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Energy harvesting is the conversion of unused or wasted energy in the ambient environment into useful electrical energy. It can be used to power small electronic systems such as wireless sensors and is beginning to enable the widespread and maintenance-free deployment of Internet of Things (IoT) technology. This Special Issue is a collection of the latest developments in both fundamental research and system-level integration. This Special Issue features two review papers, covering two of the hottest research topics in the area of energy harvesting: 3D-printed energy harvesting and triboelectric nanogenerators (TENGs). These papers provide a comprehensive survey of their respective research area, highlight the advantages of the technologies and point out challenges in future development. They are must-read papers for those who are active in these areas. This Special Issue also includes ten research papers covering a wide range of energy-harvesting techniques, including electromagnetic and piezoelectric wideband vibration, wind, current-carrying conductors, thermoelectric and solar energy harvesting, etc. Not only are the foundations of these novel energy-harvesting techniques investigated, but the numerical models, power-conditioning circuitry and real-world applications of these novel energy harvesting techniques are also presented.

piezoelectric harvester --- orthoplanar spring --- trapezoidal leg --- vibration energy --- acoustic resonance --- closed side branch --- DDES --- wind energy harvester --- Autonomous Internet of Things --- vibration energy harvesting --- electromagnetic–mechanical modeling --- autonomous sensors --- self-powered device --- battery-less modules --- energy harvesting --- Wiegand sensor --- self-oscillating boost converter --- power management --- connected vehicles --- smart cities --- electric vehicle --- IoT --- Tesla --- triboelectric nanogenerators --- ocean wave --- artificial intelligence --- structural health monitoring --- TEG --- thermoelectricity --- thermal energy harvesting --- tracker --- wildlife --- animal --- ultra low power --- 3D printed --- vibration harvester --- electromagnetic --- hybrid --- photovoltaics --- solar panel --- highway --- urban street --- experimental investigation --- water --- solar still --- absorber --- silicon --- temperature --- dual resonance frequencies --- vibration electromagnetic energy harvester --- wide harvested frequency range --- enhanced “band-pass” harvested power --- independent resonant frequencies --- autonomous wireless sensor --- passive energy management --- weak vibration --- electromagnetic converter --- wideband --- planar spring --- voltage multiplier --- rectifier --- predictive maintenance --- failure detection --- WSN --- n/a --- electromagnetic-mechanical modeling --- enhanced "band-pass" harvested power

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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.

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