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Design and Implementation of MATLAB-Simulink Based Solar Cell Modeling and PV System Design Exercises for Advanced Student Learning

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Energy Conversion and Conservation Division Best Papers

Tagged Division

Energy Conversion and Conservation

Page Count

11

Permanent URL

https://peer.asee.org/30263

Download Count

76

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Paper Authors

biography

Sandip Das Kennesaw State University Orcid 16x16 orcid.org/0000-0002-7336-9568

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Sandip Das is an Assistant Professor in the Department of Electrical Engineering at Kennesaw State University. Dr. Das received his Ph.D. and M.E. in Electrical Engineering from University of South Carolina, Columbia and earned his B.E. in Electrical Engineering from Indian Institute of Engineering Science and Technology (IIEST, Shibpur, India). He is an expert in the field of solar photovoltaics and developed undergraduate and graduate-level courses in solar power and advanced photovoltaics at Kennesaw State University. His current research interests include third generation solar cells for building-integrated photovoltaics, semiconductor thin-films and nanocrystals for optoelectronic devices, mixed-signal electronics for instrumentation and development of technology enhanced teaching tools and pedagogical framework for improved engineering education. He has published more than 20 technical research articles in international journals and conferences. His innovative teaching and research programs have been supported by the Center for Excellence in Teaching and Learning (CETL) at Kennesaw State University and the U.S. Environmental Protection Agency (EPA).

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Abstract

The solar photovoltaics (PV) industry has created the fastest growing job market in the US demanding highly skilled engineers. Modeling and simulation of solar cells and design of solar photovoltaic systems are highly marketable skills desired by the industry. Simulation tools provide a robust platform to build models and help students to analyze the behavior and performance of the devices and systems. This paper discusses on the MATLAB-Simulink based simulation exercises integrated within a renewable energy course in undergraduate Electrical Engineering curriculum. The simulation exercises include building single diode equivalent circuit model of a solar cell and analysis of the simulated current-voltage (I-V) and power-voltage (P-V) curves using MATLAB scripts and Simulink graphical simulation environment. Students then study the effect of solar irradiance, temperature, series and shunt resistances on the resulting photovoltaic parameters, such as open-circuit voltage, short-circuit current, fill factor, and efficiency of the cell. By interconnecting multiple cells in series, students designed PV modules. Finally, students studied the effect of partial shading in series connected modules and learned the utility of bypass diodes. Successful integration of the simulation exercises could substantially help to optimize the student learning outcome. The impact of the simulation exercises and learning outcome were measured by pre- and post-exercise tests and student perceptions via student feedback.

Das, S. (2018, June), Design and Implementation of MATLAB-Simulink Based Solar Cell Modeling and PV System Design Exercises for Advanced Student Learning Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30263

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