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.
Funding
This work was funded through the European
Metrology Research Programme (EMRP) Project
16ENG02 PV-Enerate. The EMRP is jointly funded by the EMRP participating countries within EURAMET and the European Union. This work is co-funded by the UK National Measurement System.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
36th European Photovoltaic Solar Energy Conference and Exhibition
Pages
? - ? (7)
Citation
KOUTSOURAKIS, G. ... et al., 2018. Utilising digital light processing and compressed sensing for photo-current mapping of encapsulated photovoltaic modules. Proceedings of the 35th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 35), Brussels, Belgium, 24 - 28 Sept, pp.1065-1071.
Publisher
WIP
Version
AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/