## 3 Results and Discussion
In the case of the Si tile, \(P_{max}\) was 0.78 W at 10:00 a.m. and decreased to 0.70 W at 3:00 p.m. (at 70.9 \({}^{\circ}\)C), followed by a moderate drop to 0.68 W at 5:00 p.m. A similar evolution of \(P_{max}\) was also observed for the yellow tile, namely 0.40 W at 10:00 a.m., 0.374 W at 3:00 p.m. (at 59.8 \({}^{\circ}\)C), and 0.35 W at 5:00 p.m. Although the \(P_{max}\) provided by the green tile is smaller, with a value of 0.27 W at 10:00 a.m., the DSSCs based on green dye showed that it works much better at maximum air temperatures, increasing and remaining constant at the value of 0.31 W until 3:00 p.m. Moreover, the loss values of \(P_{max}\) within the hours 10:00 a.m. and 5:00 p.m., namely \(-\)0.10 W for the Si tile, \(-\)0.05 W for  
Figure 4: Daily solar irradiation incident on the solar cell surface. Figure 3: J-V characteristics of the solar cells used as the tile units. the yellow tile, and \(-0.06\) W for the green tile, highlight that the tiles based on DSSCs can be efficient both at a lower light irradiance and in high temperature conditions. Quantifying the impact of the temperature variation, the temperature coefficient considered in performance studies of photovoltaic cells, namely the temperature coefficient for the maximum power (\(\gamma\)), will be used in the following analysis of the variation of \(P_{max}\) as a function of temperature. The thermal stability under the maximum air temperature conditions is directly reflected in the values of \(\gamma\), which were \(-0.003\%/^{\circ}\)C for the Si tile, \(-0.0017\%/^{\circ}\)C for the yellow tile, and \(-0.0004\%/^{\circ}\)C for the green tile. The thermal stability of the green and yellow tiles is clearly higher than that of the Si tile. Furthermore, Figure 7 displays the evolution of \(P_{max}\) (W) vs. \(\Delta_{Irradiance}\) (W/m\({}^{2}\)) and temperature (\({}^{\circ}\)C) vs. \(\Delta_{Irradiance}\) (W/m\({}^{2}\)) for all three tiles based on the yellow DSSCs, the green DSSCs, and the Si solar cells. Each hour is marked with numbers from 10 to 18, starting at 10:00 a.m. and ending at 6:00 p.m.  
For a deeper insight into the effect of air temperature on the photovoltaic performance of the tiles, the data corresponding to 3:30 p.m. was added, being characterized by a similar irradiance value (866 W/m\({}^{2}\)) to that at 11:00 a.m. (noted with 11). Under the same illuminance, the temperature transmitted through each tile represents the main factor that limits the effective functioning of the photovoltaic tiles especially for the yellow and Si tiles. Moreover, it can be seen that even if the air temperature variations are significant, \(P_{max}\) changes undergo moderate variations in the case of DSSCs compared to Si solar cells. In the case of the green tile, \(P_{max}\) was mainly influenced by the light intensity, increasing in a first stage (10\(\rightarrow\)11) and then remaining almost constant (11\(\rightarrow\)12\(\rightarrow\)13\(\rightarrow\)14\(\rightarrow\)15) even though the temperature continued to rise. Figure 5: The temperature evolution of the tiles as a function of the time of day. Figure 6: \(P_{max}\), \(V_{OC}\), and \(J_{SC}\) vs. the time of day for the tiles based on (**a**) yellow DSSCs, (**b**) green DSSCs, and (**c**) Si solar cells. So far, the research for the development of the wavelength-selective greenhouse has focused on the visible dye sensitization of DSSC tiles. The main drawback of the implementation of DSSC tiles based on visible absorption dye is the absorption of the same range radiation as the photosynthetic active radiation (PAR), which is essential for the growth and photosynthesis of plants. Our study proposed a compromise solution for a wavelength-selective greenhouse, maximizing the accessibility of PAR radiation into the greenhouse and preserving the photovoltaic efficiency of the solar cells.