Weather-dependent parameter extraction for the electrical circuit models of solar cells
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Weather-dependent parameter extraction for the electrical circuit models of solar cells

Weather-dependent parameter extraction for the electrical circuit models of solar cells

Genk More than two weeks ago

Improve the climatic adaptivity of standard electrical models for solar cells

Performance modeling of photovoltaic (PV) systems isone of the most important stages in PV project development. Modeling frameworksare used to evaluate the expected energy generation and, hence, the economicand technical feasibility of PV projects.

Different aspects that affect PVpower generation are considered in the simulation and design frameworks of PVsystems. One of these aspects is related to the electrical modeling of solarcells.

The commonly used equivalent circuit models for solar cells require theextraction of parameters such as saturation current, series resistance, shuntresistance, and diode ideality factor that determine the predicted cellbehavior under varying operating conditions.

The extraction of these parametersplays a key role in the accuracy of the simulations and, hence, will influencethe PV system design and performance evaluation.

Various methods (e.g., analytical, iterative, and evolutionarycomputational) have been proposed to extract the parameters of solar cells.

However, most of the available methods have not been evaluated under varying operatingconditions. Therefore, the aim of this master’s thesis is twofold : first, tomake a comparison of the existing methods under varying operating conditions toformulate trade-offs for a new approach and second, to develop an innovativealgorithm (in Python or MATLAB)based on the initial findings about extracting the solar cell parameters under varyingoperating conditions.

During thisthesis project, the student will gain experience in computational methods and algorithmsto improve accuracy and deal with computational complexity.

Type of project : Thesis

Required degree : Master of Engineering Technology, Master of Engineering Science, Master of Science

Required background : Physics, Energy, Electrotechnics / Electrical Engineering, Computer Science

Supervising scientist(s) : For further information or for application, please contact : Ismail Kaaya ()

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