This webinar discusses energy efficient measures for server rooms. It begins with introductions of the speakers and an overview of their client's goals of reducing carbon emissions by 40% by 2020. However, they have discovered that server rooms are a major problem area. Data from the DCDI 2013 census shows that server room energy use is ballooning. In-house server rooms have low utilization rates, high cooling overhead and energy is a low priority without separate metering. Outsourced data centers have significant advantages in these areas. The webinar then discusses various energy efficiency strategies that can be implemented in server rooms like consolidation, virtualization, temperature adjustments, containment and free cooling. Case studies show energy reductions of over 50% are possible

1. Webinar Series
Server Rooms – Energy Efficient Measures
Your Speakers
George
Bartley
Mikael
Soderman
David
Green

2. What we do?
Smartmeter and sensors
Information
System
Client Sites
Our data centre

3. Our clients target 40% carbon
emissions reduction by 2020
Target
Actual Consumption

4. But we have discovered a problem –
Server Rooms !!!
Many of our client have a targer to reduce
carbon emissions by 40%

5. Is there an Elephant in the room?

6. Ballooning Carbon
THE DCDI 2013 CENSUS UK FIGURES

7. The issue is our in-house server
rooms
THE DCDI 2013 CENSUS UK FIGURES

8. Your feedback on the issue
●
Poll 1
●
Is your server room energy
separately metered?
Poll 2
Can you measure the PUE in your
server room?
Conclusion
Get as many business applications moved off-site and onto the Cloud using an energy
efficient Data Centre provider - as soon as possible
Allocating a utility bill to the IT department is a must for encouraging management of this
issue.
If you identify with this issue could you please complete the server room survey on our website
www.buildingsustainability.net/survey/server_rooms.html

9. In-house Server Room(s) versus Outsourced Data Centre
In-house Server
Rooms
Outsourced
Data Centre
Can approach 90% using Cloud
Applications where multiple
tenants are using a single
application – servers are virtual
running on blade processors
Server
Utilisation
operate at less than 10% of
server processing capacity
- one server per application.
Cooling
90% overhead
– PUE of >1.9
10% overhead
Use of free/high efficient cooling
- PUE of 1.1
Energy
Management
Low priority - IT Manager
rarely even sees the Utility
Bill - Usually no separate
energy monitoring
Top Priority - Managing energy is
core to the business process and is
linked to bottom line profitability
and used to attract clients

10. In-house Server Room(s) versus Outsourced Data Centre

11. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

12. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

13. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

14. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

15. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

16. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

17. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

18. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

19. Reducing server room energy
●
Consolidation
●
Get rid of unused servers
●
Virtualisation of servers
●
Processor demand responsive scheduling
●
Room Temperature adjustment
●
Hot Aisle / Cold Aisle Containment
●
Free Cooling
●
Lighting Controls and LED upgrades

20. Monitor server room energy
We need the right tools!

21. The Footprint Tracker

22. Services Grouping

23. Navigating the data

24. Navigating the data

25. Navigating the data

26. Navigating the data

27. Managing projects

28. CuSum

29. Live ROI Tracker

30. Blog

31. Blog

32. Digital Signage
●
●
●
Content managed
Connects to most types of
screens
Using Android or Raspberry Pi
hardware

33. Casestudy
David Green
Department of Engineering
University of Cambridge

34. Department of Engineering Overview
•
Accounts for around 10% of
university.
•
Activities based in 7 buildings.
•
Around 600 members of staff
•
•
Four year M.Eng course – around
1,200 students.
Postgraduate students numbers:
•
2011 (792) - 2012 (830)
34

35. The Problem
Background
•
•
Approach
Initially a distributed arrangement.
•
Centralised computing resources in two computer
rooms (34 racks,12 racks)
•
Pre 2010 Cooling Arrangement
•
•
KJ Tait feasibility
study
Support from the
University’s Estate
Management
Refrigerant based CRAC system, full recirculation via
under floor plenum
•
Computing Staff
63kW plug-load
•
Salix Funding
Key Project Drivers
•
University Energy Incentivisation Scheme (EIS)
•
Further server purchases planned
•
IT electricity consumption is a significant part of the
Department’s energy base load
35

36. The Solution - Installation
Cold aisle
containment
EC Extract Fans
Ambient air
through louver
Self contained
plant room
No raised floor
6 EcoCooling
CREC’s giving
150kW N+1
36

