PV Panel and PV Inverter Damages Caused by Combination of Edge Delamination, Water Penetration, and High String Voltage in Moderate Climate

Poulek, V.; Šafránková, Jana; Cerna, Ladislava; Libra, Martin; Beránek, Václav; Finsterle, Tomáš; Hrzina, Pavel

doi:10.1109/jphotov.2021.3050984

Cited by 47 publications

(22 citation statements)

References 10 publications

(7 reference statements)

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“…However, conventional solar panels have limitations when being applied to buildings. They have limited varieties of shapes and colors for building integration and require limited weather conditions for optimal operation [8][9][10][11]. Luminescent solar concentrators (LSCs) emerged to address these issues with conventional solar panels.…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Investigation on the Photothermal Properties of Luminescent Solar Concentrators

Sun

Zhang

et al. 2021

Optics

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Luminescent solar concentrators (LSCs) are considered promising photovoltaic (PV) devices to circumvent practical issues of applying conventional solar panels to the built environment. However, LSCs suffer from low power conversion efficiencies (PCEs) (typically <2% for devices of over 1 m2), despite numerous efforts having been made to develop novel luminescent materials and optical techniques. In this report, we proposed to utilize photothermal (PT) energy of the LSCs to further improve the PCE. We conducted a preliminary investigation on the PV and PT properties of an LSC with dimensions of 300 mm × 300 mm × 5 mm. The results showed that the PT power (27.05 W) was much higher than the PV power (2.12 W). Further analysis indicated that the PCE could reach 3.41% for a device of 1 m2.

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Section: Introductionmentioning

confidence: 99%

A Preliminary Investigation on the Photothermal Properties of Luminescent Solar Concentrators

Sun

Zhang

et al. 2021

Optics

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“…Deep residual neural network [27] Mini-grid/large grid Online Acoustic wave method [28] Mini-grid/large grid Online Imaging technique [29] Mini-grid/large grid Offline Weather Inverse distance weighting [30] Home/mini-grid/large grid Online Data analytics [31] Home/mini-grid/large grid Online Theta-krill herd algorithm [32] Home/mini-grid/large grid Online Delamination Electric discharge channel [33] Mini-grid/large grid Online Thermal imaging [34] Mini/large grid Offline Aging test [35] Mini/large grid Offline Discoloration I-V characteristic analysis [36] Mini/large grid Offline Accelerated testing (AT) [37] Mini-grid/large grid Online Spectroscopic investigation [38] Mini-grid/large grid Offline…”

Section: Dust Accumulationmentioning

confidence: 99%

An Effective Evaluation on Fault Detection in Solar Panels

et al. 2021

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The world’s energy consumption is outpacing supply due to population growth and technological advancements. For future energy demands, it is critical to progress toward a dependable, cost-effective, and sustainable renewable energy source. Solar energy, along with all other alternative energy sources, is a potential renewable resource to manage these enduring challenges in the energy crisis. Solar power generation is expanding globally as a result of growing energy demands and depleting fossil fuel reserves, which are presently the primary sources of power generation. In the realm of solar power generation, photovoltaic (PV) panels are used to convert solar radiation into energy. They are subjected to the constantly changing state of the environment, resulting in a wide range of defects. These defects should be discovered and remedied as soon as possible so that PV panels efficiency, endurance, and durability are not compromised. This paper focuses on five aspects, namely, (i) the various possible faults that occur in PV panels, (ii) the online/remote supervision of PV panels, (iii) the role of machine learning techniques in the fault diagnosis of PV panels, (iv) the various sensors used for different fault detections in PV panels, and (v) the benefits of fault identification in PV panels. Based on the investigated studies, recommendations for future research directions are suggested.

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“…Some of these threats affect their production, which increases cost, and decreases profitability. The most common threats are the failures in the inverters and PV modules [8]. Through dirty equipment, the state of the environment, or manufacturing defects in the PV modules, PV plant energy generation can be curtailed by 31% in the worst cases [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Coverage Path Planning with Semantic Segmentation for UAV in PV Plants

et al. 2021

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Solar energy is one of the most strategic energy sources for the world’s economic development. This has caused the number of solar photovoltaic plants to increase around the world; consequently, they are installed in places where their access and manual inspection are arduous and risky tasks. Recently, the inspection of photovoltaic plants has been conducted with the use of unmanned aerial vehicles (UAV). Although the inspection with UAVs can be completed with a drone operator, where the UAV flight path is purely manual or utilizes a previously generated flight path through a ground control station (GCS). However, the path generated in the GCS has many restrictions that the operator must supply. Due to these restrictions, we present a novel way to develop a flight path automatically with coverage path planning (CPP) methods. Using a DL server to segment the region of interest (RoI) within each of the predefined PV plant images, three CPP methods were also considered and their performances were assessed with metrics. The UAV energy consumption performance in each of the CPP methods was assessed using two different UAVs and standard metrics. Six experiments were performed by varying the CPP width, and the consumption metrics were recorded in each experiment. According to the results, the most effective and efficient methods are the exact cellular decomposition boustrophedon and grid-based wavefront coverage, depending on the CPP width and the area of the PV plant. Finally, a relationship was established between the size of the photovoltaic plant area and the best UAV to perform the inspection with the appropriate CPP width. This could be an important result for low-cost inspection with UAVs, without high-resolution cameras on the UAV board, and in small plants.

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PV Panel and PV Inverter Damages Caused by Combination of Edge Delamination, Water Penetration, and High String Voltage in Moderate Climate

Cited by 47 publications

References 10 publications

A Preliminary Investigation on the Photothermal Properties of Luminescent Solar Concentrators

A Preliminary Investigation on the Photothermal Properties of Luminescent Solar Concentrators

An Effective Evaluation on Fault Detection in Solar Panels

Coverage Path Planning with Semantic Segmentation for UAV in PV Plants

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