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![Cooling capability limitations of the raised
floor Additionally requires
grate-type tiles
500-700 cfm
Perf tile Grate tile
12
Typical With Extreme Impractical
Capability Effort
10
Rack 8
Power
(kW) 6
that can be
cooled by one 4
tile with this
airflow
2
0
0 100 200 300 400 500 600 700 800 900 1000
Single tile per rack [47.2] [94.4] [141.6] [188.8] [236.0] [283.2] [330.4] [377.6] [424.8] [471.9]
10 degree C rise
160CFM/KW
Schneider Electric - IT Business – Jan 2012 Tile Airflow (cfm) [L/s] 15](https://image.slidesharecdn.com/energyefficiencydatacenteroverview-120917073653-phpapp01/75/Energy-efficiency-data-center-overview-15-2048.jpg)
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Energy efficiency data center overview
Schneider Electric focuses on optimizing energy management in data centers, emphasizing the increasing power consumption and density of server racks. The document outlines strategies for improving efficiency through virtualization, innovative cooling solutions, and energy management software. It highlights the challenges faced by data centers and the need for adaptive infrastructure to meet escalating demands for power and cooling.
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Energy efficiency data center overview
- 1. Energy Drivers inthe Data Center
- 2. Schneider Electric: The globalspecialist in energy management €21.3 billion sales in 2010 120,000 people in more than 100 countries >200 factories around the world R&D centres in 25 countries Schneider Electric - IT Business – Jan 2012 2
- 3. You can findmost of the Schneider portfolio in a typical data center today Switchgear Data center power, cooling, Data Building Energy and power racks, and center automation management distribution management services Schneider Electric - IT Business – Jan 2012 3
- 4. The new APC AHeritage of leadership, experience and innovation ● APC was acquired by Schneider Electric in 2007 ● MGE UPS Systems, another division of Schneider Electric, merged with APC ● Together they represent the Critical Power & Cooling Services Business Unit of Schneider Electric Schneider Electric - IT Business – Jan 2012 4
- 5. The New Reality: Keystrokes Kilowatts Heat OUT Electricity IN Schneider Electric - IT Business – Jan 2012 5
- 6. Demand for bandwidthis exploding… Business must react quickly 6 Schneider Electric - IT Business – Jan 2012 6
- 7. Which is puttingdata center planning and operation under increasing pressures Increasing availability Rapid changes in expectations IT technology Uncertain long-term plans for Energy and service capacity or density cost control pressure High density blade server Dynamic power power/heat variation Regulatory Server requirements consolidation In response, we are working to change the way the world designs, installs, operates, manages, and maintains data centers Schneider Electric - IT Business – Jan 2012 7
- 8. Data Center EnergyConsumption Source: EPA Report to Congress on Server and Data Center Energy Efficiency; August 2, 2007 Schneider Electric Solution + Innovation Tour 8 Schneider Electric - IT Business – Jan 2012 8
- 9. Rack Power ConsumptionINCREACING… while many data centers are shrinking. ● Resulting power draws per rack have Peak Kilowatts per rack grown eightfold since 1996 ● Average (Peak) kW per rack 30 • 2000: 1kW • 2006: 2-4kW 25 • 2010: 6kW+ Kilowatts ● Over 40% of data center customers 20 report power demand outstripping supply 15 ● Power density is increasing with new server form factors 10 ● Power and cooling budgets have become difficult to predict … 5 ● And the pace of technology continues unabated … 0 1996 1998 2000 2002 2004 2006 2008 2010 Source: EPA Report to Congress on Server and Data Center Energy Efficiency; August 2, 2007 9 Schneider Electric - IT Business – Jan 2012 9
- 10. The Big Picture(as it relates to Power and Cooling) Total electric power use on Earth in 2008 17,096 TWh* 2% Data centers and networks use about 342 TWh 1/3% Wasted due to inefficiency of traditional DC physical infrastructure* USA 2008 Electricity consumption 3,873 TWh* Wind 2009 Worldwide capacity 340 TWh** 112 TWh Solar 2009 Worldwide capacity 26 TWh Potential savings now! *CIA World Factbook 2008 **World Wind Energy Report 2009 10 Schneider Electric - IT Business – Jan 2012 10
- 11. Energy Use &Reporting for the Data Center Total Facility Power* PUE (Power Usage Effectiveness) = IT Equipment Power * The facility power dedicated to the data center The EPA Energy Star rating for Data Centers based on PUE Schneider Electric Solution + Innovation Tour 11 Schneider Electric - IT Business – Jan 2012 11
- 12. Virtualization myths ● Virtualization always increases efficiency ● Virtualization requires high density data centers ● High density and high efficiency cannot coexist ● I don’t need to worry about power and cooling when virtualizing Schneider Electric - IT Business – Jan 2012 12
