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Fault Detection and Diagnostics for Rooftop Air Conditioners

Fault Detection and Diagnostics for Rooftop Air Conditioners

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th<br />

where the i output variable<br />

y i<br />

is the calculated value,<br />

β oi ,<br />

- β 9,i<br />

are the regression<br />

T chwi<br />

coefficients, is the chiller water inlet temperature, T is the cooling water<br />

temperature into the condenser, <strong>and</strong> Z are variables indicating the number of cylinders<br />

in operation. Regression coefficients were determined using a multivariate leastsquares<br />

method applied to 8000 operating data points which were assumed to be faultfree.<br />

The R<br />

2 statistic of the regression indicated that the fit to the data was quite<br />

accurate <strong>for</strong> almost all of the variables which were used in the FDD routine.<br />

To create residuals to use in fault diagnosis, a black box model was used by Stylianou<br />

<strong>and</strong> Nikanpour (1996) to predict values <strong>for</strong> internal temperatures <strong>and</strong> pressures. The<br />

model uses two input variables, the water inlet temperature into the condenser <strong>and</strong><br />

evaporator, <strong>and</strong> a simple linear equation <strong>for</strong> all of the output variables as given by<br />

y i = β 0,<br />

i + β1,<br />

iTchwi<br />

+ β2,<br />

i<br />

T<br />

cwi<br />

cwi<br />

th<br />

where the i output<br />

y i<br />

is the calculated value, β 0<br />

- β 2<br />

are the regression coefficients,<br />

T chwi<br />

is the chiller water inlet temperature, <strong>and</strong> T<br />

is the cooling water temperature<br />

into the condenser. The parameters of the model were determined using a<br />

multivariate least-squares analysis. The results showed an excellent fit to the<br />

experimental data, although the data only covered a relatively small range of<br />

evaporator inlet water temperatures (50º-59ºF) <strong>and</strong> condenser inlet water temperatures<br />

(72º-93º F).<br />

In addition to developing the FDD method considered in his thesis, Rossi (1995) also<br />

suggested some models <strong>for</strong> rooftop air conditioning units <strong>for</strong> use with his method.<br />

The per<strong>for</strong>mance of a rooftop air conditioner with fixed flow rates is a function of the<br />

condenser <strong>and</strong> evaporator inlet air temperatures <strong>and</strong> the moisture content of the<br />

evaporator inlet air. The moisture content can be represented using a relative<br />

humidity, dew point temperature, or wet bulb temperature. There are two modes of<br />

operation <strong>for</strong> a typical cooling coil, wet <strong>and</strong> dry. The coil is defined as wet when<br />

water is being removed from the air stream in addition to heat. When the coil is wet,<br />

the energy transfer to the coil is driven primarily by the difference between the<br />

temperature of the evaporating refrigerant <strong>and</strong> the wet bulb temperature of the air,<br />

independent of dry bulb temperature alone. When the coil is dry, the heat transfer is<br />

driven by the difference between the coil <strong>and</strong> the dry bulb temperature of the air,<br />

cwi<br />

9

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