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Matt Warner Future Facilities

Proactive Airflow Management in Data Centre Operation. - using CFD simulation to improve resilience, energy efficiency and utilisation. Matt Warner Future Facilities. Design Intent. Design Capacity. 100 %. Design intent. Utilisation. Time. Mid life. Expected end of life.

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Matt Warner Future Facilities

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  1. Proactive Airflow Management in Data Centre Operation - using CFD simulation to improve resilience, energy efficiency and utilisation Matt Warner Future Facilities

  2. Design Intent Design Capacity • 100 % Design intent Utilisation Time • Mid life • Expected end of life

  3. Operational Reality… • 100 % Stranded Capacity • 65 % Typical Operation Design intent Utilisation Lost Lifespan Time • Mid life • Expected end of life “The biggest challenge for 80%+ of Owner/Operators is obtaining the right balance between Space, Power and Cooling.” Gartner

  4. The Physics of Cooling through the Data Centre Supply Chain Chip Manufacturer IT Deployment Device Manufacturer Data Centre Manager Lack of communication between the equipment suppliers and the Data Centre industry causes inefficiency in operation.

  5. Efficient Data Centre Management is all about Airflow Management Equipment exhaust to ACU Grilles to equipment inlets ACU to floor grilles

  6. Typical changes in a Data Centre Infrastructure Cabinets IT Equipment

  7. Introducing the Virtual Facility Infrastructure Cabinets IT Equipment The Virtual Facility The Virtual Facility enables the data centre designer and operator to understand the consequence of any physical change before committing to it.

  8. What is the Virtual Facility? The Virtual Facility is a full 3D mathematical representation of the data center that simulates and visualises the physical impact of any change in the data centre.

  9. Resilience at cabinet level Data centre management often monitor temperatures and react to the problems. 1. Restack supply temperature 15oC max inlet temperatures19oC expensive IT operation 2. Turn down ACU set points 4oC supply temperature 11oC max inlet temperatures28oC higher energy costs supply temperature 15oC max inlet temperatures 32 oC 3. Block gap under cabinet supply temperature 15oC max inlet temperatures16oC The Virtual Facility illustrates 3 ways of achieving resilience: Cheap and simple: brush or foam

  10. Resilience at cabinet level • Problem: • Each IT device has its own airflow and heat characteristics. • Each IT device has the potential to effect the resilience of every other device in the rack. • Therefore the stacking of the IT Equipment determines resilience. • Symptom: • Some rack configurations will cause IT Equipment to overheat. • Reaction: • A typical reaction to overheating IT devices is to reduce the cooling set points in the area of the devices. • This reduces the efficiency of ACUs and reduces cooling capacity. • Solution: • A simpler and cheaper solution can usually be found using simulation to visualise internal cabinet problems and test potential fixes… • but the ideal solution is to be pro-active and simulate the deployment and avoid any problems and the knock-on energy costs

  11. Resilience at room level –Deploying IT devices in a room • Scenario: Small room at 65% capacity, space needs to be allocated for two Sun SPARC Enterprise M5000 servers: • 10U • 3738W (nameplate) • 4x power supplies • 2x RJ45 LAN ports (+ 1 management port?) • 283 l/s • After checking available Space, Power, Networking and rack inlet temperatures there are at least 3 options: • Option 1 Like for Like: Install one in each of • the two racks that already have • Sun M5000s installed. • Option 2 Mix server types: Install one in • each of the server racks with • the most available space. • Option 3 Install both in the empty rack in • the row allocated to blades

  12. Resilience at room level – Laying out cabinets in a group Different designs, different technologies, different power densities, different cooling requirements disrupt airflow and lead to hotspots… Same equipment, 2 layouts: one layout is resilient  Servers another layout overheats  Switch Storage

  13. Resilience at room level • Problem: • Each IT device has its own airflow and heat characteristics. • Each IT device has the potential to effect the resilience of every other device in the room. • Therefore the physical configuration of the IT Equipment determines resilience. • Symptom: • Some configurations of the IT Equipment will cause hot-spots. • Reaction: • A typical reaction to thermal hot-spots is to reduce the cooling set points for the entire room. • This reduces the efficiency of ACUs and increases energy costs of chiller units. • Solution: • The ideal solution is to be pro-active and simulate cabinet deployments and avoid any problems and the knock-on energy costs

  14. Thermal Resilience and Efficiency • The purpose of a data centre is to provide space, power, cooling and networking for every IT device. • The challenge is to provide these in the most energy efficient manner without giving up the required resilience. • To reduce energy costs of cooling, air temperatures in the data halls must be raised. • Hotspots at rack or room level will prevent air temperatures being raised (and in practice often lowers them compared to the design). • Data centres typically supply air at about 15°C • IT devices are typically resilient to 30°C • There are many hotspots caused by poor airflow management that are masked by low supply air temperatures. • These must be fixed before air temperatures can be raised.

  15. Maximising utilisation of the data centre • 100 % 80kW 80kW Utilization 60kW Time 60kW The original design assumes hot aisle cold aisle and front to back breathing equipment with 2 medium density zones and 1 higher density zone. Total 200kW

  16. Maximising utilisation of the data centre • 100 % 45% Stranded Capacity 80kW 80kW • 55 % Utilization Lost Lifespan 10kW 60kW Time 60kW 20kW The original design assumes hot aisle cold aisle and front to back breathing equipment with 2 medium density zones and 1 higher density zone. Option 1 is to locate the new cabinets in one end of the room. Total 200kW 110kW but after 55% power load hotspots will start to develop.

  17. Maximising utilisation of the data centre The original design assumes hot aisle cold aisle and front to back breathing equipment with 2 medium density zones and 1 higher density zone. 60kW 35kW Option 2 is to locate the new cabinets in the centre of the room. 80kW but after 75% power load hotspots will start to develop. 35kW 60kW • 100 % 25% Stranded Capacity • 75 % Lost Lifespan Utilization Total 200kW 110kW Time

  18. Utilisation and Stranded Capacity • Problem: • Any IT deployed in a data centre will disrupt the airflow and cooling even in empty zones of the room. • Symptom: • The simple example we just looked at illustrates a common feature of data centres that is not well understood: • If your data centre is running at 40% of design load, you do not have 60% capacity left! • Thermal hotspots will occur before the data centre reaches capacity. • Reaction: • Resilience concerns prevent further installation of IT devices • Confusion between Facilities, IT and Management. • More data centres are built to gain more capacity. • Solution: • Alternate configurations of IT load can be pre-tested using CFD simulation to evaluate whether they will result in stranded capacity in a data centre. • Proactive airflow management is required to maximise the utilisation of a data centre

  19. The benefits of the Virtual Facility “Data centers seldom meet the operational and capacity requirements of their initial design.” Gartner • 100 % Stranded Capacity Reclaimed Capacity Utilization Using a Virtual Facility Lost Lifespan Typical Operation Design intent Reclaimed Lifespan • Mid life • Year 1 • Expected end of life The Virtual Facility enables data centre operators to reclaim stranded capacity and extend the life of their existing data centres

  20. The choice: reclaim stranded cooling capacity or add to estate Option 1: Add to estate and continue with typical operation Option 2: Reclaim lost capacity in the existing estate +20% 60% 60% = + Utilization Utilization Time Time Expanding the estate Existing estate

  21. The greenest data centre is the one you don’t need to build... “Continuous improvement of tools and processes has enabled us to see where to push beyond perceived limits and how to reclaim capacity in our existing data centres” – Ashley Davis, JPMChase Matt Warner Future Facilities

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