37. 30/06/2010
29/06/2010
28/06/2010
27/06/2010
624
633
830
772
745
863
1069
1284
1574
1568
1528
1584
1601
1546
1525
1525
1525
1506
1458
1474
1457
1493
1587
1565
1492
June 2010 - kWh used per day, per consumer unit
26/06/2010
25/06/2010
908
1000
24/06/2010
23/06/2010
848
IT Load
1200
~63kW
781
831
850
850
851
826
866
852
823
837
837
1400
22/06/2010
21/06/2010
20/06/2010
19/06/2010
18/06/2010
17/06/2010
16/06/2010
15/06/2010
14/06/2010
13/06/2010
12/06/2010
11/06/2010
10/06/2010
09/06/2010
08/06/2010
07/06/2010
06/06/2010
840
866
810
`
05/06/2010
04/06/2010
03/06/2010
02/06/2010
800
791
1600
01/06/2010
•
kWhr
Before – Energy Use 2010
Air-con Units kWh used
Racks Units kWh used
1800
PUE of 1.65
600
400
Cooling and
Lighting
200
~35kW
0
37

38. 0
0
600
1000
400
200
500
633
840
866
837
96
96
810
96
09/06/2010
09/06/2011
10/06/2010
10/06/2011
96
103
128
15/06/2010
15/06/2011
16/06/2010
16/06/2011
17/06/2010
17/06/2011
178
22/06/2010
22/06/2011
23/06/2010
23/06/2011
170
175
260
830
772
745
863
908
848
781
831
1069
1200
2000
30/06/2010
30/06/2011
29/06/2010
29/06/2011
28/06/2010
28/06/2011
27/06/2010
27/06/2011
26/06/2010
26/06/2011
25/06/2010
25/06/2011
175
180
21/06/2010
21/06/2011
850
850
851
826
866
1000
24/06/2010
24/06/2011
168
20/06/2010
20/06/2011
19/06/2010
19/06/2011
159
98
14/06/2010
14/06/2011
18/06/2010
18/06/2011
97
13/06/2010
13/06/2011
12/06/2010
12/06/2011
11/06/2010
11/06/2011
1458
2356
2184
2058
2210
2279
2239
1284
2220
2203
2191
2237
2255
1528
1584
1601
1546
1525
1525
23931525
2300 1506
2221
1574
1568
2298 1474
2325
1587
1565
1493
2254 1457
2190
2232
2294
2315 1492
June 2010 -- kWh used per day, per consumer unit
2011 kWh used per day, per consumer unit
624
823
106
08/06/2010
08/06/2011
852
837
103
07/06/2010
07/06/2011
109
06/06/2010
06/06/2011
05/06/2010
05/06/2011
04/06/2010
04/06/2011
03/06/2010
03/06/2011
800
96
2500
791
1400
02/06/2010
02/06/2011
1500
98
1600
01/06/2010
01/06/2011
kWhr
kWhr
The Results – Energy Use 2011
Air-con Units kWh used
Air-con Units kWh used
Racks Units kWh used
Racks Units kWh used
1800
3000
PUE of 1.1
38

39. Engineering’s Data Centre electrical loads
•
300 MWh electrical base load
•
Pre 2010 – 35% = Server rooms
•
•
Now 2 x Data Centres and 23% of
base load
Purchasing vs energy performance
39

40. Risks – Reliability and Maintenance
•
•
•
•
•
Initially maintenance was not
comprehensively scheduled
Location - surprising amount of
large fibres caught by insect
screen in the Spring
3 monthly maintenance of the
equipment is required
Routine ‘deep’ cleaning of
facility to ISO 7
With internal installation room
cleanliness needs to be
maintained
40

41. What next?
•
Move as many applications to “The Cloud” as
possible minimising the number of in-house servers
•
Sub-meter all server rooms and measure PUE
•
Rationalise in-house servers
–
•
identify redundant equipment and power
down
Assess the potential to reduce the PUE in you
server rooms
–
–
•
Increase Room temperature
Implement hot/aisle containment
Come and discuss your plans with Building

42. Further reading
http://www.buildingsustainability.net
http://www.talkingbuilding.co.uk
https://www.facebook.com/BuildingSustainabilityLtd
https://twitter.com/BSLEnergyTeam
Phone: +44 20 7193 8967