9.3. Evaluation with temporally highly resolved data

Typical climate reference data provides time series with hourly time intervals. To be able to perform dynamic simulations with sub-hourly intervals, the data is typically interpolated. However, this interpolated data usually does not reflect the true dynamic behaviour of the environmental parameters. This is especially true for irradiance parameters, where, e.g. broken cloud cover leads to characteristic time profiles with high gradients. In order to capture the reaction of the glazing in this environment, measured data of the AEE INTEC weather station (AEE INTEC, 2023) with a high temporal resolution of 1 min is used for the simulation. Figure 151 shows the related simulation results. The simulated case assumes a shading of the window with a horizontal (0°) slat position from December 22th to December 25th. It can be seen how the individual panes specifically absorb the incoming radiation. In the analysed period, 11.1% of the total incident irradiance is absorbed by pane 1, 3.2% by pane 2 and 3.8% by pane 3. The absorption of the inner two panes is significantly lower than that of the first pane, as the absorption in the glass and coating of the outer pane means that already spectrally filtered light will reach the inner panes. The centre pane shows less absorption than the inner pane, as only the latter has a low-E coating applied.
The 18.1% of the incident irradiance absorbed by all three panes effectively leads to a solar-related (secondary) internal heat flux of 8.9%. It can be attributed directly to the absorbed radiation and the resulting increase of the related heat transfers. Correlation analysis reveals that the effective time lag between the incident solar radiation and the resulting internal heat flow due to the thermal masses involved is as long as 90 minutes on average. This represents an interesting finding of the analysis performed with high temporal resolution