## 3 Results
### Variation of the Specific Parameters in the Model
The presence of users (P-1 to P-3), which was based on the carefully observed actual use of offices and was primarily determined for the validated model, was changed to rough percentages: 75%, 50% and 25% presence of the anticipated number of users in the offices during the working time (Table 2). Similarly, the data for the use of artificial lighting was changed from the data that was very accurately defined and used in the validated model, to rough values in percentages in three the variations (L-1 to L-3): 75% and 50% of artificial light activation, and a combination 35% (cooling season) and 75% (heating season) of artificial light activation (Table 2). As regards the presence of users (and the associated operation of devices), the closest result for the heating and cooling energy was calculated for variation P-2. The presence of users in P-2 is simplified to 50% of the anticipated number of users in the working hours. In fact, in the variation P-2, the total energy use deviated slightly more (3.4%) than in P-3, in which the presence is simplified to 25% (1.4%). However, when observing each season, the matching of results with a validated model are much closer (4.6% higher in the heating season and 2.4% higher in the cooling season). Additionally, the average air temperatures matched better with the validated model in the case of P-2 than in the case of P-1 (Figure 4). Since the use of artificial light is related to the season, it was also logical that the result of the simulations for variation L-3 was the best approximation to the result of the validated model. The use \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline
**Jan** & **Feb** & **Mar** & **Apr** & **May** & **Jun** & **Jul** & **Aug** & **Sep** & **Oct** & **Nov** & **Dec** \\ \hline
0.40 & 0.45 & 0.60 & 0.65 & 0.70 & 0.70 & 0.70 & 0.70 & 0.65 & 0.60 & 0.40 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Estimated common average shading coefficients for all the windows of the model. of energy in the variation L-3, which is a combination of 35% of artificial light activation in cooling season and 75% in the heating season, exceeded the one simulated on the validated model in the heating season by 2.0%. In the cooling season, the simulated energy for variation L-3 was 1.9% lower than the energy simulated with the validated model. Finally, the result of the year-round energy use of the variation L-3 was only 0.2% lower than the result for the validated model. Similarly, we completed the comparison of the calculated average indoor air temperatures: the results were the most favorable for the variation L-3 (Figure 4). Important advanced information was obtained with the previous analysis. This showed that the largest effect was caused by the user's adjustments of the temperature setting with the room temperature controllers. Consequently, we tried to find the temperature settings for our model that would be closer to this real use in the offices. It should be mentioned that similar users' behavior is shown by other research studies: temperature settings in rooms are often slightly modified, i.e., raised during the heating mode and reduced in the cooling mode [42]. For this reason, an analysis of the adjustment of setting the temperature for the room temperature controllers was performed in three variations (T-1 to T-3). The analysis included the cooling mode only, since the main effect was detected during this particular period, and the settings were as follows: 24 \({}^{\circ}\)C, 23.5 \({}^{\circ}\)C and 23 \({}^{\circ}\)C (Table 2). The results for the energy use in the cooling season in versions T-2 (23.5 \({}^{\circ}\)C) and T-3 (23.0 \({}^{\circ}\)C) were 7.4% lower or 7.9% higher, respectively, than the value obtained with the validated model. At the level of annual energy use, the effect in T-2 is slightly higher (6.1%) than in T-3 (2.4%). However, since in the case of T-2, the use of energy was lower than in the validated model, the latter was chosen as the most appropriate.