governance Accuracy Responsiveness Leverage existing tools and skill 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, adapt tto rapid changes, operate at high efficiency and comply with requirements for risk management and protection 7 7

7 Advances in Data Center Cooling over the Last Five Years Wider ASHRAE allowable able range Hot and Cold Aisle Containment Outside Air Economization EC/Variable Speed Fans Variable Capacity Compressors Row based cooling Intelligent g cooling controls 8 8

8 Thermal Management Technology to Solve Customer Needs Efficiency / Economisation Efficient Capital/Modular/Speed Solutions Control/Intelligence 10 Availability Higher Return Air & Chilled Water Temps, Variable Capacity, Aisle Control, Max Economisation Hours, New Technology Solutions o that will allow ao effective e growth go and use of Capital in Optimized Building Blocks, Lowest Max kw Engineered / Optimized, Ease of Connectivity, Custom Standard Configurations fgu o From the Unit, Aisle to the Whole Data Centre Visibility and Control Systems & Controls to Measure, Monitoring & Service to maintain the highest h Availability 10

9 Energy Efficiency, Lower Operating Costs Technologies and approaches to reduce operational expenditures (OPEX) Focus on operational efficiency of data center environment Simple assessments help identify energy consumption 11 Opportunity: Reduce Cooling to under 15% or PUE < 1.20 Energy consumption in a typical data center Source: Energy Logic 11

10 The Data Centre World ASHRAE* defines different working ranges for temperature and humidity based upon installation and technology. This graph shows ASHRAE typical representation of predefined working envelopes ASHRAE* American Society of Heating, Refrigerating & Air Conditioning Engineers

11 The Data Centre World Typical Application: Typical Application: Legacy DC with Return Current DC with Return or Control and High Precision Supply Control and on Humidity Humidity Control Hardware: Hardware: All Servers All Servers Temperature & Humidity: Temperature & Humidity: 20 C 25 C 18 C 27 C 40% 55% RH 5.5DP 60% RH&15DP Typical Application: Data Centre with focus on Energy Savings and enlarged limits on Humidity Typical Application: Information and Technology Space or Office Hardware: Enterprise servers, storage products Hardware: Volume servers, storage products, pc, workstations Temperature & Humidity: 15 C 32 C 20% 80% RH Temperature & Humidity: 10 C 35 C 20% 80% RH

12 Chilled Water Evaporative Cooling Technology Direct Expansion Warehouse Type Data Centre Cooling Building Type Freecooling Chiller with ADIA Multi-story Building 16

13 How to Achieve Data Centre Thermal Management: 3 Main Cooling Technologies DIRECT EX XPANSIO ON CH HILLED WATER Configuration Cooling Medium Typical Application Configuration Cooling Medium Typical Application Indoor units with compressors connected to an outdoor condenser Refrigerant Freecooling: pumped refrigerant, indirect with water or fresh air From 10kW to kW data centre Indoor units with heat exchange, EC Fan, valves and controls connected to a Freecooling Chiller through h large water pipes Water produced from a Freecooling chiller Freecooling: From the outdoor unit / fresh air cooling Medium and large data centre from 0.1 to 5MW module AIR to AIR ADIA ABATIC Configuration Cooling Medium Outdoor unit connected in the perimeter of the building and recirculating the air from and to the data centre Fresh air + vaporized water 17 Backup: either direct expansion or Chilled water Typical Application Warehouse type data centre from 0.5MW upwards

14 Direct Expansion w/pumped Economiser Condenser: kw Pump 1: 0 0.6kW Pump 2: kw OD System 1 System 2 Econo Temp Cond Evap Total Mech Mode C Compr Pump Compr Pump Fan Fan Power PUE Full DX Partial Full Full Evaporator: kw Performance for 80% load, 35 deg C RAT Compressor 1: kw Compressor 2: kw 18

15 Adiabatic FreeCooling Chillers Freecooling ADIABATIC PAD Adiabatic Cooling % Compressor Back-up

16 Evaporative Cooling Applications 20 20

17 Direct Evaporative Cooling Customers Range Where it works ASHRAE Recommended Operations Most data centres will implement a dew point limit at or near the ASHRAE upper level of15 o C Hyperscale / Aggressive Operations 21 21

18 DCIM Data Centre Infrastructure Management SITE MANAGER 22 22

19 DCIM Evolution Roadmap 23 lity Capabi Real time data center What do I have? Basic Remote data access Ad hoc processes Limited tools Unclear roles Problems not understood What is it doing? Reactive Monitor / Alerts Status / Health views Little prioritization Tools are isolated Few standards Simple KPIs Problems understood What should ldi do? Proactive Real-time data Basic information models Policies defined Collaboration Holistic tools KPIs aligned to objectives Problems are anticipated Value Real time, resilient data center How do I Improve? Optimized Predictive modeling Root cause analysis Automated policy and exception management Active identification of cost reduction Avoid problem situations Do it for me! Autonomic Automated policies Auto-Response uo se to events Self-diagnosis / healing Tight integration to business processes 23

20 DCIM Intelligence Delivers Capacity Management and Thermal Visualization and More Intelligent sensors provide insight to optimize efficiency and capacity Capacity Stack Electrical power consumption Airflow Gross cooling capacity (ex CW) Delivered Net Sensible capacity Remaining Capacity Predictive Diagnostics Thermal Visualization 3D model of the data center showing the thermal conditions Produce 3D rotational view of data center floor and inventory Thermal visualization view of front/rear of IT racks 24 24

21 Thermal Management System Keys to a Successful Data Centre Design Resiliency OPEX Efficiency CAPEX Cost SLA Why? Drives improved reliability in controlled supply air temperatures to the Rack Containment Critical Means to driver for higher return air temperatures to the cooling unit Higher return air temperatures t increase unit capacities to lower unit count Reduced mechanical refrigeration energy Economization Improved life (MTBF) Control Intelligent Monitoring 25 Scalable Design Sustainable control of operating costs Adjust and optimize the cooling system to the IT load Networking for optimization, fault tolerance and information sharing Maintain operating condition (ASHRAE Guidelines) Means to verify optimal performance Anticipating / predicting critical issues that could impact reliability and costs Planning change and growth Time value of money, reduced waste of excess capacity Takes advantage of latest technology as improvements come to market Speed of deployment 2

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