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Updated: Mar 1, 2026

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In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells
Published on: October 3, 2018
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Local photocurrent mapping and cell performance behaviour on a nanometre scale for monolithically interconnected
M Haggui1, B Reinhold2,3, P Andrae1
1Institut für Experimentalphysik, Freie Universität Berlin, Berlin, Germany.
Journal of Microscopy
|May 27, 2017
Summary
Scanning near-field optical microscopy revealed local efficiency variations in lamellar copper indium gallium selenide solar cells. Photocurrent generation is linked to the ZnO:Al/i-ZnO electrode
Area of Science:
- Materials Science
- Renewable Energy
- Nanotechnology
Background:
- Lamellar shaped copper indium gallium selenide (Cu(In,Ga)Se2) solar cells are a key area of research in renewable energy.
- Understanding local efficiency variations is crucial for optimizing photovoltaic device performance.
Purpose of the Study:
- To investigate the local efficiency of lamellar Cu(In,Ga)Se2 solar cells at the nanoscale.
- To correlate photocurrent generation with surface topography and material properties.
Main Methods:
- Simultaneous topographic and photocurrent measurements using scanning near-field optical microscopy (SNOM).
- Utilized a 100 nm tip aperture for high-resolution nanoscale analysis.
- Investigated different regions of a P-scribed lamellar solar cell.
Main Results:
- The cell region between P1 and P2 significantly contributes to overall photocurrent generation.
- Photocurrent is dependent on local sample topography, primarily due to roughness variations in the ZnO:Al/i-ZnO top electrode.
- Regions under large ZnO grains produced less current compared to regions under small granules.
- Observed photocurrent features were attributed to the ZnO:Al/i-ZnO top electrode and were independent of light wavelength (532 nm and 633 nm).
Conclusions:
- Local topography of the ZnO:Al/i-ZnO electrode significantly impacts photocurrent generation in lamellar Cu(In,Ga)Se2 solar cells.
- Nanoscale characterization using SNOM provides critical insights into efficiency variations.
- Optimization of electrode surface morphology is essential for enhancing solar cell performance.

