Simulation-based Efficiency Gain Analysis of 21.2%-efficient Screen-printed PERC Solar Cells

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Kranz, C.; Petermann, J.H.; Dullweber, T.; Brendel, R.: Simulation-based Efficiency Gain Analysis of 21.2%-efficient Screen-printed PERC Solar Cells. In: Energy Procedia 92 (2016), S. 109-115. DOI: https://doi.org/10.1016/j.egypro.2016.07.038

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Abstract: 
Passivated Emitter and Rear Cells (PERC) with efficiencies well above 20% are likely to become the next mass production technology. A quantification of all power loss mechanisms of such industrial PERC cells is helpful in prioritizing future efficiency improvement measures. We report on a numerical simulation of the power losses of a 21.2%-efficient industrial PERC cell using extensive experimental input data. Our synergetic efficiency gain analysis relies on deactivating single power loss mechanisms in the simulation at a time to access the full potential power gain related to that mechanism. The complete analysis therefore explains the efficiency gap between the industrial PERC solar cell and the theoretical maximum efficiency of a crystalline Si solar cell. Based on the simulations, the largest single loss mechanism is front grid shadowing followed by recombination in the emitter and its surface. All individual resistive losses, all individual optical losses and all (avoidable) individual recombination losses sum up to efficiency gains of 0.8%, 1.6%, and 1.3%, respectively, which is 3.7% in total. The efficiency gap between real and ideal solar cell is, however, much larger with 7.3%. The discrepancy is mainly due to the non-linear behaviour of recombination-based power losses which adds synergetic efficiency enhancements.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Issue Date: 2016
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 563 72.74%
2 image of flag of China China 71 9.17%
3 image of flag of United States United States 68 8.79%
4 image of flag of Taiwan Taiwan 7 0.90%
5 image of flag of Korea, Republic of Korea, Republic of 6 0.78%
6 image of flag of India India 6 0.78%
7 image of flag of Singapore Singapore 5 0.65%
8 image of flag of France France 5 0.65%
9 image of flag of Algeria Algeria 5 0.65%
10 image of flag of Russian Federation Russian Federation 4 0.52%
    other countries 34 4.39%

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