- 13. Simple Case Study Implementing Virtualization in a data Center Annual electric bill Before virtualization ● Average 7 kW / rack ●120 kW data center capacity ●90 kW IT load (75% loaded) $193,123 ● DX air conditioning Before Virtualization ●59 kW total server load (66%) 27% ● No redundancy ●PUE = 2.0 ● $0.12 / kW hr 54% ● Right-sized power & savings After virtualization cooling $140,305 • 53 kW IT load (42% loaded) After Virtualization ● Close-coupled cooling • 22 kW total server load 36% • 75% servers virtualizable ● Use blanking panels • Server consolidation ratio 20:1 ● High-efficiency UPS • PUE= 2.5 (96%) Optimized power & cooling $89,251 • 60 kW capacity After NCPI Improvements • Data center load 88% • PUE = 1.6 Schneider Electric - IT Business – Jan 2012 13 Source: TradeOff Tool - TT9 Rev 0 “Virtualization Energy Cost Calculator”
- 14. Cooling Architectures Studied CentralAir Handling Unit Computer Room Air Handler InRow Air Handler (CAHU) (CRAH) (IRAH) Schneider Electric - IT Business – Jan 2012 14
- 15. Cooling capability limitationsof the raised floor Additionally requires grate-type tiles 500-700 cfm Perf tile Grate tile 12 Typical With Extreme Impractical Capability Effort 10 Rack 8 Power (kW) 6 that can be cooled by one 4 tile with this airflow 2 0 0 100 200 300 400 500 600 700 800 900 1000 Single tile per rack [47.2] [94.4] [141.6] [188.8] [236.0] [283.2] [330.4] [377.6] [424.8] [471.9] 10 degree C rise 160CFM/KW Schneider Electric - IT Business – Jan 2012 Tile Airflow (cfm) [L/s] 15
- 16. Zone technologies REAR containment NO containment So lid re Cold aisle ar do or s Hot aisle Return air contained Cold aisle HOT-AISLE containment Contained hot aisle Schneider Electric - IT Business – Jan 2012 16
- 17. Achieving high efficiencyin high-density data centers Products we offer as part of our solutions 1 Close Coupled / Contained Cooling 2 Ultra-high efficiency UPS 3 Capacity and energy management software for power, cooling, and racks 4 Scalable power and cooling equipment 5 High-efficiency AC power distribution White paper 126 Schneider Electric - IT Business – Jan 2012 17
- 18. APC… Complete SolutionOffering Ecobreeze + Thermal containment kW / rack Schneider Electric - IT Business – Jan 2012 18
- 19. High-efficiency UPS 100% ● UPS efficiency has large effect on data center 95% efficiency because total IT 90% load goes through it 85% % Efficiency ● Improvement over typical 80% % Loss from 80% to 96% efficiency at 75% 20% load corresponds to loss 70% reduction of 80% 65% ● Electricity savings can pay for 60% the UPS in many cases 55% ● Side effect of high efficiency 50% design: UPS is nearly silent 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % IT Load Schneider Electric - IT Business – Jan 2012 19
- 20. Scalable power andcooling ● Over half the power and cooling losses in a data center are fixed 100% Power and cooling and do not vary with the IT load (so efficiency degrades as IT 90% installation load declines) 80% 70% ● Oversizing is therefore a primary Efficiency % Efficiency contributor to inefficiency 60% 50% ● Virtualization and server power management will make this 40% problem worse, if power and 30% cooling are sized to peak IT 20% loads that are not typical 10% ● New power and cooling devices 0% can scale in capacity, reducing 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% fixed losses %IT load % IT Load Schneider Electric - IT Business – Jan 2012 20
- 21. And Finally…. Management/ Measurement MONITOR CONTROL AUTOMATE ISX Ops ION-E Continuum/Vista ISX Central Power Business Unit Buildings Business Unit IT Business Unit Schneider Electric Solution + Innovation Tour 21 Schneider Electric - IT Business – Jan 2012 21
- 22. Capacity and energymanagement ● 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 StruxureWare Data Center Expert software efficiency improvement opportunities with Capacity Manager White paper 150 Schneider Electric - IT Business – Jan 2012 22
- 23. Software Management Platforms:Purpose Schneider Electric Solution + Innovation Tour 23 Schneider Electric - IT Business – Jan 2012 23
- 24. Software Management Platforms:Purpose Schneider Electric Solution + Innovation Tour 24 Schneider Electric - IT Business – Jan 2012 24
- 25. Questions Schneider Electric -IT Business – Jan 2012 25
Editor's Notes
- #9 The US EPA estimates that US data centers reported this snowballing growth of data center power to Congress in 2006 and that this will increase if no action is taken.[CLICK x 1 – Other animations are AUTO]In the meantime, the cost to build a new data center has risen exponentially – over 1150% since the early 1990s. For many, building a new data center is not an option. Energy Management will be a key business need.It costs more to run data center than to buy IT equipment – some companies note a 7-times increase in power requirements from 1998-2005.July 2006, a CIO Insight Magazine article noted that up to 40% of the operating costs of a building that houses a data center might be power- and cooling-related. Nov. 2005 article in the Wall Street Journal noted that some medium-sized companies experienced a seven-fold increase in power requirements from 1998-2005. And over that time, the electrical costs to run those data centers shot up from $10k/month to $40K/month. In 2008, 59% of IT managers surveyed by AFCOM (data center manager’s association) said that their biggest worry is that equipment is purchased without concern for power and cooling*APC internal research Source: Energy Information Administration: International Total Primary Energy Consumption and Energy Intensity (2006) website.
