## 3 LCOE Results and Discussion  
The proposed LCOE model is used to determine the feasibility of the analyzed five PV technologies, considering 15 PV systems, with an installed power of 3 kW, 5 kW and 7 kW. Their main technical parameters are presented in the previous section. Moreover, to complete the PV systems, Huawei hybrid three phase inverters are used. For the 3 kW PV system the inverter has a power of 4 kW, with a conversion efficiency of 98.3%, for the 5 kW systems an inverter of 6 kW is used and for the 7 kW PV systems the inverter's power is 8 kW, both with a conversion efficiency of 98.6%. For this case study, the location of the systems is Cluj-Napoca town, situated in the Northwest region of Romania, which is one of the largest cities in the country. The \(G_{t}\) is around 1300 kWh/year/m\({}^{2}\)[26], which is a medium value, according to Table 2, where \(G_{t}\) of the main Romanian cities is presented. These values were obtained by employing the PV*SOL Premium software, used in designing and evaluating PV systems. \begin{table}
\begin{tabular}{c c} \hline \hline
**City** & **Annual Sum of Global Irradiation [kWh/Year/m\({}^{2}\)]** \\ \hline Arad & 1278 \\ Baču & 1299 \\ Baia Mare & 1253 \\ Bistrita & 1295 \\ Botosani & 1266 \\ Brasov & 1384 \\ Bucuresti & 1410 \\ Buzau & 1362 \\ Calárasi & 1410 \\ Campulung Moldovenesc & 1241 \\ Caransebes & 1325 \\ Cluj-Napoca & 1300 \\ Constanta & 1443 \\ Craiova & 1408 \\ Drobeta-Turnu Severin & 1357 \\ Galasi & 1398 \\ Iasi & 1342 \\ Oraclea & 1264 \\ Ramnicu Valcea & 1391 \\ Satu Mare & 1253 \\ Sibiu & 1360 \\ Suceava & 1260 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The annual sum of global irradiation of the main Romanian cities [26]. The economic parameters values were obtained based on market analysis and include the value added tax (VAT) specific to Romania [27]. To identify the representative values for each PV module technology, the interquartile range (_IQR_) was employed. The _IQR_ excludes the outliners and points out the values between the first and third quartile, indicating the data' median [28]. Then the average (_Avg_) of _IQR_ is computed to represent the representative values of _CI_, _OM_ and _SPV_ for each PV system. The range values, _IQR_ and _Avg_ are presented in Table 3.  
It can be observed that the _CI_ costs depend on both PV module technology and installed power. The cost components of _CI_ are presented in Figure 3, where the average values of _CPV_, _Cinv_, _C_s for the 15 PV systems are presented. The capital invest costs can be reduced by accessing the incentives offered by the Romanian government to promote renewable energy systems installation. The current program named \"Green House 2024\" is addressed to residential consumers to install rooftop PV systems with a minimum 3 kW power and a 5 kWh energy storage system by financing up to 90% of the total eligible costs (approximately 6030 \(\up\)) [29]. The _SPV_ is 4018 \(\up\) for all studied PV systems, which represents two thirds of the government grant of 6027 \(\up\), one third being reserved for the costs of integrating the mandatory 5 kWh battery energy storage system, considering the capital expenditure of around 220 \(\up\)/kWh for lithium-ion batteries [30]. \begin{table}
\begin{tabular}{c c c} \hline
**City** & **Annual Sum of Global Irradiation [kWh/Year/m\({}^{2}\)]** \\ \hline Sulina & 1413 \\ Tirgu Mures & 1335 \\ Timisoara & 1326 \\ Tulcea & 1398 \\ \hline \end{tabular}
\end{table} 
Table 2: _Cont._