| CPC F24F 11/63 (2018.01) [F24F 11/30 (2018.01); F24F 11/88 (2018.01); F24F 11/89 (2018.01); F24F 13/02 (2013.01); F24F 2110/12 (2018.01); F24F 2110/20 (2018.01)] | 20 Claims |
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1. A heating, ventilation, and air conditioning (HVAC) system comprising:
HVAC equipment configured to provide conditioned air to a conditioned space;
a humidity sensor;
at least one temperature sensor, which includes a conditioned air temperature sensor for the conditioned space; and
control circuitry operably coupled to the HVAC equipment, the at least one temperature sensor, and the humidity sensor, wherein
the humidity sensor, and the conditioned air temperature sensor are co-located in a thermostat,
the control circuitry is configured to at least:
obtain observations of a measured temperature by the at least one temperature sensor, wherein
the observations comprise an observation of a temperature from at least the conditioned air temperature sensor, and
the temperature is affected by the conditioned air temperature sensor being located in the thermostat,
obtain an observation of a measured dew point by the humidity sensor,
access a lumped-element model of the at least one temperature sensor in which a change in the measured temperature is expressed as a function of one or more independent variables including the measured temperature, and one or more unknown parameters including an ambient temperature of the conditioned space,
determine updated estimates of the one or more unknown parameters by performing a regression analysis of the lumped-element model, wherein
the regression analysis uses observations of the one or more independent variables that include the observations of the measured temperature and estimates of the one or more unknown parameters,
the one or more unknown parameters include an updated estimate of the ambient temperature,
the updated estimates of the one or more unknown parameters are determined, at least in part, by accessing a relative humidity model,
determining a predicted dew point by applying the estimates of the one or more unknown parameters to the relative humidity model, wherein
the regression analysis includes a regression analysis of the relative humidity model, which is based, at least in part, on an observation of the measured dew point and the estimates of the one or more unknown parameters, and
determining an updated predicted dew point
based, at least in part, on an error between the predicted dew point and the observation of the measured dew point,
update the one or more unknown parameters of the lumped-element model to the updated estimates of the one or more unknown parameters,
determine the updated estimate of the ambient temperature using the updated lumped-element model of the conditioned air temperature sensor,
determine a value of the ambient temperature from the updated estimate of the ambient temperature and the updated predicted dew point, and
control the HVAC equipment based, at least in part, on the value of the ambient temperature.
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