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Savings Report
A spanish City Council with 3000 computers where
   they were previously used in a controlled way
Workings
           On
                                 Active
                Stand
                 By
                        Off      Inactive




• The software measures the PC energy
  state and the user activity each second.
• After a certain amount of inactivity time,
  the PCs are put in low power state
Math
          90W



                5W          ∑ Tiempo
                     1W




• The power used in each state is inserted in
  the software, and the program does the
  calculus aggregating data.
Data capture
                                               This date started
                                                  the policies


                                          The effect is noticed by the
                                           appearance of stand-by
                                              states (yellow bars)




• A database stores historic data and allows us
  to make comparisons
• Analysis tools allow us to do a tight project
  tracking during the lifetime of it (in real time)
Comparative criteria
• Both periods: without holidays or
  reduced working hours.
• 1) Initial period:
 • without applied policies
• 2) Final period
 • with applied policies
 • with the platform stabilized
Compared periods
• Data from 'Period 1' were captured
  from 06/09/2010 to 6/22/2010. On
  average, 1.845 PCs were connected
  daily.
• Data from 'Period 2' were captured
  from 09/01/2010 to 09/14/2010. On
  average, 1.789 PCs were connected
  daily
Results
• 53,9 kWh saved per PC and year
Graphic comparative
Objectives met :-)

• The savings were anticipated on July 13 by
  using simulations
• Formula required by the customer:
  (projected savings - real savings) / projected
  savings)* 100 < 20% of deviation.
• Results: (54,5 - 53,9) / 54,5)*100 = 1,1 %
Recommendations
•   Do not take this information to the letter. The software estimates are
    conservative: when used data from the PC without considering the load of
    CPU, peripherals, disk, etc, the usual consumption power is much greater
    than estimated and therefore the savings are higher.

•   As the result depends on the use of people and their behavior (not a
    laboratory testing out of reality), and no one works the same from day to
    day or week to week, it is impossible to consider the conditions between 2
    periods as 100% equivalent . To accomplish this we should clone two people
    ´s behaviors, or put two subjects in a laboratory (one with software and one
    without it) and force them to use the PC in EXACTLY the same way.

•   Wait a few months and see the electricity bill. The result will be visible
    where most noticeable (comparison from year to year).

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Results 1 Spanish City Council

  • 1. Savings Report A spanish City Council with 3000 computers where they were previously used in a controlled way
  • 2. Workings On Active Stand By Off Inactive • The software measures the PC energy state and the user activity each second. • After a certain amount of inactivity time, the PCs are put in low power state
  • 3. Math 90W 5W ∑ Tiempo 1W • The power used in each state is inserted in the software, and the program does the calculus aggregating data.
  • 4. Data capture This date started the policies The effect is noticed by the appearance of stand-by states (yellow bars) • A database stores historic data and allows us to make comparisons • Analysis tools allow us to do a tight project tracking during the lifetime of it (in real time)
  • 5. Comparative criteria • Both periods: without holidays or reduced working hours. • 1) Initial period: • without applied policies • 2) Final period • with applied policies • with the platform stabilized
  • 6. Compared periods • Data from 'Period 1' were captured from 06/09/2010 to 6/22/2010. On average, 1.845 PCs were connected daily. • Data from 'Period 2' were captured from 09/01/2010 to 09/14/2010. On average, 1.789 PCs were connected daily
  • 7. Results • 53,9 kWh saved per PC and year
  • 9. Objectives met :-) • The savings were anticipated on July 13 by using simulations • Formula required by the customer: (projected savings - real savings) / projected savings)* 100 < 20% of deviation. • Results: (54,5 - 53,9) / 54,5)*100 = 1,1 %
  • 10. Recommendations • Do not take this information to the letter. The software estimates are conservative: when used data from the PC without considering the load of CPU, peripherals, disk, etc, the usual consumption power is much greater than estimated and therefore the savings are higher. • As the result depends on the use of people and their behavior (not a laboratory testing out of reality), and no one works the same from day to day or week to week, it is impossible to consider the conditions between 2 periods as 100% equivalent . To accomplish this we should clone two people ´s behaviors, or put two subjects in a laboratory (one with software and one without it) and force them to use the PC in EXACTLY the same way. • Wait a few months and see the electricity bill. The result will be visible where most noticeable (comparison from year to year).