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Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality

Author

Listed:
  • Andrea Patanè

    (University of Oxford)

  • Andrea Santoro

    (Queen Mary University of London)

  • Vittorio Romano

    (University of Catania)

  • Antonino La Magna

    (CNR)

  • Giuseppe Nicosia

    (University of Catania
    University of Reading
    University of Cambridge)

Abstract

We present a composite design methodology for the simulation and optimization of the solar cell performance. Our method is based on the synergy of different computational techniques and it is especially designed for the thin-film cell technology. In particular, we aim to efficiently simulate light trapping and plasmonic effects to enhance the light harvesting of the cell. The methodology is based on the sequential application of a hierarchy of approaches: (a) full Maxwell simulations are applied to derive the photon’s scattering probability in systems presenting textured interfaces; (b) calibrated Photonic Monte Carlo is used in junction with the scattering matrices method to evaluate coherent and scattered photon absorption in the full cell architectures; (c) the results of these advanced optical simulations are used as the pair generation terms in model implemented in an effective Technology Computer Aided Design tool for the derivation of the cell performance; (d) the models are investigated by qualitative and quantitative sensitivity analysis algorithms, to evaluate the importance of the design parameters considered on the models output and to get a first order descriptions of the objective space; (e) sensitivity analysis results are used to guide and simplify the optimization of the model achieved through both Single Objective Optimization (in order to fully maximize devices efficiency) and Multi Objective Optimization (in order to balance efficiency and cost); (f) Local, Global and “Glocal” robustness of optimal solutions found by the optimization algorithms are statistically evaluated; (g) data-based Identifiability Analysis is used to study the relationship between parameters. The results obtained show a noteworthy improvement with respect to the quantum efficiency of the reference cell demonstrating that the methodology presented is suitable for effective optimization of solar cell devices.

Suggested Citation

  • Andrea Patanè & Andrea Santoro & Vittorio Romano & Antonino La Magna & Giuseppe Nicosia, 2018. "Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality," Journal of Global Optimization, Springer, vol. 72(3), pages 491-515, November.
    • Handle: RePEc:spr:jglopt:v:72:y:2018:i:3:d:10.1007_s10898-018-0639-9
    DOI: 10.1007/s10898-018-0639-9
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    References listed on IDEAS

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    1. Marc Hafner & Heinz Koeppl & Martin Hasler & Andreas Wagner, 2009. "‘Glocal’ Robustness Analysis and Model Discrimination for Circadian Oscillators," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-10, October.
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