How It Works

Energy and Weather Patterns

BETTER uses regression techniques to analyze a building's monthly energy data and weather in order to determine how much energy is used for heating, cooling, and the building’s baseload (lighting, plug loads, etc.). Energy consumption data is fit to temperature patterns to determine whether heating and cooling set points are appropriate and whether equipment is performing for optimal energy efficiency.

BETTER model

Change-point Models


Energy consumption of all non-weather-related equipment like computers and lighting. The lower the baseload, the less the energy consumed in plugs and permanently plugged equipment.

Cooling sensitivity

Cooling system energy consumption for each degree increase in outdoor temperature. Low cooling sensitivity results in less energy-consuming cooling system.

Cooling change-point

The temperature at which the building's energy consumption begins to increase as the temperature increases.

Heating sensitivity

Heating system consumption of energy for each degree decrease in outdoor temperature. Low heating sensitivity results in less energy-consuming heating system.

Heating change-point

The temperature at which the building's energy consumption begins to increase as the temperature decreases.


The performance of a building analyzed by BETTER is compared to similar buildings. Users can choose to benchmark their buildings either against their own portfolio or against a default benchmark data set provided by BETTER. In addition to telling users whether a building's energy consumption is higher or lower than its peers, BETTER goes a step further by telling users why that is the case. If a building's energy use is high compared to peers, for example, it may be because the heating system is performing poorly, while the cooling system and baseload equipment may be typical compared to peers.

With this information, a building owner can adjust heating setpoints, add insulation, or perform an energy audit that focuses on heating equipment. The process of benchmarking allows users to see how their buildings compare to others, which allows them to make the best strategic decisions to increase energy efficiency and cost savings across their portfolio.

BETTER model

Energy Efficiency Recommendations

BETTER provides energy efficiency recommendations tailored to each building. A building whose heating system is performing poorly, for example, will receive recommendations targeting that particular issue. Recommendations range from no-cost operational adjustments to major retrofits.

Energy and Cost Savings Potentials

BETTER analyzes the building’s performance to determine potential energy and cost savings. Worse-performing buildings will have greater savings opportunities than buildings that are already performing well. Graphs showing potential cost savings as well as expected consumption reductions are provided in BETTER’s output reports.

How to use BETTER

  1. Access the BETTER tool by clicking “Get Started” at the bottom of this page or on the home page.
  2. Follow the step-by-step instructions in the tool to:
    • Download the Data Entry Template spreadsheet.
    • Enter property information in the Data Entry Template spreadsheet (see Instructions tab in the spreadsheet for details).
    • Upload spreadsheet with property information.
    • Select the buildings you wish to analyze – you can select a single building, your whole portfolio, or anything in between. You may only analyze one property type at a time.
    • Select your savings target.
    • Select the data set you’d like to use as your benchmark.
    • Run the analysis and view results.
  3. An introductory video about BETTER:


Li, H., C. Szum, S. Snyder, S. Lisauskas, and A. Bekhit. 2019. “ Targeting Building Energy Efficiency Opportunities - An Open-source Analytical and Benchmarking Tool. ” In Proceedings of the 2019 ASHRAE Winter Conference. Atlanta, GA: ASHRAE.


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