Mathematical Analysis and Proof of Existence of The Photovoltaic Exponential Model

This paper derives the Photovoltaic Exponential Model (PVEM) from fundamental physical principles of solar cells and known boundary conditions, a numerically efficient model that approximates current-voltage (I-V) curves of photovoltaic (PV) modules using parameters readily available from the module’s manufacturer data sheet and standard test conditions. A demonstration of the PVEM’s utility is presented by obtaining an analytical approximation for the maximum power point (MPP) using the Lambert W function, which serves as a complement to traditional numerical methods. This solution is validated using 613 sets of I-V curves measured by Sandia National Laboratories as well as metadata from 20,000+ PV modules. Mean absolute V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mp</inf> errors are less than 1% compared with experimental measurements.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/compel57166.2025.11121194
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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article

Mathematical Analysis and Proof of Existence of The Photovoltaic Exponential Model

Joshua S. Stein, Eduardo I. Ortiz Rivera, Jorge A. Leòn
Power Systems and Renewable Energy
article

Mathematical Analysis and Proof of Existence of The Photovoltaic Exponential Model

Joshua S. Stein, Eduardo I. Ortiz Rivera, Jorge A. Leòn
article en

Abstract

This paper derives the Photovoltaic Exponential Model (PVEM) from fundamental physical principles of solar cells and known boundary conditions, a numerically efficient model that approximates current-voltage (I-V) curves of photovoltaic (PV) modules using parameters readily available from the module’s manufacturer data sheet and standard test conditions. A demonstration of the PVEM’s utility is presented by obtaining an analytical approximation for the maximum power point (MPP) using the Lambert W function, which serves as a complement to traditional numerical methods. This solution is validated using 613 sets of I-V curves measured by Sandia National Laboratories as well as metadata from 20,000+ PV modules. Mean absolute V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mp</inf> errors are less than 1% compared with experimental measurements.

Sandia National Laboratories (US), University of Puerto Rico-Mayaguez (PR)
U.S. Department of Energy, National Nuclear Security Administration
Openalex Percentile: Top 78%
Power Systems and Renewable Energy
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