Opto-electrical model of a single-junction photovoltaic cell using Monte Carlo methods
Year: 2025
Type: article
Abstract: In the context of the development of solar photovoltaics for global energy production, it remains essential to clearly identify performance limitations. The present article revisits the interpretations of photovoltaic cell performance by introducing a path-integral formulation of the current. The case of a single p–n junction cell operating in low injection conditions is examined as a proof of concept. The total current is calculated by implementing two different algorithms, which exhibit two viewpoints for analyzing the physics involved. The first one describes random walks on a reverse path space, back to the source of charge carriers. The second one describes random walks on a direct path space, starting from the source. Both algorithms are validated against an analytical solution. A Monte Carlo (MC) algorithm is also proposed for directly determining the voltage at the maximum power point without requiring the entire current–voltage curve. The calculation of a spectral-spatial internal quantum efficiency, combined with a statistical analysis of the random paths, demonstrates the relevance of this approach for interpreting the involved physics. Numerous benefits are anticipated from our advancements in MC techniques: enhanced physics representations, insensitivity of computation time to the dimension of the integration domain, and to the geometrical complexity at all scales.
Institutions: Laboratoire Énergies & Mécanique Théorique et Appliquée, Institut Pascal, Laboratoire Plasma et Conversion d'Energie, Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement, Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,325
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4415164226
