Performance enhancement and control of photovoltaic systems /

Performance Enhancement and Control of Photovoltaic Systems brings together the latest advances in photovoltaic control and integration, with various embedded technologies applied to stand alone and grid connected systems, in normal and abnormal operating conditions, with new approaches intended to...

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Bibliographic Details
Other Authors:	Matohhir, Saad, Assad, Mamdouh El Haj
Format:	Electronic eBook
Language:	English
Published:	Amsterdam : Elsevier, 2024.
Subjects:	Photovoltaic power systems. Systèmes photovoltaïques. Photovoltaic power systems
Online Access:	ScienceDirect
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Table of Contents:

Front Cover
Performance Enhancement and Control of Photovoltaic Systems
Copyright Page
Dedication
Contents
List of contributors
Preface
1 Current challenges in nanomaterials for photovoltaics: 2D graphene layers and double perovskites
1.1 Introduction
1.2 Method and calculation
1.3 Result and discussion
1.3.1 Electronic properties of double perovskite system
1.3.2 Electronic properties of graphene layers
1.3.3 Optical properties of double perovskites
1.3.4 Optical properties of 2D graphene
1.4 Conclusion
References
2 A thorough review of PV performance, influencing factors, and mitigation strategies
advancements in solar PV systems
2.1 Introduction
2.2 PV power plant characteristic parameters
2.3 Comparative performance studies of different PV plants
2.4 Different factors affecting PV power system performance
2.4.1 PV technology
2.4.2 Solar irradiance
2.4.3 Ambient and cell temperature
2.4.4 Tilt angle orientation
2.4.5 Dust accumulation
2.4.6 Shading
2.5 Different techniques to mitigate performance degradation
2.5.1 Cleaning method
2.5.1.1 Natural cleaning methods
2.5.1.2 Manual cleaning method
2.5.1.3 Mechanical cleaning method
2.5.1.4 Electrodynamic display cleaning method
2.5.1.5 Superhydrophobic cleaning method
2.5.1.6 Superhydrophilic cleaning method
2.5.1.7 Drone-based cleaning method
2.5.1.8 Ultrasonic self-cleaning method
2.5.1.9 Robot cleaning method
2.5.2 Cooling methods for PV systems
2.5.2.1 Air cooling
2.5.2.2 Liquid-based cooling
2.5.2.3 Heat pipe-based cooling
2.5.2.4 Heat sink-based cooling
2.5.2.5 Phase-change material-based cooling
2.5.2.6 Nanofluid-based cooling
2.5.2.7 Hybrid cooling
2.6 Recommendations and future challenges
2.6.1 Performance analysis
2.6.2 Influencing factors.
2.6.2.1 Solar irradiance
2.6.2.2 Temperature
2.6.2.3 Shading
2.6.2.4 Soiling
2.6.3 Mitigation techniques
2.6.4 Future challenges
2.7 Conclusions
References
3 Technologies review for solar thermal integrated photovoltaic desalination
3.1 Introduction
3.2 Direct desalination methods integrated with a photovoltaic thermal collector
3.2.1 Combined photovoltaic thermal collector and solar still
3.2.2 Combined desalination, humidification, and dehumidification photovoltaic thermal collector
3.2.3 Observations and prospects of PVT-coupled solar still and HDH desalination exploration in the future
3.3 Combined nonmembrane indirect desalination technology and photovoltaic thermal collector
3.3.1 Multieffect distillation powered by photovoltaic thermal energy
3.3.2 Process for multistage flash desalination using thermal photovoltaic energy
3.4 Methods for membrane desalination powered by photovoltaic thermal energy
3.4.1 Reverse osmosis desalination powered by photovoltaic and thermal energy
3.4.2 Photovoltaic/thermal-powered membrane distillation
3.5 The photovoltaic thermal system's suitability and prospective chances for use with other desalination techniques
3.5.1 Electrodialysis thermal photovoltaic collector
3.5.2 Photovoltaic thermal collector for forward osmosis
3.5.3 Photovoltaic thermal collector for vapor compression desalination
3.5.4 Photovoltaic/thermal collector for adsorption desalination
3.6 Economics and other aspects of PVT desalination system
3.7 Conclusion
References
4 Thermodynamic analysis of solar photovoltaic energy conversion systems
4.1 Introduction
4.1.1 Solar photovoltaic energy conversion
4.1.2 Laws of thermodynamics
4.1.2.1 First law of thermodynamics (FLT)
4.1.2.2 Second law of thermodynamics (SLT).
4.1.2.2.1 Kelvin-Plank statement
4.1.2.2.2 Clausius statement
4.2 Energy and exergy analysis of solar photovoltaic energy conversion systems
4.2.1 Energy analysis
4.2.2 Exergy analysis
4.3 Concluding remarks
References
5 Performance assessment of three photovoltaic systems
5.1 Introduction
5.2 Materials and methods
5.2.1 Description of PV grid-connected plants
5.2.2 Performance metrics
5.2.2.1 Reference yield
5.2.2.2 Final yield
5.2.2.3 Performance ratio
5.2.2.4 Conversion efficiency of PV modules
