Reprint
PV System Design and Performance
Edited by
November 2019
360 pages
- ISBN978-3-03921-622-2 (Paperback)
- ISBN978-3-03921-623-9 (PDF)
This book is a reprint of the Special Issue PV System Design and Performance that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.
Format
- Paperback
License
© 2020 by the authors; CC BY license
Keywords
floating PV generation structure; fiber reinforced polymeric plastic (FRP); pultruded FRP; sheet molding compound FRP; structural design; mooring system; photovoltaic plants; software development; performance analysis; loss analysis; graphical malfunction detection; fuzzy logic controller; maximum power point tracking (MPPT); dc-dc converter; photovoltaic system; photovoltaic system; modeling; stability analysis; grid-connected; photovoltaics; modules; shade resilience; buck converter; module architecture; PV array; FCM algorithm; cluster analysis; fault diagnosis; membership algorithm; solar energy; photovoltaic module performance; organic soiling; Scanning Electron Microscopy (SEM); floating PV systems (FPV); floating PV module (FPVM); ANOVA; Bartlett’s test; Hartigan’s dip test; Jarque-Bera’s test; Kruskal-Wallis’ test; Mood’s Median test; residential buildings; Tukey’s test; urban context; solar cells; AC parameters; underdamped oscillation; impedance spectroscopy; partial shading; photo-generated current; photovoltaic performance; maximum power point; image processing; photovoltaic (PV) systems monitoring; malfunction detection; data analysis; PV systems; cluster analysis; failure detection; ageing and degradation of PV-modules; performance analysis; UV-fluorescence imaging; photovoltaic modeling; parameter estimation; optimization problem; metaheuristic; opposition-based learning; quasi-opposition based learning; improved cuckoo search algorithm; PV energy performance; PV thermal performance; thermal interaction; conventional roof membrane; vegetated/green roof; Renewable Energy; PV systems; forecast; energy; simulation; silicon; photovoltaics; modules; electroluminescence; defects; cracks; performance ratio; annual yield; GIS; PV system; spatial analyses; performance ratio; GIS; PV module; system; population density; urban compactness; solar farm; photovoltaics; reactive power support; STATCOM; technical costs; photovoltaic systems; reliability; real data; energy yield; fault tree analysis; failure mode and effect analysis; availability; failure rates