There are many factors in the data center that are driving the new data center design considerations. This slideshare discusses several of the trends in the data center and covers several solutions to implement.
2. Schneider Electric:
The global specialist 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
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3. You can find most 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
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4. The new APC
A Heritage 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
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5. The New Reality:
Keystrokes Kilowatts
Heat OUT
Electricity IN
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6. Demand for bandwidth is exploding…
Business must react quickly
6
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7. Which is putting data 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
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8. Data Center Energy Consumption
Source: EPA Report to Congress on Server and Data Center Energy Efficiency; August 2, 2007
Schneider Electric Solution + Innovation Tour 8
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9. Rack Power Consumption INCREACING…
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
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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
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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
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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
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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
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Source: TradeOff Tool - TT9 Rev 0 “Virtualization Energy Cost Calculator”
14. Cooling Architectures Studied
Central Air Handling Unit Computer Room Air Handler InRow Air Handler
(CAHU) (CRAH) (IRAH)
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15. 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
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
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17. Achieving high efficiency in 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
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18. APC… Complete Solution Offering
Ecobreeze + Thermal containment
kW / rack
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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
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20. Scalable power and cooling
● 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
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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
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22. 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 StruxureWare Data Center
Expert software
efficiency improvement opportunities with Capacity Manager
White
paper
150
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23. Software Management Platforms: Purpose
Schneider Electric Solution + Innovation Tour 23
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24. Software Management Platforms: Purpose
Schneider Electric Solution + Innovation Tour 24
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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.
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.
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.
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).
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.
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.
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.