4.6 Article

Optoelectronic modeling and sensitivity analysis of a four-terminal all-perovskite tandem solar cell - Identifying pathways to improve efficiency

期刊

SOLAR ENERGY
卷 216, 期 -, 页码 589-600

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.solener.2021.01.021

关键词

Four-terminal tandem; Monte carlo simulation; Optoelectronic model; Perovskite; Solar cell

资金

  1. National University of Singapore (NUS)
  2. National Research Foundation Singapore (NRF)
  3. Singapore Economic Development Board (EDB)

向作者/读者索取更多资源

An optoelectronic model was developed for a four-terminal all-perovskite tandem solar cell and validated through experiments. A stochastic Monte Carlo simulation identified key parameters influencing cell efficiencies, with transparent electrode layer thicknesses for the top and bottom cells ranked among the highest. Fine-tuning layer thicknesses was shown to enhance tandem efficiency from 23.1% to 24.4% with further optimization potential.
We develop an optoelectronic model for a four-terminal all-pemvskite tandem solar cell comprising a top and a bottom cell that are mechanically stacked together. In essence, the model captures conservation of charge carriers, the electric field via the Poisson equation, the coherent and incoherent light propagation and subsequent carrier generation and recombination mechanisms. Experiments for the stand-alone bottom and top cells as well as the tandem cell calibrate and validate the model with overall good agreement. To elucidate the relative importance of the geometrical and material parameters, a stochastic Monte Carlo simulation is carried out with a sample size of ten thousand for thirty-six simultaneously varied parameters. These parameters are ranked according to their influence on the efficiencies of the top, bottom, and tandem cell: The thicknesses for the top- and bottom-cell transparent electrode layers are ranked amongst the highest. Finally, we show how one can fine-tune the layer thicknesses to enhance the tandem efficiency from the base case of 23.1% to 24.4% and carry out further optimizations.

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