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Compressed sensing current mapping methods for PV characterisation
The Compressed Sensing (CS) sampling theory has been combined with the Light Beam Induced Current (LBIC) method, to produce an alternative current mapping technique for photovoltaic (PV) devices. Compressive sampling of photocurrent is experimentally implemented using a Digital Micro-mirror Device (...
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| Main Authors: | , , , , , |
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| Format: | Default Conference proceeding |
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2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22058 |
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| _version_ | 1818171878575964160 |
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| author | George Koutsourakis Matt Cashmore Martin Bliss Simon R.G. Hall Tom Betts Ralph Gottschalg |
| author_facet | George Koutsourakis Matt Cashmore Martin Bliss Simon R.G. Hall Tom Betts Ralph Gottschalg |
| author_sort | George Koutsourakis (1251867) |
| collection | Figshare |
| description | The Compressed Sensing (CS) sampling theory has been combined with the Light Beam Induced Current (LBIC) method, to produce an alternative current mapping technique for photovoltaic (PV) devices. Compressive sampling of photocurrent is experimentally implemented using a Digital Micro-mirror Device (DMD). The main advantage of this new method for current mapping is that measurement time can be significantly reduced compared to conventional LBIC measurement systems. This is achieved mainly by acquiring fewer measurements than a raster scan would need and by utilizing the fast response of the micro-mirror array. Two different experimental layouts are considered in this work. The first is a small area optical set-up based on a single wavelength laser source. The second layout utilizes a commercial Digital Light Processing (DLP) projector through which compressive sampling is applied. Experimental results with both experimental schemes demonstrate that current maps can be produced with less than 50% of the measurements a standard LBIC system would need. The ability to acquire current maps of individual cells in encapsulated modules is also highlighted. The advantages and drawbacks of the method are presented and its potential to significantly reduce measurement time of current mapping of PV cells and modules is indicated. |
| format | Default Conference proceeding |
| id | rr-article-9553664 |
| institution | Loughborough University |
| publishDate | 2016 |
| record_format | Figshare |
| spelling | rr-article-95536642016-01-01T00:00:00Z Compressed sensing current mapping methods for PV characterisation George Koutsourakis (1251867) Matt Cashmore (7209056) Martin Bliss (1250019) Simon R.G. Hall (7208591) Tom Betts (1258395) Ralph Gottschalg (1247661) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified The Compressed Sensing (CS) sampling theory has been combined with the Light Beam Induced Current (LBIC) method, to produce an alternative current mapping technique for photovoltaic (PV) devices. Compressive sampling of photocurrent is experimentally implemented using a Digital Micro-mirror Device (DMD). The main advantage of this new method for current mapping is that measurement time can be significantly reduced compared to conventional LBIC measurement systems. This is achieved mainly by acquiring fewer measurements than a raster scan would need and by utilizing the fast response of the micro-mirror array. Two different experimental layouts are considered in this work. The first is a small area optical set-up based on a single wavelength laser source. The second layout utilizes a commercial Digital Light Processing (DLP) projector through which compressive sampling is applied. Experimental results with both experimental schemes demonstrate that current maps can be produced with less than 50% of the measurements a standard LBIC system would need. The ability to acquire current maps of individual cells in encapsulated modules is also highlighted. The advantages and drawbacks of the method are presented and its potential to significantly reduce measurement time of current mapping of PV cells and modules is indicated. 2016-01-01T00:00:00Z Text Conference contribution 2134/22058 https://figshare.com/articles/conference_contribution/Compressed_sensing_current_mapping_methods_for_PV_characterisation/9553664 CC BY-NC-ND 4.0 |
| spellingShingle | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified George Koutsourakis Matt Cashmore Martin Bliss Simon R.G. Hall Tom Betts Ralph Gottschalg Compressed sensing current mapping methods for PV characterisation |
| title | Compressed sensing current mapping methods for PV characterisation |
| title_full | Compressed sensing current mapping methods for PV characterisation |
| title_fullStr | Compressed sensing current mapping methods for PV characterisation |
| title_full_unstemmed | Compressed sensing current mapping methods for PV characterisation |
| title_short | Compressed sensing current mapping methods for PV characterisation |
| title_sort | compressed sensing current mapping methods for pv characterisation |
| topic | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified |
| url | https://hdl.handle.net/2134/22058 |