http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Degradation, mitigation and forecasting approaches in thin film photovoltaics
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.
Front Cover -- Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics -- Copyright -- Contents -- List of figures -- List of tables -- Biography -- Preface -- Acknowledgements -- Acronyms -- 1 Introduction to photovoltaics -- 1.1 Introduction -- 1.2 Scenario of global energy requirements -- 1.3 Global warming and renewable energy -- 1.4 Brief overview of PV manufacturing -- 1.5 Characteristics of PV cell -- 1.5.1 Quantum efficiency versus wavelength characteristics -- 1.5.2 Current versus voltage characteristics -- 1.6 Current status of PV technology -- 1.7 Does PV pay back? -- Bibliography -- 2 Thin-film photovoltaics -- 2.1 Introduction -- 2.2 Photovoltaic effect -- 2.3 Some popular TFPV absorber materials -- 2.3.1 Amorphous silicon (a-Si) -- 2.3.2 Cadmium telluride (CdTe) -- 2.3.3 Copper indium gallium selenide (CIGS) -- 2.3.4 Copper zinc tin sulphide (CZTS) -- 2.3.5 Organic semiconductors -- 2.3.6 Organic-inorganic hybrid perovskite semiconductors -- 2.4 Conventional and emerging PV materials -- 2.5 Photovoltaic energy conversion -- 2.6 Thin-film photovoltaic manufacturing and recycling -- Bibliography -- 3 Performance-limiting issues in TFPVs -- 3.1 Introduction -- 3.2 Crystal defects -- 3.2.1 Point defects -- 3.2.2 Line defects -- 3.2.3 Planar defects -- 3.2.4 Volume defects -- 3.3 Carrier generation and recombination -- 3.4 Mobility degradation by scattering and grain boundary -- 3.5 Environmental and other factors -- 3.5.1 Effect of dust accumulation -- 3.5.2 Effect of humidity -- 3.5.3 Effect of wind -- 3.5.4 Effect of temperature -- 3.5.5 Effect of module orientation -- 3.5.6 Effect of shading -- 3.6 Leakage current and potential induced degradation -- Bibliography -- 4 Yield increase through soiling prevention -- 4.1 Introduction -- 4.2 Measuring output of PV cells, modules -- and systems.
4.3 Methods of cleaning solutions -- 4.3.1 Forced flow from air-conditioning systems -- 4.3.2 Rainfall, water-based and manual cleaning -- 4.3.3 Mechanized cleaning and electrodynamic screens (EDS) -- 4.3.4 Super hydrophobic and hydrophilic planes (SHOP and SHIP) -- 4.4 Mechanisms behind degradation and techniques to detect degradation -- Bibliography -- 5 Water-free automated solar-panel cleaning -- 5.1 Semiautomatic water-based cleaning solutions -- 5.2 Automated panel cleaning unit -- 5.3 Specifications of service unit -- 5.4 Process command flow of operations in a MicroController -- 5.5 Quantitative measurement of the effect of cleaning -- Bibliography -- 6 Numerical simulations of potential-induced degradation -- 6.1 Basics of potential-induced degradation -- 6.2 Simulation methodology -- 6.3 Simulation-based analysis of PID effects in TFPV cells -- 6.3.1 Effect of PID in nongraded CIGS cells -- 6.3.2 Effect of PID in graded CIGS cells -- 6.3.3 Effect of PID in CZTS, CZTSe and CZTSSe cells -- Bibliography -- 7 PID for multicrystalline soiled panels: a forecasting-based approach -- 7.1 Introduction -- 7.2 Experimental setup and methodology -- 7.3 Forecasting methods -- 7.3.1 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 forests -- 7.3.7 Gradient boosting method -- 7.4 Results and discussions -- 7.4.1 Correlation study of parameters -- 7.4.2 Forecasting results -- 7.5 Conclusions -- Bibliography -- 8 Optimization of on-site PID detection methods -- 8.1 Introduction -- 8.2 Adopted methodology -- 8.3 Existing PID detection techniques -- 8.3.1 Electroluminescence (EL) imaging -- 8.3.2 Thermal imaging -- 8.3.3 Open-circuit voltage measurement.
8.3.4 Operating voltage measurement -- 8.3.5 Current voltage (IV) curve tracing -- 8.3.6 Dark current-voltage (IV) curve tracing -- 8.4 Application of multiple-criteria decision-making (MCDM) techniques -- 8.4.1 Simple additive weighting (SAW) -- 8.4.2 Technique for order of preference by similarity to ideal solution (TOPSIS) -- 8.4.3 Elimination Et Choix Traduisant la Realité (ELECTRE) -- 8.5 Results and discussions -- Bibliography -- 9 Next generation photovoltaics -- 9.1 Recently developed photovoltaics -- 9.1.1 Kesterite photovoltaics -- 9.1.2 Dye-sensitized photovoltaics -- 9.1.3 Organic photovoltaics -- 9.1.4 Quantum-dot photovoltaics -- 9.1.5 Perovskite photovoltaics -- 9.2 Commercialization challenges for next-generation PVs -- 9.3 Current research status and forecast for next-generation PVs -- Bibliography -- Index -- Back Cover.