Volume 9, 2018
|Number of page(s)||7|
|Published online||21 December 2018|
SLALOM: Open-source, portable, and easy-to-use solar cell optimizer. Application to the design of InGaN solar cells
Université de Lorraine, CentraleSupélec, LMOPS, 57000 Metz, France
* e-mail: firstname.lastname@example.org
Received in final form: 22 October 2018
Accepted: 22 November 2018
Published online: 21 December 2018
The design and optimization of novel structures is an essential part of the next-generation solar cells development. Indeed, the technological steps involved in the development of high-performance solar cells involve a huge set of interdependent physical and geometrical parameters: layers thicknesses, dopings, compositions, and defect characteristics. In this work, we propose a new open-source and free solar cell optimizer: SLALOM − for SoLAr ceLl multivariate OptiMizer − that implements a rigorous multivariate approach, which improves from the one-parameter-at-a-time procedure that is traditionally used in the field to a state-of-the-art multivariate approach. Applied to indium gallium nitride (InGaN) solar cells, it shows its potential to become a useful tool for the development of novel solar cells. SLALOM is implemented to be extended to any semiconductor simulation engine. Several models for solar cells have been implemented in SLALOM, including, for instance, InGaN. One can adapt these models to any solar cell technology by changing the parameter set, the here proposed generic code structure remaining unchanged.
Key words: SLALOM / solar cell / optimization / simulation / design / InGaN
© S. Ould Saad Hamady and N. Fressengeas, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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