研究目的
The aim of this study targets the performance analysis and the economic evaluation of two photovoltaic systems connected to the grid of 4.08 KWp, located in the same place in the roof of the research building at the Faculty of Sciences and Technologies Mohammedia, Morocco.
研究成果
The pc-Si technology showed slightly higher performance compared to mc-Si in terms of final yield, performance ratio, capacity factor, and system efficiency. The economic analysis indicated a payback time of approximately 12 years for pc-Si and 12.63 years for mc-Si, with LCOE values of 0.075€/kWh and 0.077€/kWh, respectively, at a discount rate of 2.5%. The pc-Si technology is recommended for future research projects in Morocco.
研究不足
The study is limited to one year of data (2015) and specific weather conditions in Mohammedia, Morocco. The comparison is between only two types of PV technologies (mc-Si and pc-Si).
1：Experimental Design and Method Selection:
The study involves the performance analysis and economic evaluation of two photovoltaic systems (mc-Si and pc-Si) connected to the grid. The methodology includes recording experimental data over one year and analyzing parameters such as total energy generated, final yield, reference yield, performance ratio, capacity factor, and monthly system efficiency.
2：Sample Selection and Data Sources:
The PV systems are located in Mohammedia, Morocco, with data recorded over one year (2015).
3：5). List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The systems consist of two types of PV panels (mc-Si and pc-Si) and an inverter model SB2000HF
4：Experimental Procedures and Operational Workflow:
The PV modules are positioned facing south at an inclined angle of 30°. Data on energy output from the inverters are recorded every five minutes.
5：0°. Data on energy output from the inverters are recorded every five minutes. Data Analysis Methods:
5. Data Analysis Methods: The analysis includes calculating final yield, reference yield, performance ratio, system efficiency, capacity factor, and economic parameters like NPV and LCOE.
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