研究目的
Investigating the uncertain analysis of fixed solar compound parabolic concentrator (CPC) collector system for use in combination with solar PV cells to maximize PV performance and analyze uncertainty using fuzzy set theory.
研究成果
The study demonstrates the application of fuzzy set theory in analyzing the uncertainty of solar CPC PV collector systems. It highlights the importance of considering uncertain parameters in the design and optimization of solar collectors to maximize performance and minimize cost. The results provide insights into the deviations in performance due to uncertain inputs, offering a framework for more robust design approaches.
研究不足
The study is limited to the analysis of solar CPC PV collector systems using fuzzy set theory, focusing on specific design parameters and objectives. The practical implementation and real-world variability of solar conditions may introduce additional uncertainties not fully captured by the model.
1:Experimental Design and Method Selection:
The study uses fuzzy set theory to analyze the uncertainty in the design and performance of solar CPC PV collector systems. Triangular membership functions are employed to model uncertain parameters.
2:Sample Selection and Data Sources:
The study focuses on solar CPC PV collector systems, with design parameters and variables for design and behavior constraints outlined.
3:List of Experimental Equipment and Materials:
Solar CPC PV collector systems with specific design parameters such as acceptance angle, width of flat receiver, and tilt angle are considered.
4:Experimental Procedures and Operational Workflow:
The methodology involves applying fuzzy set theory to predict variations in design parameters and performance, with a focus on maximizing solar energy collection and minimizing cost.
5:Data Analysis Methods:
The study uses fuzzy set analysis to evaluate deviations in performance from crisp values, considering various fuzzy confidence intervals.
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