研究目的
Investigating the coupled electrical-thermal performance of photovoltaic modules under dynamic conditions.
研究成果
The developed coupled electrical-thermal model is accurate and reliable for evaluating PV module performance under various conditions. The model's validation shows high agreement with experimental data, and its application demonstrates the significant role of radiative and convective thermal resistances in PV performance. The study also highlights the importance of carefully selecting environmental conditions and cooling methods during PV system design.
研究不足
The study acknowledges the complexity of coupling heat and electricity in PV modules and the challenges in accurately modeling under variable weather conditions. The thermal model's accuracy under rapidly changing solar radiation and the need for proper heat transfer coefficient or cooling area selection are noted as areas for optimization.
1:Experimental Design and Method Selection:
The study employs a coupled electrical-thermal model for PV modules under unsteady state and various conditions. The electrical model is based on the 5-parameter model, and the thermal model is based on thermal resistance theory.
2:Sample Selection and Data Sources:
The study uses a poly-crystalline silicon PV module (model: STP200-18/Ub-1) and validates the models with experimental data from references.
3:List of Experimental Equipment and Materials:
The PV module consists of five layers: glass, upper EVA, PV cells, lower EVA, and tedlar. Physical properties of each layer are listed, including specific heat, thickness, density, thermal conductivity, emissivity, absorptivity, and transitivity.
4:Experimental Procedures and Operational Workflow:
The study involves validating the electrical and thermal models, investigating the distribution of thermal resistance, and assessing the effects of environmental conditions and cooling methods.
5:Data Analysis Methods:
The study uses the coefficient of determination (R2), mean bias error (MBE), and root mean square error (RMSE) for performance evaluation.
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