## 3 Results and Discussion
established thermal modeling principles and experimental validation, providing a robust basis for calculating the electricity consumption attributed to HPs in B1. To calculate the SCOP for aerothermal energy of centralized equipment in the corresponding climatic zone, the standard UNE-EN 14285:2024 is used [40]. This involves obtaining the Power Factor (PF), which is 0.75, and CF, which is 1, for a condensation temperature of 40 \({}^{\circ}\)C. The SCOP results for the Mitsubishi equipment (PURY 400) are 2.820, and for the Mitsubishi equipment (PKZ-50 VHHAL), the result is 2.715. The data used and the power consumption by HPs are presented in Table 7.  
The excess consumption of the lighting system in Building B1 due to the type of luminaires is based on the following data. Firstly, Building B1 is equipped with a fluorescent lighting system with electronic ballasts, totaling 106,409 W. Secondly, Building B2 is equipped with LED lighting, with an installed lighting power of 76,761 W. A 20% overconsumption of fluorescent lights with ballasts compared to LED lights has been considered. The operating hours are determined based on the opening schedule: winter hours from 8 a.m. to 10 p.m. from Monday to Friday and summer hours from 9 a.m. to 2 p.m. Monday to Friday. A lighting switch-on simultaneity factor of 60% is applied. Table 8 presents the annual operating hours and the excess consumption due to electronic ballasts. \begin{table}
\begin{tabular}{c c c c c} \hline \multirow{2}{*}{**Month**} & \multicolumn{1}{c}{\(\mathbf{E_{CN}^{2018}}\)} & \(\mathbf{d_{H}^{2018}}\) & \(\mathbf{D_{H-HP}^{2018}}\) & \(\mathbf{E_{E-HP}^{2018}}\) \\  & **(kWh)** & **(kWh/m2)** & **(kWh)** & **(kWh)** \\ \hline January & 255,323 & 43.60 & 32,496 & 11,524 \\ February & 268,098 & 45.78 & 34,122 & 12,100 \\ March & 234,103 & 39.98 & 29,796 & 10,566 \\ April & 140,019 & 23.91 & 17,821 & 6319 \\ May & - & - & - & - \\ June & - & - & - & - \\ July & - & - & - & - \\ August & - & - & - & - \\ September & - & - & - & - \\ October & 27,129 & 4.63 & 3453 & 1224 \\ November & 190,751 & 32.57 & 24,278 & 8609 \\ December & 134,473 & 22.96 & 17,115 & 6069 \\ \hline \end{tabular}
\end{table} 
Table 7: Power consumption by HPs in Building B1. \begin{table}
\begin{tabular}{c c c c c} \hline \multirow{2}{*}{**Month**} & \multirow{2}{*}{**Working Days**} & \multirow{2}{*}{**Schedule**} & \multicolumn{2}{c}{**Working Hours**} & \(\mathbf{E_{E-L}^{2018}}\) \\  & & & **(h)** & **(kWh)** \\ \hline January & 18 & Winter (14 h) & 252 & 3.218 \\ February & 20 & Winter (14 h) & 280 & 3.575 \\ March & 20 & Winter (14 h) & 280 & 3.575 \\ April & 14 & Winter (14 h) & 196 & 2.503 \\ May & 22 & Winter (14 h) & 308 & 3.933 \\ June & 21 & Winter (14 h) & 294 & 3.754 \\ July & 23 & Summer (5 h) & 115 & 1.468 \\ August & 15 & Summer (5 h) & 75 & 958 \\ September & 8 & Summer (5 h) & & 2.656 \\ October & 12 & Winter (14 h) & 208 & 2.656 \\ November & 22 & Winter (14 h) & 308 & 3.933 \\ December & 20 & Winter (14 h) & 280 & 3.575 \\ December & 12 & Winter (14 h) & 168 & 2.145 \\ \hline \end{tabular}
\end{table} 
Table 8: Surplus in electricity consumption in Buildings B1 and B2. The calculated base electricity consumption is determined by subtracting the consumptions related to pumping, HP, and lighting from Building B1's electricity consumption (Table 9). To determine the electricity consumption of the VRF systems during the winter period in Building B2 in 2022, it is considered that the energy consumed in 2022, during which both buildings (Buildings B1 and B2) were operational, is distributed as indicated in Figure 5.  
The consumptions are carried out with the same considerations as those made for determining the base consumption of B1, as described above. It is assumed that the specific base electricity consumption from 2018 will remain constant in 2022. The results of each consumption term are presented in Table 10.  
Figure 5: Electricity consumption in campus buildings (B1 and B2).