Advanced Building Simulation
Advanced Building Simulation
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.