5.2.2.5 Capacity factor of the solar PV system
5.2.3 Classical seasonal decomposition (CSD)
5.3 Results and discussions
5.3.1 Performance analysis
5.3.2 Annual degradation rate assessment using classical seasonal decomposition method
5.4 Conclusion
References
6 Electrical models of photovoltaic modules
Nomenclature
6.1 Introduction
6.1.1 Solar cell operation
6.1.2 Datasheet of a solar module
6.2 Classification of electrical models of PV cell/module
6.3 Static models of PV module
6.3.1 Ideal 1-D PV model
6.3.2 1-D model with series resistance (series model)
6.3.3 1-D model with shunt resistance (shunt model)
6.3.4 Practical 1-D model
6.3.5 Ideal 2-D model
6.3.6 Practical 2-D model
6.3.7 Practical 3-D model
6.3.8 Summary of PV static models
6.4 Dynamic models of a PV module
6.4.1 Simplified 1-D model
6.4.2 Detailed 1-D model
6.4.3 Simplified 2-D Dynamic model of a PV module
6.5 Discussion and conclusion
References
7 A comparative study of metaheuristic optimization algorithms to estimate PV cell equivalent circuit parameters
7.1 Introduction
7.2 Methodology
7.2.1 Problem formulation for the single-diode model
7.2.2 Objective function
7.3 Estimation of SPV cell circuit parameters
7.3.1 Analytical methods.
7.3.2 Numerical methods
7.3.3 Hybrid methods
7.3.4 The selected metaheuristic optimization algorithms
7.3.4.1 Ant Lion Optimizer (ALO)
7.3.4.2 Moth Flame Optimization (MFO)
7.3.4.3 Whale Optimization Algorithm (WOA)
7.3.4.4 Dragonfly Algorithm (DA)
7.3.4.5 Hybrid Particle Swarm Optimization and Gray Wolf Optimizer (PSOGWO)
7.3.4.5.1 Particle Swarm Optimization (PSO)
7.3.4.5.2 Gray Wolf Optimizer (GWO)
7.3.4.5.3 Hybrid Particle Swarm Optimization and Gray Wolf Optimizer algorithm (HPSOGWO)
7.3.4.6 Harris Hawks Optimization (HHO)
7.3.4.7 Marine Predators Algorithm (MPA)
7.3.4.8 African Vultures Optimization Algorithm (AVOA)
7.3.4.9 COOT algorithm
7.3.4.10 Ali Baba and the Forty Thieves algorithm (AFT)
7.4 Simulation results and discussion
7.4.1 Results of SDM for RTC France solar cell
7.4.2 Results of SDM for Photowatt PWP-201 solar cell
7.4.3 Results of SDM for HTS-144M6H480 solar cell
7.5 Conclusion
References
8 Modeling and comparative study of half-cut cell and standard cell photovoltaic modules under partial shading conditions
8.1 Introduction
8.1.1 Solar irradiance
8.1.2 Partial shading
8.1.3 Bypass diode
8.1.4 Half-cut cell
8.1.5 Review of partial shading research
8.2 Methodology
8.2.1 Modeling of standard photovoltaic module
8.2.2 Modeling of a half-cut cell photovoltaic module
8.3 Results and discussion
8.4 Conclusion
References
9 Experimental investigation of the interaction between PV soiling loss and atmospheric and climatic conditions: a case stu...
9.1 Introduction
9.2 Experimental setup and dataset
9.2.1 Weather parameters
9.2.2 PV soiling measurements
9.3 Results and discussion
9.3.1 The interaction between PV soiling and weather conditions
9.3.2 Multiple linear regression model
9.4 Conclusion.
Acknowledgments
References
10 Wide-spectrum solar radiation utilization techniques and applications
10.1 Splitting system
10.2 Beam-splitting techniques
10.3 Prisms
10.4 Holographic concentrators
10.5 Dichroic beam splitters
10.6 Nanofluid splitting system
10.7 Beam-splitting analysis
10.8 PV analysis via a beam splitter
10.8.1 Thermal PV model
10.8.2 Electrical model
References
11 Climate-specific bidding for solar photovoltaic-based power projects, considering the varied operation maintenance costs...
11.1 Introduction
11.2 Solar irradiation in India and different climatic zones
11.3 Defects in solar panels and cleaning mechanism
11.4 Results and discussion
11.5 The following scenarios are considered for LCOE, IRR, and payback
11.6 Conclusion
References
12 The emergence of digital metasurfaces: a new technology for enhancing photovoltaic systems
12.1 Introduction
12.2 State of the art
12.3 Overview of solar photovoltaic systems
12.3.1 Solar energy
12.3.2 Solar spectrum
12.3.2.1 Mass air spectrum AM0
12.3.2.2 Mass air spectrum AM1.5
12.3.3 Solar energy technologies
12.3.4 Photovoltaic energy
12.3.5 Digital technologies for rural and remote installations
12.4 Coded metasurfaces
12.5 Proposed metasurface absorber
12.5.1 Metasurface unit cell
12.5.2 Dimensions of the proposed MSA unit cell
12.5.3 MSA for optimized array
12.6 Simulation results and discussion
12.6.1 Individual unit cells
12.6.2 Metasurface response
12.6.3 Optimized MSA
12.7 Conclusion and future work
Acknowledgment
References
13 Challenge of modern photovoltaic systems under large-scale forms to distribution grid in preinstallation and operation: ...
13.1 Introduction
13.2 Analytical problems and system model under study.

Performance enhancement and control of photovoltaic systems /

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