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contributor authorDávalos-Orozco, Óscar
contributor authorRodrigo, Pedro M.
contributor authorBrambila-Paz, Fernando
contributor authorRosas-Caro, Julio C.
date accessioned2024-04-24T22:45:40Z
date available2024-04-24T22:45:40Z
date copyright10/18/2023 12:00:00 AM
date issued2023
identifier issn0199-6231
identifier othersol_146_2_021008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295826
description abstractThe mathematical modeling of solar cells and panels is critical in many photovoltaic applications. However, the standard single-diode solar cell model, commonly selected to model these devices, is implicit and difficult to integrate into simulation software. Therefore, exact explicit solutions of this model, more suitable for computing purposes, have been proposed based on the Lambert W-function. This work introduces an explicit single-diode, easy-to-use six-parameter solar cell model. The proposed model is formulated with elementary functions. The model is developed and tested over seven photovoltaic technologies as an alternative to traditional approaches. Results of the extensive comparison of the three models (implicit, explicit Lambert W, and explicit six-parameter) show that the proposed approach is more accurate (14.81% relative improvement on average compared to the traditional methods), almost as fast as the Lambert W approach and much faster than the implicit approach. Due to its simplicity and accuracy, the proposed model will become an alternative in photovoltaic applications such as energy prediction and maximum power point tracking.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Accurate Explicit Six-Parameter Solar Cell Model Based on Single-Diode and Its Parameter Extraction for Seven Photovoltaic Technologies
typeJournal Paper
journal volume146
journal issue2
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4063621
journal fristpage21008-1
journal lastpage21008-12
page12
treeJournal of Solar Energy Engineering:;2023:;volume( 146 ):;issue: 002
contenttypeFulltext


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