- #10 The US EPA estimates that US data centers reported this snowballing growth of data center power to Congress in 2006 and that this will increase if no action is taken.[CLICK x 1 – Other animations are AUTO]In the meantime, the cost to build a new data center has risen exponentially – over 1150% since the early 1990s. For many, building a new data center is not an option. Energy Management will be a key business need.It costs more to run data center than to buy IT equipment – some companies note a 7-times increase in power requirements from 1998-2005.July 2006, a CIO Insight Magazine article noted that up to 40% of the operating costs of a building that houses a data center might be power- and cooling-related. Nov. 2005 article in the Wall Street Journal noted that some medium-sized companies experienced a seven-fold increase in power requirements from 1998-2005. And over that time, the electrical costs to run those data centers shot up from $10k/month to $40K/month. In 2008, 59% of IT managers surveyed by AFCOM (data center manager’s association) said that their biggest worry is that equipment is purchased without concern for power and cooling*APC internal research Source: Energy Information Administration: International Total Primary Energy Consumption and Energy Intensity (2006) website.
- #11 Total electric power use on earth in 2008 was estimated to be 17,096 TWh (Terawatt hours).[CLICK] Data centers energy consumption data is probably 2% of the world’s electricity (some reports say not 2% but 8%). [CLICK] Due to poor design practices, one-third of that 2% is wasted due to the inefficiency of the traditional data center physical infrastructure… compared to what is possible for the same cost (this estimate is base on our experience). [CLICK] So just by doing smarter designs, we could save 1/3 of the energy consumption. This would amount to 27 TWh (Terawatt hours). This is more than the entire installed capacity of solar power available on the grid today. The total worldwide energy generated by Photovoltaic was about 26TWhr. Relative to the energy capacity for wind power and electricity consumption in the US, the potential energy savings available now is still significant.
- #12 Key point: This industry has a widely accepted energy measurement and improvement standard!Speaker note: Do NOT go into PUE detail—keep with the high-level theme of measuring energy performance against an accepted standard.[CLICK] BUT, customers MUST begin to measure before they can make improvements to compare against the benchmark standard.Customer motivation: With improvement against the benchmark of PUE & EnergyStar, customers can apply for special funding, tax credits, incentives, rebates, etc (from government and utilities).
- #22 Software Management is our strongest Schneider-wide offer in this space. Different management solutions for different business needs that affect the data center.Recall: The customer MUST measure their energy use against the standard that is established & widely accepted for the data center.
- #24 S+I speaker notes: Here we can identify the core purposes of the different Schneider software management platforms as they relate to data center monitoring and automation. They are NOT mutually exclusive, but rather serve different purposes and often different stakeholders within the business.Additional background notes from Kevin Brown, author of APC White Paper #104.This table helps to differentiate some of the mainstream Monitoring & Automation subsystems in terms of their primary and secondary functions.The facility power management subsystem provides detailed insight into the status and operation of the entire electrical distribution network (from utility feeds, to transformers, to PDUs, to racks) within a building, often including the data center. Electrical engineering staff and consultants utilize this subsystem to manage the electrical distribution network. The key functions provided by this type of subsystem include power monitoring of current conditions (critical and non-critical load), power alarming, and “power analytics”. These functions support critical activities such as notification of and response to electrical network problems, maintenance (planned and unplanned), capacity planning, facility expansion / retro-fit projects, energy efficiency projects, power quality analysis, and power reliability analysis.
- #25 S+I speaker notes: Here we can see how the ITB uses ISX Operations to complement the ISX Central, Power and Buildings management offers with data center infrastructure decision-making tools. This software uses the input from ISX Central to enable planning and implementation decisions to be made in a logical manner. Again, it is only as useful as the whole energy management view.Additional background notes from Kevin Brown, author of APC White Paper #104:This table helps to differentiate some of the mainstream planning and implementation subsystems in terms of their primary and secondary functions.Facility asset management – This subsystem allows for :management of asset deployment, generation of facility-relation parts specifications, calibration, costing and tracking of building equipment assets. Facility capacity management – This subsystem aids facilities staff to plan both moves and changes within the mechanical and electrical rooms, by providing real-time measurements of energy consumption and water flows in addition to the project impact of changes to the power and cooling infrastructure.IT room workflow management – This subsystem facilitates the execution of equipment additions, moves, and changes by presenting a hierarchical overview of data center locations, including global and local views and from groups to single assets. IT room capacity management – From a power consumption efficiency perspective, the system identifies the optimal physical location for power, cooling, and rack-based IT equipment.The speaker notes continue on next page; the following slide is hidden in presentation mode.