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Advanced Building Simulation

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64 Degelman<br />

3.4 Model for temperatures<br />

3.4.1 Deterministic model<br />

The modeling of temperatures uses both deterministic methods and stochastic methods.<br />

The deterministic portion is the shape of the diurnal pattern. This shape is fairly<br />

consistent from day to day as shown in Figure 3.1, even though the values of the<br />

peaks and valleys will vary.<br />

After the morning low temperature (Tmin) and the afternoon high temperature<br />

(Tmax) are known, hourly values along the curve can be closely estimated by fitting a<br />

sinusoidal curve between the two end-points. Likewise, after the next morning’s low<br />

temperature (Tmin1) is known, a second curve can be fit between those two endpoints.<br />

Derivation of the hourly values then can be done by the following equations.<br />

From sunrise to 3:00 p.m.<br />

T t�T ave0�(�T/2) cos[�(t�t R)/(15�t R)] (3.1)<br />

where, T t is the temperature at time t; T ave0, the average morning temperature, (T min�<br />

T max)/2; �T, the diurnal temperature range, (T max�T min); �, the universal value of<br />

PI �3.1415927; t R, the time of sunrise; and 15, the hour of maximum temperature<br />

occurrence (used as 3:00 p.m.).<br />

From 3:00 p.m. to midnight<br />

T t�T ave1�(�T�/2) cos[�(t�15)/(t R��9)] (3.2)<br />

where T t, is the temperature at time t; T ave1, the average evening/night temperature,<br />

(T max�T min1)/2; �T�, the evening temperature drop, (T max�T min1); and t R�, the time<br />

of sunrise on next day.<br />

From midnight to sunrise the next day<br />

T t�T ave1�(�T�/2) cos[�(t�9)/(t R��9)] (3.3)<br />

The time step can be chosen to be any value. Most energy simulation software uses<br />

1-h time steps, but this can be refined to 1-min steps if high precision is required. The<br />

thermal time lag of the building mass usually exceeds 1h, so it is not necessary to use<br />

a finer time step than 1h; however, a finer time step may be desirable when simulating<br />

T ave = T min + T max<br />

2<br />

T max<br />

Tmin Tmin1 Sunrise 3:00 p.m. Sunset Sunrise<br />

Figure 3.1 Characteristic shape of the daily temperature profile.<br />

This symbol indicates<br />

statistically-derived<br />

max–min data points.

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