journal article·2022-01-01Open access

Numerical analysis of the effects of distributed series resistance and lateral conduction in solar cells

Hongliang Guo, Qiang Sun, Qiming Zhang, Heng Zhang, Liyong Yao, Chao Xue, Yanmei Wu, Yue Tang, Rubin Liu

AIP Advances· Volume 12· Issue 1

Abstract

Large-area solar cells are more susceptible to imperfect surfaces, such as edges or cracks. Numerical two-dimensional methods are developed and applied to study the effects of the imperfect surface in solar cells. The two-dimensional effects investigated in this work reveal the lateral conduction of solar cells, which causes inconsistent potentials and a deviation of photocurrent. The mask effects from distributed series resistance on luminescence techniques, such as photoluminescence and electroluminescence, are also explored. Lateral conduction hides the information of the real distribution of defects, and numerical methods are applied to eliminate the effect. In multijunction solar cells, lateral conduction in the interlayer leads to the complementarity between the luminescence of top and bottom cells. Furthermore, the distributed series resistance also causes a knee in the I–V curves, resulting in a decrease in the efficiency of the cell. The research in this work demonstrates that different categories of defects show different influences on solar cells, and the effect is more obvious on the open-circuit voltage rather than the short-circuit current. The study of distributed series resistance and lateral conduction in this work not only gives an explanation of experimental data but also provides instructions for the developments of large-area solar cells.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Silicon and Solar Cell Technologies · solar cell performance optimization · Thin-Film Transistor Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Tianjin Institute of Power Sources , Tianjin, China

References (16)

Show source-provided references
1. Solar cell efficiency tables (version 56)10.1002/pip.3303 ↗
2. 2D device modelling and finite element simulations for thin-film solar cells10.1016/j.solmat.2008.11.058 ↗
3. Analysing solar cells by circuit modelling10.1016/j.egypro.2012.07.004 ↗
4. Study of non-uniform light profiles on high concentration III–V solar cells using quasi-3D distributed models
5. Explanation for the dark I–V curve of III–V concentrator solar cells10.1002/pip.805 ↗
6. Spatial modeling of thin-film solar modules using the network simulation method and SPICE10.1109/jphotov.2011.2160524 ↗
7. A validated SPICE network simulation study on improving tunnel diodes by introducing lateral conduction layers10.1002/pip.1133 ↗
8. Griddler: Intelligent computer aided design of complex solar cell metallization patterns
9. Quokka version 2: Selective surface doping, luminescence modeling and data fitting
10. Sesame: A 2-dimensional solar cell modeling tool10.1016/j.solmat.2019.03.037 ↗
11. 2012
12. Defect detection of solar cells in electroluminescence images using Fourier image reconstruction10.1016/j.solmat.2011.12.007 ↗
13. Analysis of perimeter recombination in the subcells of GaInP/GaAs/Ge triple-junction solar cells10.1002/pip.2501 ↗
14. Perimeter recombination characterization by luminescence imaging10.1109/jphotov.2015.2480225 ↗
15. Shunt types in crystalline silicon solar cells10.1002/pip.544 ↗
16. Relation between substrate surface morphology and microcrystalline silicon solar cell performance10.1016/j.jnoncrysol.2007.09.084 ↗