Systems and methods for detecting changes in energy usage in a building
First Claim
1. A building management system comprising:
- a plurality of sensors measuring a physical state or condition and generating sensor data indicating the physical state or condition measured by the plurality of sensors; and
a controller configured to;
use first sensor data from the plurality of sensors collected during a first time period to generate one or more first model coefficients for an energy usage model for HVAC equipment, the energy usage model configured to provide an energy usage of the HVAC equipment as a function of one or more model coefficients and one or more variables, wherein the energy usage of the HVAC equipment is an output of the energy usage model, the one or more model coefficients are parameters of the energy usage model, and the one or more variables are inputs to the energy usage model;
use second sensor data from the plurality of sensors collected during a second time period to generate one or more second model coefficients for the energy usage model;
generate a test statistic by comparing the first model coefficients and the second model coefficients;
compare the test statistic with a value; and
automatically identify a change in the energy usage of the HVAC equipment in response to the test statistic exceeding the value.
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Abstract
A method for operating HVAC equipment includes obtaining building data for each of a plurality of time steps. The building data relates to resource usage of HVAC equipment. The method also includes calculating a recursive residual for each of a plurality of overlapping time periods using the building data. Each overlapping time period includes a subset of the plurality of time steps. The method also includes, for each of the plurality of time steps, calculating a metric based on the recursive residuals for overlapping time periods that end on or before the time step and automatically detecting a change in static factors for one or more buildings served by the HVAC equipment by comparing the metrics for the plurality of time steps based on a statistical property of the metrics.
370 Citations
27 Claims
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1. A building management system comprising:
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a plurality of sensors measuring a physical state or condition and generating sensor data indicating the physical state or condition measured by the plurality of sensors; and a controller configured to; use first sensor data from the plurality of sensors collected during a first time period to generate one or more first model coefficients for an energy usage model for HVAC equipment, the energy usage model configured to provide an energy usage of the HVAC equipment as a function of one or more model coefficients and one or more variables, wherein the energy usage of the HVAC equipment is an output of the energy usage model, the one or more model coefficients are parameters of the energy usage model, and the one or more variables are inputs to the energy usage model; use second sensor data from the plurality of sensors collected during a second time period to generate one or more second model coefficients for the energy usage model; generate a test statistic by comparing the first model coefficients and the second model coefficients; compare the test statistic with a value; and automatically identify a change in the energy usage of the HVAC equipment in response to the test statistic exceeding the value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A controller for HVAC equipment, comprising:
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one or more processors; and non-transitory computer-readable media communicably coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to; generate a first energy usage model for HVAC equipment using first data from a building management system collected during a first time period, the first energy usage model predicting a first value of an energy usage of the HVAC equipment as an output of the first energy usage model as a function of coefficients of the first energy usage model; generate a second energy usage model for the HVAC equipment using second data from the building management system collected during a second time period, the second energy usage model predicting a second value of the energy usage of the HVAC equipment as an output of the second energy usage model as a function of coefficients of the second energy usage model; and determine that a change affecting the energy usage of the HVAC equipment has occurred by comparing the coefficients of the first energy usage model with the coefficients of the second energy usage model. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for operating HVAC equipment, comprising:
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obtaining building data for each of a plurality of time steps, the building data relating to resource usage of HVAC equipment; calculating a recursive residual for each time step in a subset of the plurality of time steps using the building data; calculating, for each of the time steps in the subset, a metric based on the recursive residual for the time step and the recursive residuals for preceding time steps in the sub set; automatically detecting a change in static factors for one or more buildings served by the HVAC equipment by comparing the metrics based on a statistical property of the metrics. - View Dependent Claims (20, 21, 22, 23, 24)
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25. A controller for HVAC equipment, comprising:
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one or more processors; and non-transitory computer-readable media communicably coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to; use first sensor data collected during a first time period to generate one or more first model coefficients for an energy usage model for HVAC equipment; use second sensor data collected during a second time period to generate one or more second model coefficients for the energy usage model; combine the first model coefficients and the second model coefficients using a mathematical operation to generate a test statistic; and automatically identify a change in energy usage of the HVAC equipment based on the test statistic. - View Dependent Claims (26, 27)
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Specification