## 3 Results and Discussion  
The existence of two buildings with the same energy rating, located opposite each other and housing the same type of activity, in this case, university faculties, allows for the determination of specific heating demand and base electrical consumption. Leveraging this similarity, the SCOP, specific primary energy consumption, emissions, and energy recovery (ER) utilization of Building B2, which employs a VRF system for heating, are evaluated. The methodology applied to obtain specific base electrical and thermal consumption follows the framework outlined in Figure 3.  
To conduct this study, electricity (E) and natural gas (NG) consumption data from 2018 are utilized to determine the specific base final electricity year \(\left(e_{EB}^{2018}\right)\) for Building B1. Subsequently, consumption data from 2022, during which both B1 and B2 were operational, are used to determine the specific heating demand in 2022 \(\left(d_{H}^{2022}\right)\) and specific base final electricity consumed by VRF in 2022 \(\left(e_{VVFE}^{2022}\right)\). The consumption of NG and E per month \begin{table}
\begin{tabular}{c c c} \hline \hline  & \multicolumn{2}{c}{**Climate of the Zone (RCZ) (D2)**} \\
**Month** & \(\mathbf{T_{s}^{RCZ}}\) & \(\mathbf{H^{RCZ}}\) \\  & (\(\mathbf{{}^{C}}\)) & (\%) \\ \hline January & 4.8 & 74.7 \\ February & 6.4 & 65.4 \\ March & 8.2 & 62.4 \\ April & 10.5 & 59.1 \\ May & 14.4 & 58.9 \\ June & 18.2 & 50.4 \\ July & 22.1 & 42.5 \\ August & 21.7 & 43.7 \\ September & 18.7 & 52.1 \\ October & 13.7 & 63.9 \\ November & 8.1 & 71.1 \\ December & 5.2 & 74.1 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Average temperature and relative humidity of RCZ D2. Figure 3: B1 and B2 consumption. and reference year involves the application of conversion factors between power consumption and primary energy (EP), as well as the associated CO\({}_{2}\) emissions from the installation. These factors are sourced from the Spanish government [44]. For conventional electricity, the primary energy-to-power consumption conversion factor is 2.403 kWh (E\({}_{\text{P}}\))/kWh (E\({}_{\text{F}}\)), while the CO\({}_{2}\) emissions, the factor is 0.331 kg CO\({}_{2}\)/kWh (E\({}_{\text{F}}\)). In the case of natural gas, the conversion factor is 1.195 kWh (E\({}_{\text{P}}\))/kWh (E\({}_{\text{F}}\)), with a CO\({}_{2}\) emissions factor of 0.252 kg CO\({}_{2}\)/kWh (E\({}_{\text{F}}\)). Energy consumption (electricity and natural gas) of B1 and B2 is presented in Table 5.  
To evaluate the electricity consumption of the campus, monitoring data were analyzed. This analysis accounts for multiple energy demands, including the electricity required for pumping thermal fluid to the air conditioning system powered by the Low-Temperature Condensing Boiler (LTCB) as well as the energy consumed by heat pumps (HPs) that condition the building's towers. Additionally, lighting-related electricity consumption is considered, noting that Building B1 is equipped with fluorescent luminaires with ballasts, which results in higher energy use compared to the LED lighting system installed in Building B2. These differences are factored into the calculations to accurately estimate and compare the base electricity consumption of both buildings. Figure 4 shows the distribution of electricity consumption for Building B1. Figure 4: Distribution of B1’s electricity consumption.