# Sustainable Building Tool by Energy Baseline: Case Study
## 4 Analysis and Results
### EnBL Simulation Model  
Simulation is another methodology to obtain EnBL. This technique consists of designing a model for a real system and experimenting with it in order to understand the energy performance of the building.  
The energy simulation of the building is carried out using an internationally recognized software, Design Builder, with the EnergyPlus calculation engine.  
This simulation model has been calibrated with experimental data measured by monitoring through a Building Management System (BMS) system.  
Figure 10 shows the difference between energy consumption (typical year) and measured data by monitoring, where it can be seen that the months with the lowest energy consumption correspond to January, June, and December; these months are vacation days in the university calendar.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Month**} & \multicolumn{2}{c}{**Actual**} & \multicolumn{2}{c}{**Estimated**} & \multirow{2}{*}{**Difference**} & \multirow{2}{*}{**MAPE**} \\  & **Consumption** & & & \\  & **[kWh]** & & & \\ \hline Feb & 18,282.015 & 16,856.33 & 1425.69 & 7.8\% \\ Mar & 19,292.99 & 17,034.45 & 2258.54 & 11.7\% \\ Apr & 14,801.464 & 16,635.44 & \(-\)1833.98 & 12.4\% \\ May & 19,712.776 & 18,203.96 & 968.82 & 5.1\% \\ Jun & 12,369.744 & 11,610.77 & 758.98 & 6.1\% \\ Jul & 21,059.361 & 19,072.51 & 1986.85 & 9.4\% \\ Aug & 24,720.47 & 24,325.69 & 394.78 & 1.6\% \\ Sept & 23,052.766 & 23,387.98 & \(-\)335.21 & 1.5\% \\ Oct & 21,967.904 & 21,814.02 & 153.88 & 0.7\% \\ Nov & 17,373.539 & 19,235.86 & \(-\)1862.32 & 10.7\% \\ Dec & 10,455.589 & 9973.85 & 481.73 & 4.6\% \\ \hline \hline \end{tabular}
\end{table}
Table 7: Comparison of estimated energy consumption of EnBL with the monitored energy consumption of the building and the MAPE.  
At the same time, the error between the simulated and experimentally measured energy consumption is reduced, adjusting the simulated model to an annual error of less than 1%. There are 4 months that slightly exceed 10%.  
The energy demand is satisfied by the final electrical energy; it is partly generated with the renewable PV system available in the building, and another part is supplied by the grid.  
Table 8 shows the data obtained by calibrating the EnergyPlus simulated model of the building.  
Figure 11 shows the energy consumption broken down by items for the building.  
Figure 2 shows the emissions generated in the building on a monthly basis and an annual basis (Figure 12). Thus, in addition to achieving the LBEn, it informs us of the building's operational carbon footprint and how to improve it.  
The simulation model not only assists in the validation and selection of energy baselines for buildings but also provides a framework for ensuring the validity of forecast results and the use of appropriate indicators, ultimately filling regulatory gaps in terms of mathematical and statistical models required for norm compliance.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Month** & \
\begin{tabular}{c} **Measured** \\ **Consumption** \\ \end{tabular} &
\begin{tabular}{c} **Simulated** \\ **Consumption** \\ \end{tabular} & **Error** \\ \hline Jan & 8621 & 8120 & 5.81\% \\ Feb & 19,672 & 20,661 & 5.03\% \\ Mar & 20,782 & 23,918 & 15.09\% \\ Apr & 17,120 & 17,903 & 4.57\% \\ May & 20,919 & 18,995 & 9.20\% \\ Jun & 10,869 & 10,040 & 7.63\% \\ Jul & 11,163 & 9565 & 14.32\% \\ Aug & 18,805 & 20,482 & 8.92\% \\ Sep & 18,620 & 18,943 & 1.74\% \\ Oct & 17,007 & 18,807 & 10.59\% \\ Nov & 14,861 & 13,418 & 9.71\% \\ Dec & 8023 & 7086 & 11.67\% \\ Total & 186,462 & 187,938 & 0.79\% \\ \hline \hline \end{tabular}
\end{table}
Table 8: Monitored and simulated power consumption values.  
Figure 10: Simulated vs. monitored energy consumption.