The WegoWise
Measurement and
Verification Report
In Pictures
By: Kelly Kneeland
You might think you need incredibly specific
readings and intricate hardware attached to
your energy meters in order to co...
Part 1: Data
First: Monthly gas (or electric) usage and cost info for a multifamily residential building.
Second: Basic building information. Size, systems, and metering structure are the
keys to an accurate analysis.
Third: Monthly weather data. If your winter was an average of 5 degrees colder this year
than it was last year, you'd want...
Part 2: Analysis
We have 3 simple datasets – utility usage,
building characteristics, and weather. Is there
really anything cool we can do ...
Regression line of a user’s gas patterns based on all historical use.
We can then use this simple regression line to show ...
Part 3: Communication
It takes just a few creative efforts to put together
the results into a concise and understandable PDF
for anyone to share...
Summary of findings based on regression analysis and monthly usage and cost data.
We can also break down the analyses to help visualize these savings:
Actual usage vs. Expected usage: a visualization of t...
Table summary of raw savings data. Easy to understand, yet clear enough to trust.
Finally, we can provide a summary of the...
The End
More Information: www.wegowise.com
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Measurement and Verification - The WegoWise M&V Report in Pictures

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Today we're bringing you the WegoWise M&V Report-- in pictures! Find out more here: https://www.wegowise.com/tour

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Measurement and Verification - The WegoWise M&V Report in Pictures

  1. 1. The WegoWise Measurement and Verification Report In Pictures By: Kelly Kneeland
  2. 2. You might think you need incredibly specific readings and intricate hardware attached to your energy meters in order to complete accurate and detailed measurement and verification analysis: this is false! Keep clicking to understand what’s behind the WegoWise M&V Report.
  3. 3. Part 1: Data
  4. 4. First: Monthly gas (or electric) usage and cost info for a multifamily residential building.
  5. 5. Second: Basic building information. Size, systems, and metering structure are the keys to an accurate analysis.
  6. 6. Third: Monthly weather data. If your winter was an average of 5 degrees colder this year than it was last year, you'd want to think about how your heating was affected by that. Maybe you had a more efficient year, even though you used more energy. An open source like degreedays.net can provide the data we need to determine that.
  7. 7. Part 2: Analysis
  8. 8. We have 3 simple datasets – utility usage, building characteristics, and weather. Is there really anything cool we can do with them? Prepare to be amazed. With this info, we can easily calculate a regression analysis to model what the building’s energy would be had it not received any upgrades.
  9. 9. Regression line of a user’s gas patterns based on all historical use. We can then use this simple regression line to show what the difference would be if the old efficiency levels were extended.
  10. 10. Part 3: Communication
  11. 11. It takes just a few creative efforts to put together the results into a concise and understandable PDF for anyone to share or print.
  12. 12. Summary of findings based on regression analysis and monthly usage and cost data.
  13. 13. We can also break down the analyses to help visualize these savings: Actual usage vs. Expected usage: a visualization of the analysis completed using our regression tool.
  14. 14. Table summary of raw savings data. Easy to understand, yet clear enough to trust. Finally, we can provide a summary of the tables used in analysis for open and clear communication of savings:
  15. 15. The End More Information: www.wegowise.com

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