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Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics

  • ID: 5230630
  • Book
  • June 2021
  • 310 Pages
  • Elsevier Science and Technology

Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics covers detailed descriptions of cell to module level fundamentals of photovoltaics including thin-film materials, performance, maintenance procedures and performance forecasting approaches.

Designed to help readers better understand the complexities of photovoltaics, covering the most important aspects of PV cell design, fabrication and performance limiting issues coupled with case studies dedicated towards the forecasting approaches for performance degradations occurring in PV panels. Through theoretical and experimental techniques and methods for performance prediction of the PV cells and modules, this reference concludes with an analysis of the emerging PV technologies for the future.

Particularly helpful to researchers because the chapters are aligned in a way that enables readers to start from the fundamentals of PVs and end up with a sound understanding of the current and upcoming PV challenges and ways to deal with them.

  • Describes Thin-Film Photovoltaics from material to cell level with performance limiting issues
  • Addresses issues pertaining to photovoltaic panel maintenance and cleaning procedures
  • Includes forecasting approaches of Potential Induced Degradation occurring in PVs through theoretical and experimental methods
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1. Introduction to Photovoltaics 2. Thin Film Photovoltaics (TFPVs) 3. Performance limiting issues in TFPVs 4. Yield Increase Through Soiling Prevention 5. Water-Free Automated Solar Panel Cleaning 6. Numerical Simulations of Potential Induced Degradation 7. Potential Induced Degradation (PID) for Multi-crystalline Soiled Solar Panels: A Forecasting based Approach 8. Optimization of on-site Potential Induced Degradation Detection Methods (PID) 9. Next generation PVs and critical issues

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Deb, Dipankar
Dipankar Deb completed his Ph.D. from University of Virginia, Charlottesville under the supervision of Prof.Gang Tao, IEEE Fellow and Professor in the department of ECE in 2007. In 2017, he was elected to be a IEEE Senior Member. He has served as a Lead Engineer at GE Global Research Bengaluru (2012-15) and as an Assistant Professor in EE, IIT Guwahati 2010-12. Presently, he is a Professor in Electrical Engineering at Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad. His research interests include Control theory, Stability analysis and Renewable energy systems.
Bhargava, Kshitij
Dr. Kshitij Bhargava
Kshitij Bhargava is Assistant Professor of Electrical Engineering at the Institute of Infrastructure, Technology, Research and Management (IITRAM). Their research interests lie in Fabrication and Simulation of Organic/Inorganic Semiconductor based Nanoelectronics Devices such as Thin Film Transistors, Solar Cells, Light-Emitting Devices and Photodetectors, VLSI Design.
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