This document discusses a Green IT project that aims to implement environmentally friendly practices in data centers and for end-user computing. Some key points covered include: - Green IT refers to making IT organizations more environmentally sustainable through practices like improving energy efficiency. - Drivers for Green IT include rising energy costs, concerns about global warming, and increased legislation around emissions and toxic materials. - Potential areas for green practices are data centers and end-user devices/computing. Issues in data centers include high energy use for servers and cooling. - Associated green practices could include improving cooling methods, virtualizing servers, altering purchasing, and proper disposal/recycling. Benefits include reduced costs and emissions

1. GREEN IT PROJECT
Concept & Structure

2. Agenda
• GreenIT. What is all about?
• What are the causes?
• Where such practices
leaves?
• Associated Practices
• Potential Benefits

3. GreenIT - What is it?
GreenIT refers to the idea that IT
organizations can and should implement
practices that are environmentally
friendly

4. What is causing this
attention?
• Rising energy costs over the past five
years
• Increased publicity regarding global
warming and “energy citizenship”
• Increased legislation surrounding
energy efficiency, toxic materials, and
greenhouse gases (GHG) in the US,
European Union and China

5. Where implement
such green practices?
• Data Center
• E n d - U s e r

6. Real Reported Issues
• Servers and desktop PCs remain fully powered on
nights and weekends
Data Center
• Carbon dioxide emissions generated by cooling
• Amount of electricity needed to power and cool the
data center makes it one of the costliest aspects of
an IT department

7. Real Reported Issues
• Facilities issues
• Inefficient and expensive cooling methods
• Hardware issues
• Energy-intense high-density servers

8. Real Reported Issues
Lack of awareness and attention can result in
excess energy consumption and harmful disposal
practices for IT equipment
Use of laptops, LCD monitors can significantly reduce
Selection
electricity consumption and costs
Simple asset usage practices, such as turning off PCs at
nights and on weekends and using power saving settings
Usage
during the day, can reduce energy consumption and GHG
emissions
Disposal
Proper asset disposal practices can eliminate toxic waste
&
Recycling from entering landfill systems

9. Associated practices
Data Center
‣ Eliminate energy leaks
‣ Use innovative and more efficient
cooling methods
‣ Replace high-density servers with
virtual servers
‣ Use alternative storage tactics
‣ Reconfigure data center floor layouts
‣ Explore alternative energy sources

10. Associated practices
End-User Computing
‣Alter purchasing practices for IT assets
‣Encourage adoption of energy-saving
settings on computers
‣Practice proper disposal and recycling
practices of IT assets

11. GreenIT - Associated
Benefits
✓Reduced carbon and other GHG
emissions
✓Increased cooling efficiency in the data
center
✓Reduced energy costs
✓Cost savings
✓Improved financial performance
✓Positive publicity

12. Drivers
• Increased electricity prices over the
last years
• High demand for reduced costs by
CIOs
• Power and cooling systems are the
major concerns
• High increasing average storage
• Legislation and public awareness to
examine environmental impact on IT

13. Challenges
• Build future DCs in a modular way so
that power consumption can be scaled
with growth
• Create energy-efficient systems that
can operate within targeted power and

14. Traps
• Shared environment means limited
access and higher rates of failure
• For some users, it becomes a real
nervous feeling

15. Indicators
Brazil is one of the least responsive
country ranked among the most
mature in green initiatives

16. Initial Start-up Steps
• Measure servers power consumption savings under
various levels of use
• Using a loaner hardware measured against online
tools that predict power consumption levels
• Share power costs across internal areas allocating
it to application owners
• Server & Storage virtualization
• Cloud computing

17. PUE
Power Usage Effectiveness
Calculated by dividing the amount of power entering a DC by
the power used to run the computer infrastructure within it
The closer you are to 1.0, the more efficient you are