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Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics
- 1st Edition - September 7, 2021
- Authors: Dipankar Deb, Kshitij Bhargava
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 4 8 3 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 6 4 2 - 0
Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics covers detailed descriptions of cell to module level fundamentals of photovoltaics including thin-film… Read more
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Request a sales quoteDegradation, 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, along 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
Researchers and engineers in solar energy, photovoltaics and solar cell advancesGraduate and undergraduate students working in photovoltaics
Chapter 1: Introduction to Photovoltaics1.1 Scenario of global energy requirements1.2 Global warming and renewable energy1.3 Brief overview of PV manufacturing1.4 Characteristics of solar cellsReferencesChapter 2: Thin Film Photovoltaics (TFPVs)2.1 Introduction2.2 Significance of photovoltaics2.3 Generations of TFPVs2.4 Conventional and emerging PV materials2.5 Principle of photovoltaic conversion2.6 Role of junctionsReferencesChapter 3: Performance limiting issues in TFPVs3.1 Crystal defects3.2 Mobility degradation by scattering and grain boundaries3.3 Carrier recombination3.4 Leakage currents3.5 Dust accumulation, moisture and temperature effects3.6 Potential Induced Degradation (PID)ReferencesChapter 4: Yield Increase Through Soiling Prevention4.1 Introduction4.2 Methods of Cleaning Solutions4.2.1 Forced Flow from Air Conditioning Systems4.2.2 Rainfall, Water-based and Manual Cleaning4.2.3 Mechanized Cleaning and Electrodynamic Screens (EDS)4.2.4 Super Hydrophobic and Hydrophilic Planes (SHOP and SHIP)ReferencesChapter 5. Water-Free Automated Solar Panel Cleaning5.1 Automated Solar Cleaning Service Unit5.2 Technical Specifications of Service Unit5.3 Process Command Flow of Operations in Micro-Controller5.4 Quantitative Measurement of the Effect of CleaningReferencesChapter 6. Numerical Simulations of Potential Induced Degradation6.1 Basics of Potential Induced Degradation6.2 Simulation Methodology6.3 Effect of Variation in Defect Density6.3.1 Non-graded type CIGS solar cells6.3.2 Graded CIGS solar cells6.3.3 CZTS, CZTSe and CZTSSe solar cellsReferencesChapter 7. Potential Induced Degradation (PID) for Multicrystalline Soiled Solar Panels: A Forecasting based Approach7.1 Introduction7.2 Experimental Setup and Methodology7.3 Forecasting Methods7.3.1 Persistence Learning algorithm (PLA)7.3.2 Auto-Regressive Integrated Moving Average (ARIMA)7.3.3 Single Exponential Smoothing (SES)7.3.4 Artificial Neural Networks (ANN)7.3.5 Support Vector Regression (SVR)7.3.6 Random Forest7.3.7 Gradient Boosting Method7.4 Result and Discussion7.4.1 Correlation study of parameters7.4.2 Forecasting ResultsReferences
Chapter 8. Optimization of on-site Potential Induced Degradation Detection Methods (PID)8.1 Adopted Methodology8.2 Existing PID detection techniques8.2.1 Electroluminescence (EL) imaging8.2.2 Thermal Imaging8.2.3 Open circuit voltage measurement8.2.4 Operating voltage measurement8.2.5 Current voltage (IV) curve tracing8.2.6 Dark current voltage (IV) curve tracing8.3 Application of Multiple-criteria decision-making (MCDM) Techniques8.3.1 Simple additive weighting (SAW)8.3.2 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)8.4 Results and DiscussionReferencesChapter 9. Next generation PVs and critical issues9.1 Recently synthesized PV materials and their advantages9.2 Challenges towards commercialization of next generation PVs9.3 Current research status and market capture forecast of next generation PVsReferences
- No. of pages: 190
- Language: English
- Edition: 1
- Published: September 7, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128234839
- eBook ISBN: 9780128236420
DD
Dipankar Deb
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.
Affiliations and expertise
Professor in Electrical Engineering, Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad, IndiaKB
Kshitij Bhargava
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.
Affiliations and expertise
Assistant Professor of Electrical Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Gujarat, IndiaRead Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics on ScienceDirect