2018
DOI: 10.1016/j.renene.2017.11.010
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Outdoor detection and visualization of hailstorm damages of photovoltaic plants

Abstract: Photovoltaic modules can experience damages of varying severity in the case of heavy hail storms. In the worst case, complete glass and solar cell breakage results in efficiency and security losses of the affected modules which therefore have to be replaced. However, there is a strong need to inspect the remaining modules directly in the field in order to assure no hidden damage. Three hail-affected photovoltaic plants in the south of Austria were investigated first with common standard methods like analysis o… Show more

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Cited by 53 publications
(25 citation statements)
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“…Excitation with UV light was performed with a self‐made UV lamp, consisting of three power‐tuneable LED‐arrays with an emission maximum at 365 nm and a short pass filter to cut off all visible light emitted. Power supply is a modified DC/DC converter with a controllable and piecewise constant voltage/constant current characteristic, providing a maximum DC power of 300 W, sourced by a 12 cell lithium‐polymer accumulator with a capacity of 5000 mAh . This characterization method is nondestructive, non‐invasive, easy to handle, and fast (an exposure time of 30 seconds is sufficient to achieve a well‐contrasted UV‐fluorescence image of a module) 6, 39 40 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Excitation with UV light was performed with a self‐made UV lamp, consisting of three power‐tuneable LED‐arrays with an emission maximum at 365 nm and a short pass filter to cut off all visible light emitted. Power supply is a modified DC/DC converter with a controllable and piecewise constant voltage/constant current characteristic, providing a maximum DC power of 300 W, sourced by a 12 cell lithium‐polymer accumulator with a capacity of 5000 mAh . This characterization method is nondestructive, non‐invasive, easy to handle, and fast (an exposure time of 30 seconds is sufficient to achieve a well‐contrasted UV‐fluorescence image of a module) 6, 39 40 .…”
Section: Methodsmentioning
confidence: 99%
“…34 cell lithium-polymer accumulator with a capacity of 5000 mAh. 38,39 This characterization method is nondestructive, non-invasive, easy to handle, and fast (an exposure time of 30 seconds is sufficient to achieve a well-contrasted UV-fluorescence image of a module) 6, 39 40 .…”
Section: Electroluminescence Measurements (El)mentioning
confidence: 99%
“…Such damage would lead to the loss of output power, system security, and safety of PV panels. After heavy hail attacks, potential hidden damage may be found through very careful PV inspection [98]. Of course, the damaged panel would need to be replaced.…”
Section: Image Processing In Pv Fault Diagnosticsmentioning
confidence: 99%
“…Upon improper handling, transport and/or installation of PV modules, failures due to mechanical impact, such as cracked cells, disruptions in the electric connection system or glass breakage, can occur (an elaborated review of failure modes of PV modules is given in [11]), [12]. Furthermore, extreme stress imposed on installed modules by storm events, heavy snow loads or hail storms can also cause such failures [13][14][15][16][17]. Thus, one of the major concerns, especially for operation and maintenance (O & M) companies, is to forecast how mechanically-induced module failures develop over time and how this will affect yield under different stress conditions in the future [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…In the Austrian flagship research project, INFINITY, the topics of in-field failure detection and failure propagation were also addressed [17,21,22]. The objective of the work presented here is to investigate the detectability of various mechanically-induced failures (glass crack, solar cell micro-cracks and defects in the cell connection system) and their potential propagation under artificial stress conditions (enhanced temperature, humidity and irradiation) as well as under outdoor weathering conditions.…”
Section: Introductionmentioning
confidence: 99%