# Assessment of Batteries' Contribution for Optimal Self-Sufficiency in Large Building Complexes
## 2 Materials and Methods  
Studying and comparing five hotels based on the hourly consumption of one year, and specifically for the year 2022, a common characteristic of all five hotel units is found to be the significant increase in demand during the months from April to October, as the specific hotels are located in the island of Crete, where the influx of tourists is higher. From the collected data, the total consumption of each hotel is extracted, as well as the maximum hourly demand of the year, and organized in Table 1.  
Figure 1 below shows the annual consumption and maximum value, constructed based on the values in Table 1. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Hotel 1** & **Hotel 2** & **Hotel 3** & **Hotel 4** & **Hotel 5** \\ \hline Yearly Consumption (kWh) & 5,394,446.9 & 904,831.9 & 973,294.2 & 2,142,032.8 & 3,827,135.5 \\ \hline Hourly Max Consumption (kWh) & 1598.6 & 372.3 & 285.2 & 628.8 & 1187.7 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Total energy consumption and power peaks for all hotels. Figure 1: Annual and maximum hourly consumption for all hotels in 2022. By acquiring the data of the plot's surface area occupied by each hotel, as well as the available rooms (see Table 2), a comparison can be made in relation to the area and the consumption of these 5 hotels. The consumption of each hotel depends not only on the size of the plot and the number of rooms but mainly on the facilities where the highest portion of consumption is concentrated. Hotel 1, which requires the highest amount of energy, has very large facilities in terms of area and quality. Therefore, the consumption of a hotel depends on various factors, such as the area, the number of customers it serves, and the comfort and luxury it offers. In Table 3, the number of stars is shown next to each hotel's name, and the type of facility along with the corresponding number for each hotel is catalogued. In a further analysis of the data of each hotel, Table 4 is drawn to depict the percentage of energy occupied by the rooms per year as well as the average consumption per room. This specific profiling conducted for the hotels leads to the conclusion that the average consumption of the rooms does not indicate a large deviation for hotels with the same number of stars. The differences between the hotels are caused by the offer of different facilities in each hotel and the dependency on the quality and stars. The former is the most impactful on the total consumption, as can be concluded by analyzing the overall profile of Hotel 1. This specific hotel has fewer stars than Hotels 4 and 5, yet surpasses them in its total number of available facilities, making it the most energy-demanding hotel. This is usually unlikely, since the reason behind the smaller consumption rate of the hotels with \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Hotel 1** & **Hotel 2** & **Hotel 3** & **Hotel 4** & **Hotel 5** \\ \hline Room occupancy rate & 13\% & 30\% & 32\% & 15\% & 21\% \\ \hline Consumption Per Room (kWh) & 1706 & 675 & 760 & 1236 & 1236 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Total room consumption rate and consumption per room. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Hotel 1** & **Hotel 2** & **Hotel 3** & **Hotel 4** & **Hotel 5** \\ \hline Rooms & 411 & 402 & 410 & 260 & 650 \\ \hline Surface Area (m\({}^{2}\)) & 384,451.4 & 283,279.9 & 28,327.99 & 465,388.5 & 607,028.5 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Characteristics of all hotels.