Note: Performance analysis charts are available for individual meter data. Buildings and groups show streamlined summary metrics.
The performance analysis tab includes several tools that help you understand your building’s energy behavior in more detail. Each chart examines your meter’s data from a different angle: how demand is distributed, how your building responds to temperature, how daily patterns compare across the week, and where operational drift is occurring.
Load duration
The load duration curve shows a cumulative percentage relationship: as you trace your cursor over the line, you’ll see a demand kW reading and a percentage. For example, a reading of 10% at 600 kW tells you that 10% of the time, your meter’s demand is at 600 kW or higher.
If the curve is steep, that suggests demand management strategies might be particularly effective for your building.
The hours at load graph adds another layer of detail by showing how many hours over the past year your meter spent in each 20 kW demand bucket. Trace your cursor over the bars for an individual hours reading in each bucket.
Temperature response
The temperature response chart shows how your building’s energy use changes with outdoor temperature. Three types of response curves are available:
- Solid lines show the average kW expected for your building at each temperature level and time of day. These calculations use 12 months of actual energy data, with recent usage patterns weighted more heavily.
- Dotted baseline lines are an equal-weighted average of all historical data, with no recency weighting. Comparing solid lines to dotted baselines reveals recent changes in energy patterns.
- The vertical balance point line marks where mechanical cooling typically begins.
You can toggle the open, closed, and daily curves on or off via the chart legend. The line width along the x-axis represents the temperature range your building has experienced throughout the year.
How to read the curves: A line that slopes up and to the right indicates cooling load; a line that slopes down and to the right indicates heating load. For typical office buildings, compare the solid lines to the dotted baselines to spot changes in shutdown and startup times or shifts in temperature sensitivity.
Day of week
These average daily load curves are based on the trailing twelve months of data. If a full year isn’t available, the average uses whatever data exists.
Click each day on or off in the chart legend to isolate one or more days on the graph. This is useful for comparing weekday patterns to weekends, or spotting a single day that behaves differently from the rest.
Operational variance
The operational variance chart helps you spot drift in your building’s daily operating patterns over time.
Each day of the year is represented by a square on the heatmap below the graph. Click any square to trace that day’s interval data on the graph above; scroll along the load curve for interval-by-interval readings.
Isolated operational metrics
The heatmap can be filtered to show specific metrics. In each case, blue squares indicate better performance and red squares indicate potential issues:
- Early startup: Based on the average startup time for the trailing twelve months. A blue square means the building started later in the day (closer to schedule); red means earlier than average.
- Late shutdown: Based on the average shutdown time for the trailing twelve months. Blue means the building shut down earlier; red means later.
- Elevated baseload: Based on the current baseload kW benchmark for the meter, calculated only during off-hours. Blue means baseload was below the benchmark; red means above.
Helpful Hint: The operational variance heatmap is one of the fastest ways to spot scheduling drift. If you see a band of red squares appearing over several weeks, something changed in your building’s operations and it’s worth investigating.