2134/35598
George Koutsourakis
George
Koutsourakis
Martin Bliss
Martin
Bliss
Tom Betts
Tom
Betts
Ralph Gottschalg
Ralph
Gottschalg
Utilising digital light processing and compressed sensing for photo-current mapping of encapsulated photovoltaic modules
Loughborough University
2018
Current mapping
Compressed sensing
Non-destructive testing
PV modules
Mechanical Engineering not elsewhere classified
2018-10-30 14:25:09
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/Utilising_digital_light_processing_and_compressed_sensing_for_photo-current_mapping_of_encapsulated_photovoltaic_modules/9556133
Photocurrent mapping can provide useful spatial information about the electrical and optical properties of a photovoltaic (PV) device under actual operating conditions. Although it is a well-established technique
for PV cells, direct current mapping measurements of PV modules is impractical and time-consuming to be applied. One has to mechanically shade specific cells of the PV module or destructively access the cell to be measured. In this work, non-destructive, automated current mapping of encapsulated PV modules is demonstrated. A commercial Digital Light Processing (DLP) projector is utilised in order to apply compressive sampling for current mapping of PV modules. This method is non-destructive, cost effective and significantly fewer measurements are needed for acquiring a current map compared to raster scanning methods. When applying compressive sampling, a series of patterns is projected on the sample, the current response is measured for each pattern and the current map is acquired using an optimisation algorithm. Specific shading strategies, voltage bias settings and I-V curve details are investigated for
optimised compressive sampling.