B3 Data Analysis Steps

B3 Benchmarking is a useful tool with many metrics for building energy consumption. Below are 3 Steps to use for analyzing data with specific questions to ask and to address when completing each step.

  1. Data Check

    Analysis is useful when the inputs are high quality. Make sure building and meter data are complete and correct.
    • Do you have any warnings (yellow triangles) or errors (red triangles)?
    • Are all of the meters for each building accounted for?
    • Are space types, square footages, and occupancy schedules accurately applied to all buildings?
    • Are meter readings current within the past 90 days?
  2. Understand Organization Performance

    At the organization level, you can understand how all of the buildings within an organization are performing relative to buildings models and time. This high-level information is great for reporting general progress for the organization.
    • Is the organization Benchmark Index Ratio greater than 1.0? If so, there is significant room for energy improvements and savings.
    • Is the organization using more or less energy over time? Look at the Baseline.
  3. Identify Buildings for Improvement

    Prioritize improvement projects by identifying poor performing buildings, buildings with increased consumption over time, and the energy types to target. At the organization level , examine the list of buildings for each metric (Benchmark, Peer Comparison, ENERGY STAR, and Baseline).
    • Which buildings are performing badly among many metrics? Prioritize these for energy audits and further physical investigation.
    • Which buildings have increased energy usage? Looking at the Reports tab, in which months was there increased usage? Investigate why this may have happened.
    • Looking at the Total Energy Dashboard Pie Charts on the Reports tab for each poorly performing building, which energy type is contributing the most to total energy consumption, cost, and CO2 emissions? Use this information to plan improvement projects. If for example, electricity accounts for 75% of energy costs, it would be prudent to investigate improvement projects such as lighting that would reduce the electric load and have the largest impact for reducing total building energy costs.
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