研究目的
To develop a virtual learning platform for the design of solar photovoltaic systems, integrating mathematical models of solar radiation, photovoltaic panels, regulators, batteries, and inverters to facilitate learning in the design parameters of solar photovoltaic systems.
研究成果
The virtual learning platform developed facilitates the learning of design parameters for solar photovoltaic systems, contributing to the future knowledge society interested in renewable energy solutions. It represents an efficient solution to current energy consumption problems and promotes the development of new technologies in the area.
研究不足
The Mainel and Meinel model used for solar irradiance estimation is effective under clear sky conditions but may not account for atmospheric pollution effects in cities like Bogotá. The platform is focused on teaching and may not cover all real-world complexities.
1：Experimental Design and Method Selection:
The methodology involved four general stages: solar irradiance estimation model, development of a circuit model for photovoltaic panels, development of a model for sizing an isolated photovoltaic system, and development of the learning platform.
2：Sample Selection and Data Sources:
Geographical parameters of Bogotá were used for testing the solar irradiance estimation model.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The platform was developed as a GUI user interface in MATLAB, integrating models for solar irradiance estimation, photovoltaic panel modeling, and sizing of isolated photovoltaic systems.
5：Data Analysis Methods:
Newton Raphson method was used to solve expressions for voltage and current values in photovoltaic panels.
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