###### Abstract
In [10] LCOE is used to evaluate five solar photovoltaic power plants located in India, with an installed power of 1 MW, 5 MW, 10 MW, 25 MW and 151 MW, considering different parameters and their effect on LCOE like interest and inflation rates, lifetime and cumulative utilization factor. The results show that the early installed plants have a higher LCOE than the later ones, because of the decreasing cost of PV systems, which quantifies around 50% of the capital investment. Another factor that affects the LCOE is the size of the plant; the higher the capacity is, the lower the LCOE is. The obtained values for LCOE are 11.33 Rs, 6.14 Rs, 7.08 Rs, 5.76 Rs and 5.96 Rs (approximately 0.12, 0.063, 0.073, 0.059, 0.061 \(\xi\)/kWh) for 1 MW, 5 MW, 10 MW, 25 MW and 151 MW plants. Moreover, the LCOE increases when the inflation rate and interest rate are varied and decreases when the cumulative utilization rate increases. Same method, but with a different approach, is addressed in [11] to evaluate with a more accurate approach the economic feasibility of 648 PV power generation projects from 30 provincial-level administrative regions in China, considering the economic performance as well as the environmental impact. The System LCOE (S-LCOE) approach integrates the balancing and grid costs into conventional LCOE framework and compares the obtained values with local desulfurized coal electricity price do determine the economic competitiveness of each region. The value of S-LCOE varies between 0.557-1.267 CNY/kWh (0.067-0.15 \(\xi\)/kWh), which is much higher than local desulfurized coal electricity price with values between 0.228-0.453 CNY/kWh (0.028-0.055 \(\xi\)/kWh), so China should put more efforts to become global cost competitive in solar technology. A review of solar photovoltaic LCOE is presented in [12], where various systems located in North America are assessed assuming the choice of discount rate, average system cost, financing method, average system lifetime and degradation rate of PV system during lifetime. The results show that the values of LCOE for residential PV systems are estimated at 0.15-0.86 $/kWh (0.13-0.76 \(\xi\)/kWh), for commercial PV systems are between 0.1 and 0.5 $/kWh (0.088-0.44 \(\xi\)/kWh) and for utility scale PV systems are ranging from 0.062 to 0.456 $/kWh (0.055-0.04 \(\xi\)/kWh).  
In addition to LCOE, net present value (NPV) and internal rate of return (IRR) are used in [13] to evaluate solar power plants located in South Australia and Southern California (United States). The results indicate that concentrated solar power plants have a higher LCOE, with values varying between 0.108-0.177 $/kWh (0.095-0.1 \(\xi\)/kWh) in South Australia and 0.138-0.192 $/kWh (0.12-0.17 \(\xi\)/kWh) in Southern California, while PV plants have a LCOE between 0.059-0.145 $/kWh (0.052-0.13 \(\xi\)/kWh) in South Australia and 0.055-0.089 \(\xi\)/kWh (0.049-0.079 \(\xi\)/kWh) in Southern California. Moreover, the solar plants specifically designed to optimize the profits lead to important differences compared to the standard LCOE approach. This paper studies five PV module technologies, high-efficiency silicon heterojunction cells (HJT), N-type monocrystalline silicon cells (N-type), P-type passivated emitter and rear contact cells (PERC), N-type tunnel oxide passivated contact cells (TOPCon) and bifacial TOPCon, and assesses the feasibility by calculating the LCOE for 15 PV systems, located in the Northwestern Romania, with installed power of 3 kW, 5 kW and 7 kW for each technology, to determine if the capacity of the system influences the LCOE values. This study has a different approach than others. All the technical and economic parameters were obtained by conducting a market analysis and proposes a LCOE model, which includes the standard parameters (investment costs, operational and maintenance costs) and adds the residual value of the PV system at the end of lifetime.