The document discusses green computing, defined as the efficient design, use, and disposal of computing technology to minimize environmental impact. It highlights the need for green computing due to high power consumption, particularly in data centers, and outlines government efforts to promote sustainability through regulations and recycling programs. Various approaches to achieve green computing, including power management and e-waste management, are also presented.

1. By: Parth Patel
Enr. No.: 11011010047
Branch: Computer
Guided By: Mrs. Maulika Patel

2. INTRODUCTION

What is GREEN Computing???

What is the need for GREEN Computing???

How government is helping in GREEN Computing???

How to go GREEN???

Approaches to GREEN Computing.

3. WHAT IS GREEN COMPUTING??

According to the definition by San Murugesan; Green
computing is the study and practice of designing,
manufacturing, using and disposing all the computers,
servers and associated subsystems efficiently and
effectively with minimal or no impact on environment.

Manufacture ecofriendly devices/machines.

The technology which is beneficial to the environment.

4. NEED FOR GREEN COMPUTING???
At an average a typical computer use a 60-500 watts
 Additional 35-150 watts with LCD or CRT screen.
500
+150
------650 watts
 Total Personal computer(400 million) energy usage in
2000=23 nuclear power plant.
 Power is the main factor for improving the performance.


5. POWER CONSUMPTION BY PROCESSORS
oAs
new
and new
processors
are invented
rate of
power
consumption
increases.
oAnd
this
high power
consumption
is not eco
friendly.

6. POWER CONSUMPTION OF
PROCESSORS
Power Density (W/cm2)
1000
Nuclear
Reactor
100
Pentium 4
Hot
Plate
10
Pentium 3
Pentium 2
Pentium Pro
Pentium
1
1980
386
486
1990
2000
2010

7. MORE REASONS FOR HIGH
POWER CONSUMPTION.

As circuit speed increases, power consumption increases.

Designing low power circuits has been the most
important issue.

Mobile devices demand long battery life.

Low power consumption is listed as the second greatest
challenge for industry.

8. POWER CONSUMPTION AND DATA
CENTER
Where are the web page
you browse??
 Data center
 One single room in data
center contain 100 Racks.
 1 Rack=5 to 20 kW
 Contributed to the
2000/2001 energy crisis
in California.

Client
Internet
Data
Center
Racks

9. ENVIRONMENTAL IMPACT
Sun Datacenter
•2006
•10.5M kWh
•10K tons of Co2
WW Datacenter
•2006
•209 kWh
•200M tons of Co2
200M tons of
Co2
Co2 produced by
40 million cars

10. COOLING DATA CENTER

o
o
Current Coolants: CFCs
and HCFCs
=
OZONE DEPLETION
Other coolants like HFC
increase green house
emission by 1300 times.
As all this are creating
global worming.
MICROSOFT • Cold Siberia
Sun
• Underground

11. EFFECT OF GLOBAL WARMING.
Effect of Global warming on
Siberia
Effect on Underground Japan

12. A SUPER LOW POWER
PROCESSOR

13. AN AVERAGE ENERGY USAGE OF
DATA CENTER
$15 Billion for energy usage
Impact of 10% Reduction
of Power Consumption
$15b
$1.5
Billion in
Saving
10%
200
10%
20
Million
ton of
Co2

15. CONCLUSION
From the all above
discussion we have seen
that there is high power
consumption by all this
data centers, computers
and other technical
equipments.
 To reduce the power
consumption and make
this all equipments echofriendly GREEN
Computing is necessary.
o

16. ROLE OF GOVERNMENT

Many government agencies have implemented standards
and regulations to encourage GREEN Computing.

State-wide recycling programs for obsolete of computers
and consumer electronic equipments.

Government provide fund to improve the energy
efficiency of data centers.

Made e-waste collection centers.

17. 
In 1992 the U.S
Environmental Protection
Agency launched Energy
star, a voluntary labeling
program that is designed
to promote and recognize
energy efficiency in
monitors, climate control
equipments and other
technologies.

18. APPROACHES TO GREEN
COMPUTING.
Algorithmic Efficiency
 Power Management
 Video card
 Display
 Material Recycling
 Telecommuting
 e-waste Management
 Make low power using
machines


19. THANK YOU….
References: Google Sites
Papers by Researchers
Blogs