The end-use disaggregation function separates bulk energy consumption into its major constituent end-uses and calculates its energy use intensities.

Outputs

Figures

The end-use disaggregation function generates weekly energy use intensity profiles of major end-uses for electricity, cooling, and heating energy use separately to help illustrate energy use patterns. Figure 1 below is an example of this visual.

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Figure 1: Example plot of weekly energy use intensity profiles of common major end-uses.

Key Performance Indicators (KPIs)

The end-use disaggregation function calculates the total energy use intensity for each major end-use for electricity, cooling, and heating energy use separately. If multiple AHUs are detected (i.e., multiple files containing AHU-level HVAC network trend log is supplied), the energy use intensity for each AHU's cooling coil and heating coil is calculated separately. For example, if three (3) AHUs were detected, the energy use intensities for the AHU heating coils would be provided as [NUM NUM NUM], whereby 'NUM' represents the calculated energy use intensities for each consecutive AHU's heating coil. Tables 1, 2, and 3 below are an example of the calculated total energy load intensities for heating, cooling, and electricity, respectively, assuming two (2) AHUs were detected.

End-use Total space heating load intensity (kWh/m2)
Perimeter heating devices 5
Heating coils [per AHU] [21 23]
Other [8]
Table 1: Example output of calculated total space heating load intensity.
End-use Total space cooling load intensity (kWh/m2)
Cooling coils [per AHU] [17 16]
Table 2: Example output of calculated total space cooling load intensity.
End-use Total electricity load intensity (kWh/m2)
Fands & pumps 19
Lighting & plug-in loads 92
Chillers 89
Table 3: Example output of calculated total electricity load intensity.
Actively in development, an open-source project by the Data-driven Building Operation and Maintenance team within Carleton University's Building Performance Research Center.