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PV System Design and Performance

PV System Design and Performance

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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.

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Keywords

  • AC parameters
  • ageing and degradation of PV-modules
  • annual yield
  • ANOVA
  • availability
  • Bartlett’s test
  • buck converter
  • Cluster analysis
  • conventional roof membrane
  • cracks
  • data analysis
  • dc-dc converter
  • Defects
  • electroluminescence
  • energy
  • energy yield
  • failure detection
  • failure mode and effect analysis
  • failure rates
  • fault diagnosis
  • fault tree analysis
  • FCM algorithm
  • fiber reinforced polymeric plastic (FRP)
  • floating PV generation structure
  • floating PV module (FPVM)
  • floating PV systems (FPV)
  • forecast
  • fuzzy logic controller
  • GIS
  • graphical malfunction detection
  • grid-connected
  • Hartigan’s dip test
  • Image processing
  • impedance spectroscopy
  • improved cuckoo search algorithm
  • Jarque-Bera’s test
  • Kruskal-Wallis’ test
  • loss analysis
  • malfunction detection
  • maximum power point
  • maximum power point tracking (MPPT)
  • membership algorithm
  • metaheuristic
  • modeling
  • module architecture
  • Modules
  • Mood’s Median test
  • mooring system
  • opposition-based learning
  • optimization problem
  • organic soiling
  • Parameter estimation
  • partial shading
  • performance analysis
  • performance ratio
  • photo-generated current
  • photovoltaic (PV) systems monitoring
  • photovoltaic modeling
  • photovoltaic module performance
  • photovoltaic performance
  • photovoltaic plants
  • photovoltaic system
  • photovoltaic systems
  • photovoltaics
  • Population density
  • pultruded FRP
  • PV array
  • PV energy performance
  • PV module
  • PV system
  • PV systems
  • PV thermal performance
  • quasi-opposition based learning
  • reactive power support
  • real data
  • Reliability
  • renewable energy
  • residential buildings
  • Scanning Electron Microscopy (SEM)
  • shade resilience
  • sheet molding compound FRP
  • Silicon
  • simulation
  • Software Development
  • solar cells
  • solar energy
  • solar farm
  • Spatial analyses
  • stability analysis
  • STATCOM
  • structural design
  • System
  • technical costs
  • thermal interaction
  • Tukey’s test
  • underdamped oscillation
  • urban compactness
  • urban context
  • UV-fluorescence imaging
  • vegetated/green roof

Links

DOI: 10.3390/books978-3-03921-623-9

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