Turning Lemons to Lemonade with Energy Analytics

by ‐ Tags: building science, measurement and verification, resources

Managing utility data can leave a sour taste in your mouth, especially when it involves hours of digging through paper bills, entering data into spreadsheets and tedious troubleshooting. Imagine a set of analytics that can turn the "lemons" of monthly utility bills into the "lemonade" of actionable insights, improved building operation and reduced energy spending.

In this new whitepaper, learn the basics of weather-adjusted modeling of building energy use. By applying this type of analysis to simple monthly bill data, you can uncover remarkable insight about your buildings. And at a fraction of the cost of professional engineers working onsite. This trend has exciting implications for the energy efficiency industry, creating large amounts of information and insight into savings opportunities. Because of the low cost and the widespread availability of monthly bills, regression analysis can bring energy efficiency to significantly more buildings than are addressed today through the conventional practices of audits and retro-commissioning. 

There are many applications for weather-adjusted models in the energy management arena. Possibly most widespread is whole-building measurement and verification, comparing a statistical baseline model to actual usage to determine the energy savings created by a specific upgrade project. 

Beyond M&V, there are many applications of these analytics. The whitepaper discusses three:

  1. Forecasting - projecting the statistical model forward in time to estimate the energy usage of a building under historically average weather conditions.
  2. Anomaly Detection - continuously comparing a building's performance to its baseline statistical model to flag outliers. Unexpectedly high usage could mean an equipment fault, a water leak, or a change in operating procedure.
  3. Inverse Modeling - breaking out the statistical model into components that have "real world" meaning, such as heating efficiency, cooling efficiency, and base load (nonseasonal) usage. 

In each of these cases, understanding the weather-adjusted baseline model can answer relevant questions and improve the effectiveness of energy management. By squeezing every drop of value from the data you already have, you can turn lemons to lemonade - and cut bills in the process. Download the whitepaper here

Turn Lemons to Lemonade Download our whitepaper on advanced energy modeling