## 4 Discussion  
### Factors Affecting Key Features Analysis of ACU Power Consumption  
High outdoor temperatures and humidity levels impose substantial load requirements on cooling systems. These conditions affect ACU power consumption (Table 8). As stated in the _ASHRAE Handbook--HVAC Applications_ (2019), tropical climates exacerbate cooling loads, particularly in educational facilities with variable occupancy. The function of each room significantly affects cooling requirements:  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Statistic/Analysis** & **Cool Mode** & **Dry Mode** \\  & **(22 \({}^{\circ}\)C-26 \({}^{\circ}\)C)** & **(23 \({}^{\circ}\)C-25 \({}^{\circ}\)C)** \\ \hline \multirow{4}{*}{Dominant Mode} & 22 \({}^{\circ}\)C: Warmer (3) & 23 \({}^{\circ}\)C: Cooler (1) \\  & 23 \({}^{\circ}\)C-25 \({}^{\circ}\)C: No Change (1) & 24 \({}^{\circ}\)C: Cooler (1) \\  & 26 \({}^{\circ}\)C: Cooler (1) & 25 \({}^{\circ}\)C: No Change (2) \\  & 22 \({}^{\circ}\)C: 30.27 (\(p=\) 0) & - \\ \hline \multirow{4}{*}{Chi-Squared Statistic (\(\chi^{2}\))} & 23 \({}^{\circ}\)C: 37.13 (\(p=\) 0) & 23 \({}^{\circ}\)C: 38.11 (\(p=\) 1.0 \(\times\) 10\({}^{-5}\)) \\  & 24 \({}^{\circ}\)C: 15.41 (\(p=\) 0.0015) & 24 \({}^{\circ}\)C: 55.23 (\(p=\) 0.0027) \\  & 25 \({}^{\circ}\)C: 39.67 (\(p=\) 0) & 25 \({}^{\circ}\)C: 27.99 (\(p=\) 0.3654, \\  & 26 \({}^{\circ}\)C: 16.68 (\(p=\) 0.0008) & - \\ \hline \multirow{4}{*}{Proportion (Preference 1)} & 23 \({}^{\circ}\)C: 53.97\% & 23 \({}^{\circ}\)C: 43.04\% \\  & 24 \({}^{\circ}\)C: 39.68\% & 24 \({}^{\circ}\)C: 59.49\% \\ \cline{1-1}  & 25 \({}^{\circ}\)C: 53.97\% & 25 \({}^{\circ}\)C: 45.57\% \\ \cline{1-1}  & 23 \({}^{\circ}\)C: 23.81\% & 23 \({}^{\circ}\)C: 39.24\% \\ \cline{1-1}  & 24 \({}^{\circ}\)C: 19.05\% & 24 \({}^{\circ}\)C: 21.52\% \\ \cline{1-1}  & 25 \({}^{\circ}\)C: 15.87\% & 25 \({}^{\circ}\)C: 27.85\% \\ \hline \multirow{4}{*}{Proportion (Preference 3)} & 23 \({}^{\circ}\)C: 22.22\% & 23 \({}^{\circ}\)C: 17.72\% \\ \cline{1-1}  & 24 \({}^{\circ}\)C: 33.33\% & 24 \({}^{\circ}\)C: 19.00\% \\ \cline{1-1}  & 25 \({}^{\circ}\)C: 30.16\% & 25 \({}^{\circ}\)C: 26.58\% \\ \hline \hline \end{tabular}
\end{table}
Table 14: Comparison of thermal comfort preferences between cool and dry modes across ACU setpoints.  
* Laboratories with heat-generating equipment and group activities experience higher internal heat gains than lecture rooms with sedentary occupants.
* Offices--particularly single-occupant spaces--experience relatively stable but continuous cooling demands, influenced by electronic device usage and heat transfer from windows or walls.  
While this study assumes consistent operational patterns, factors such as class suspensions, maintenance activities, and non-class day usage may introduce variability. These events, while accounted for in occupancy data, could influence the representativeness of the dataset (Table 7). The building's construction materials, insulation, and dimensions also influence ACU power performance (Table 5); for instance, poor insulation or significant solar heat gain through windows can increase cooling loads. Elevation-induced psychometric variations also add complexity by altering cooling capacity and airflow dynamics.