## 6 Results and Discussion  
This study aimed to conduct empirical research to increase energy independence in the field of architecture. A shading structure composed of solar panel modules was selected as the research subject because, first, the shading structure itself is light and can be easily installed in an external space. As the structure is easy to install, various shading structure designs that utilize natural environments, such as trees, can be proposed. In addition, solar panels of various colors created through advancements in solar panel materials have the potential to be used as creative design elements for shaded structures (Figure 6). Second, the shading structure is directly exposed to sunlight; therefore, it is the optimal architecture to apply an active energy design that produces renewable energy from sunlight. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Month**} & \multicolumn{2}{c}{**Total Area of Solar Modules**} & \multirow{2}{*}{**Optimal Tilt Angle**} & \multirow{2}{*}{**Energy Generation**} & \multicolumn{2}{c}{**Fixed Optimal**} & \multirow{2}{*}{**Energy Generation**} \\  & & & & & **Tilt Angle** & **Generation** \\ \cline{2-5}  & \(\mathbf{m}^{-2}\) & \(\boldsymbol{\beta}\) & \(\mathbf{kWh\cdot Month^{-1}}\) & \(\boldsymbol{\beta}\) & \(\mathbf{kWh\cdot Month^{-1}}\) \\ \hline January & 20 & 56.8\({}^{\circ}\) & 2112 & 50\({}^{\circ}\) & 2023 \\ February & 20 & 48.5\({}^{\circ}\) & 2442 & 50\({}^{\circ}\) & 2434 \\ March & 20 & 38.3\({}^{\circ}\) & 3169 & 50\({}^{\circ}\) & 3162 \\ April & 20 & 26.6\({}^{\circ}\) & 2654 & 50\({}^{\circ}\) & 2505 \\ May & 20 & 17.7\({}^{\circ}\) & 3173 & 50\({}^{\circ}\) & 2750 \\ June & 20 & 13.4\({}^{\circ}\) & 3474 & 50\({}^{\circ}\) & 2780 \\ July & 20 & 15.5\({}^{\circ}\) & 1979 & 50\({}^{\circ}\) & 1669 \\ August & 20 & 23.9\({}^{\circ}\) & 2877 & 50\({}^{\circ}\) & 2622 \\ September & 20 & 35.3\({}^{\circ}\) & 2899 & 50\({}^{\circ}\) & 2846 \\ October & 20 & 47.0\({}^{\circ}\) & 2713 & 50\({}^{\circ}\) & 2702 \\ November & 20 & 55.1\({}^{\circ}\) & 2115 & 50\({}^{\circ}\) & 2090 \\ December & 20 & 59.1\({}^{\circ}\) & 1963 & 50\({}^{\circ}\) & 1907 \\ \hline \hline \multicolumn{5}{c}{Total energy generation} & 31,570 kWh-year\({}^{-1}\) & 29,490 kWh-year\({}^{-1}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Solar energy generated according to optimal tilt angle and fixed optimal tilt angle (50\({}^{\circ}\)) from January to December. Figure 5: Solar panel module simulation generated by entering the optimal tilt angle of 35.3\({}^{\circ}\) corresponding to September 2023 into the Insight software. The shaded structure was constructed using a parametric design process. Parametric design is a process wherein a design is completed by inputting limited data into an algorithm built by a designer. Parametric design is evolving with the development of various software programs. In this study, a shading structure was implemented in a virtual space using Autodesk Revit. The Revit program is a preliminary step in applying parametric design and ensures that all the elements that constitute a building are implemented in a three-dimensional space. After the shading structure was built using the Revit program, an algorithm for the parametric design was built using Dynamo, Revit's plug-in software. The Dynamo algorithm was designed with the inputs of the size and installation angle of the solar panel module to be applied to the shading structure. A parametric design was conducted by inputting the optimal tilt angle information from January to December for 57 solar panel modules with a width of 0.5 m and a length of 0.7 m. After the physical form of the shading structure was determined using the Dynamo algorithm, an energy simulation was performed using the Revit plug-in software, the Insight program. The Insight program produces solar-based renewable energy upon inputting the location information of the shading structure and the period for energy simulation.