van de Stadt, Chris H. and Gonzalez, Pilar E. and Atwater, Harry A. and Saive, Rebecca (2019) A computationally efficient simulation method for optimizing front contacts of concentrator multijunction solar cells. In: 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC). IEEE , Piscataway, NJ, pp. 288-291. ISBN 978-1-7281-0494-2. https://resolver.caltech.edu/CaltechAUTHORS:20200214-101848520
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Abstract
In this work, a novel multidiode model is proposed for optimizing the front grid of multijunction solar cells operating under concentration conditions. The model allows for quickly exploring the maximum achievable efficiency under a wide range of operating conditions and design parameters such as the redirecting capability, period and width of the fingers, the light concentration, and the metal and emitter sheet resistivity. The proposed multidiode model shows to be consistent with experimental data and with more complex modeling approaches such as the simulation program with integrated circuit emphasis (SPICE) model.
Item Type: | Book Section | ||||||
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Additional Information: | © 2019 IEEE. | ||||||
Subject Keywords: | solar cell front contact grids, device modeling, multijunction solar cells, concentrator photovoltaics | ||||||
DOI: | 10.1109/PVSC40753.2019.8980823 | ||||||
Record Number: | CaltechAUTHORS:20200214-101848520 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200214-101848520 | ||||||
Official Citation: | C. H. van de Stadt, P. E. Gonzalez, H. A. Atwater and R. Saive, "A computationally efficient simulation method for optimizing front contacts of concentrator multijunction solar cells," 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), Chicago, IL, USA, 2019, pp. 0288-0291. doi: 10.1109/PVSC40753.2019.8980823 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 101290 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 14 Feb 2020 18:26 | ||||||
Last Modified: | 16 Nov 2021 18:01 |
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