scholarly journals Simple vs complex models for solar cells

2019 ◽  
Vol 85 ◽  
pp. 04004
Author(s):  
Andreea Săbăduş ◽  
Marius Paulescu

In this paper three different procedures for extracting the current-voltage characteristics of a crystalline photovoltaic module are studied. Each procedure is associated to a solar cell model characterized by a well-defined degree of complexity. The results emphasize that the simple models approximate the current-voltage characteristics of a solar cell as good as the more complex models. Even if all the procedures analysed in this paper approximate well the measured characteristics, the specific model parameters experience a large dispersion. From a broader perspective, the results raise a question mark on the ability of the current procedures to accurately extract the solar cell parameters.

2013 ◽  
Vol 827 ◽  
pp. 186-190
Author(s):  
Helal Al-Hamadi

This paper proposes a mathematical programming based approach for optimal estimation of photovoltaic cell model parameters. In this study, solar cell models are used to represent the current-voltage characteristics of the solar cell. The model is represented as a non-linear function that relates the cell current and voltage with some parameters to be estimated. No direct general analytical solution exists for such function. Given the input-output characteristic data of the solar cell, a mathematical programming technique is used to solve a set of transcendental equations to optimally estimate the solar cell parameters.


2019 ◽  
Vol 87 (3) ◽  
pp. 30101 ◽  
Author(s):  
Abdel-baset H. Mekky

Semiconductor materials cadmium sulfide (CdS) and cadmium telluride (CdTe) are employed in the fabrication of thin film solar cells of relatively excessive power conversion efficiency and low producing price. Simulations of thin film CdS/CdTe solar cell were carried out using SCAPS-1D. The influence of temperature field on the variation of CdTe solar cell parameters such as current–voltage, capacitance–voltage characteristics and the external quantum efficiency was investigated theoretically. For use temperatures, one obtains the external quantum efficiency has the same profiles. However, the effect of the temperature on the Mott-Schottky curves is slightly noted by variations on the characteristics. This conclusion can be used by solar cell manufacturers to improve the solar cell parameters with the biggest possible gain in device performance.


1991 ◽  
Vol 34 (6) ◽  
pp. 553-558
Author(s):  
F. Caldararu ◽  
M. Caldararu ◽  
S. Nan ◽  
D. Nicolaescu ◽  
S. Vasile

2005 ◽  
Vol 87 (1-4) ◽  
pp. 225-233 ◽  
Author(s):  
M. Haouari-Merbah ◽  
M. Belhamel ◽  
I. Tobías ◽  
J.M. Ruiz

2013 ◽  
Vol 373-375 ◽  
pp. 1261-1264
Author(s):  
Mei Ying Ye

A new hybrid intelligent technique is proposed to evaluate photovoltaic cell model parameters in this paper. The intelligent technique is based on a hybrid of genetic algorithm (GA) and LevenbergMarquardt algorithm (LMA). In the proposed hybrid intelligent technique, the GA firstly searches the entire problem space to get a set of roughly estimated solutions, i.e. near-optimal solutions. Then the LMA performs a local optima search in order to carry out further optimizations. An example has been used to demonstrate the evaluation procedure in order to test the performance of the proposed approach. The results show that the proposed technique has better performance than the GA approach in terms of the objective function value, the computation time and the reconstructedI-Vcurve shape.


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