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A modeling technique is described for performing "energy audit" evaluations of residential and other small building structures.
English (United States)
This text was extracted from a PDF file.
This is the abbreviated version, containing approximately
69% of the total text.
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Energy Audit Via Instrumentation Data
A modeling technique is described for performing "energy audit" evaluations
of residential and other small building structures.
In accordance with the technique, building heating and cooling load
parameters are determined by properly evaluating certain instrumented building
and environmental data. More specifically, building temperature is recorded for
the structure over a given time period. During the same time period,
simultaneous measurement is made of the amount of heating or cooling required
by the building, and the outside ambient temperature and insulation. These
measurements may be continuous or sampled periodically throughout the period.
A linear model of heating load, for example, would then take the form: R(i) =
K(1) TB(i)-TA(i) +K(2)I(i)+K(3) TB(i)-1) +K(4)-HL(i) that Partial derivative sigma
R(i)/2/ over MSR(j)/2/ = 0 where i = 1, n J 4 and j = 1, 4 where TB = building
temperature, TA = outdoor temperature, I = isolation, and n = number of
measurement sets recorded for the time period.
The model accounts for conduction losses using the term K(1), insolation
gains (or losses) using the term K(2), internal heat storage using the term K(3),
and all other effects (e.g., internal heat generation) through K(4).
The long-term average heating load for the same time period for
which the model coefficients were determined can be estimated by:
HL (TIME PERIOD) = K(1)[TB-TA]+K(2)I+K(3)[TB(n)-TB(1)]+K(4)
the overbar (-) indic...