Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality
Autor: | Andrea Patane, Giuseppe Nicosia, Vittorio Romano, Antonino La Magna, Andrea Santoro |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Control and Optimization Monte Carlo method Sobol indexes 02 engineering and technology Management Science and Operations Research Photonic Monte Carlo Multi-objective optimization Quantum efficiency law.invention 03 medical and health sciences Clonal selection algorithm Robustness (computer science) law Morris method OptIA Robustness analysis Thin-film silicon solar cell Computer Science Applications1707 Computer Vision and Pattern Recognition Applied Mathematics Solar cell Electronic engineering Mathematics business.industry 021001 nanoscience & nanotechnology Computer Science Applications 030104 developmental biology Photonics 0210 nano-technology business Technology CAD |
Zdroj: | Journal of Global Optimization. 72:491-515 |
ISSN: | 1573-2916 0925-5001 |
DOI: | 10.1007/s10898-018-0639-9 |
Popis: | 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. |
Databáze: | OpenAIRE |
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