研究目的
To validate and predict the dynamic behaviour of PVT systems while accurately describing the factor responsible for the loss of efficiency at any point in time under various weather constraints.
研究成果
The research demonstrates that flow rates, heat removal factor, tilt angles, latitude and longitude, and the fluid used to remove heat significantly affect the PV/T system's performance more than other factors like NOCT, packing density, and stagnation temperature. The model provides a basis for standardizing testing protocols for PV/T systems and offers insights into optimizing existing systems for improved efficiency.
研究不足
The study focuses on a specific commercial PV/T system (Solar Angel PVT system) and its performance under simulated conditions, which may not fully capture all real-world operational scenarios. The model's accuracy is dependent on the quality of the input data and assumptions made during the simulation.
1:Experimental Design and Method Selection:
The PV/T system was modelled in MATLAB and solved using the implicit RK-4 method to analyze its dynamic behavior under various weather constraints.
2:Sample Selection and Data Sources:
A commercial PV/T system (Solar Angel PVT system) was considered for simulation over an entire year.
3:List of Experimental Equipment and Materials:
The system includes PV panels, aluminum absorber plates, EVA layers, aluminum tubing, and polyurethane foam insulation.
4:Experimental Procedures and Operational Workflow:
The system's performance was analyzed by varying parameters such as mass flow rate, solar radiation, wind velocity, ambient temperature, and tilt angles.
5:Data Analysis Methods:
The energy balance at each node was calculated using the ray trace method and solved iteratively to find temperature at each node, with a separate PV analysis to reveal the electric output during the simulation.
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