## 4 Conclusions  
In our research, we studied the positioning features of polycrystalline (p-Si), monocrystalline (m-Si), and amorphous silicon (a-Si) modules relative to the FP of a reference CPV module under real meteorological conditions using a dual tracking system. The measurement results indicated that the performance insensitivity thresholds of m-Si, p-Si, and a-Si modules depend on the direction of the changes. According to the relevant literature, solar tracking system devices are very popular and always perform at more than 98.5% of their full tracking efficiency even when the aim of the device \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Description** & **Equation** & \begin{tabular}{c} **Numerical Results for** \\ **Modeling** \\ \end{tabular} & **R-Square** \\ \hline South & \begin{tabular}{c} f(x) = p1 x x4 + p2 x x3 + p3 x \\ x2 + p4 x x + p5 \\ \end{tabular} & \begin{tabular}{c} p1 = 2.646 x 10 - 7 \\ p2 = 5.382 x 10 - 5 \\ p3 = \(-\)0.01624 \\ p4 = 0.06834 \\ p5 = 99.96 \\ \end{tabular} & 0.9999 \\ \hline North & \begin{tabular}{c} f(x) = p1 x x3 + p2 x x2 + p3 x \\ x + p4 \\ \end{tabular} & \begin{tabular}{c} p1 = 3.102 x 10 - 5 \\ p2 = \(-\)0.01546 \\ p3 = 0.06449 \\ p4 = 99.97 \\ \end{tabular} & 0.9998 \\ \hline East & & \begin{tabular}{c} p1 = \(-\)4.779 x 10 - 5 \\ p2 = 0.002246 \\ p3 = \(-\)0.04004 \\ p4 = 0.02006 \\ p5 = 100.1 \\ \end{tabular} & 0.9984 \\ \hline West & & \begin{tabular}{c} p1 = \(-\)3.919 x 10 - 5 \\ p2 = 0.002307 \\ p3 = \(-\)0.05705 \\ p4 = 0.1432 \\ p5 = 99.97 \\ \end{tabular} & 0.9994 \\ \hline South-east & \begin{tabular}{c} p1 = \(3.445\times 10^{-5}\) \\ p2 = \(-\)0.001102 \\ p3 = \(-\)0.02458 \\ p4 = 0.03649 \\ p5 = 100 \\ \end{tabular} & 0.9999 \\ \hline South-west & \begin{tabular}{c} p1 = \(-\)1.174 x 10 - 6 \\ p2 = 0.0002058 \\ p3 = \(-\)0.03832 \\ p4 = 0.01014 \\ p5 = 100.1 \\ \end{tabular} & 0.9996 \\ \hline North-east & \begin{tabular}{c} p1 = \(7.699\times 10^{-6}\) \\ p2 = \(-\)0.0002437 \\ p4 = \(-\)0.01247 \\ p5 = 100.1 \\ \end{tabular} & 0.9984 \\ \hline North-west & \
\begin{tabular}{c} p1 = \(7.456\times 10^{-5}\) \\ p2 = \(-\)0.003751 \\ p4 = \(-\)0.02249 \\ p4 = \(-\)0.373 \\ p5 = 100.4 \\ \end{tabular} & 0.9984 \\ \hline \hline Example of calculation &
\begin{tabular}{c} 88\% = p1 x 204 + p2 x 203 + p3 \\ \(\times\) 202 + p4 x 20 + p5 \\ \end{tabular} & 0.9984 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: The effect of directional changes on a-Si performance (x = change in orientation (°); f(x) = percentage value of the performance compared to the FP). is off by \(10^{\circ}\). Nevertheless, the deviations in performance showed a significant dependence on the azimuthal direction. The most indifferent orientation was the north-south, while the most sensitive settings were the north-west, south-west, south-east, and north-east orientations. According to the results, there is no variation as a function of the deviation relative to the focus point for any of the module technologies examined if the angle of variance is below \(3^{\circ}\). This also provides guidance for the tracking error values of solar tracking sensors. Although nowadays there are many easily and cheaply available solar tracking systems and sensors, their tracking error tolerance is at least \(1.5^{\circ}\). The \(3^{\circ}\) threshold of insensitivity indicates that it is not economically sensible to make solar tracking sensors more sensitive than that. This information may contribute to the achievement of economically optimal investments. With the help of the new evidence delivered by the study, it may become easier to plan solar tracking sensor equipment and to assess the total investment and operational costs and their return in the case of m-Si, p-Si, and a-Si PV systems. In the future, CPV modules will be examined. According to preliminary measurements, this technology is much more sensitive to changes in orientation, and from the point of view of future investments, it would be important to determine its insensitivity.