Automated pipeline for photovoltaic module electroluminescence image processing and degradation feature classification

AM Karimi, JS Fada, MA Hossain… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
An automated data analysis pipeline is developed to preprocess electroluminescence (EL)
module images, and parse the images into individual cells to be used as an input for …

Generalized and mechanistic PV module performance prediction from computer vision and machine learning on electroluminescence images

AM Karimi, JS Fada, NA Parrilla… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Electroluminescence (EL) imaging of photovoltiac (PV) modules offers high-speed, high-
resolution information about device performance, affording opportunities for greater insight …

Impact of cracks in multicrystalline silicon solar cells on PV module power—A simulation study based on field data

A Morlier, F Haase, M Köntges - IEEE Journal of Photovoltaics, 2015 - ieeexplore.ieee.org
In this paper, we present a methodology to exploit the crack statistics of solar cells in
photovoltaic (PV) modules assessed in field for simulating the power output of PV modules …

Enhanced crack segmentation (eCS): a reference algorithm for segmenting cracks in multicrystalline silicon solar cells

D Stromer, A Vetter, HC Oezkan… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
The annually produced quantity of solar modules has steadily increased over the past
decades. Rising production speeds and the associated high throughput of wafers, cells, and …

Effect of interconnect geometry on the evolution of stresses in a solar photovoltaic laminate during and after lamination

WJR Song, SK Tippabhotla, AAO Tay… - Solar Energy Materials …, 2018 - Elsevier
Fracture in silicon crystalline solar cells has been a long-standing challenge encountered in
the photovoltaic (PV) industry. This occurs as result of stresses developing in the cells due to …

Advanced analytics on IV curves and electroluminescence images of photovoltaic modules using machine learning algorithms

V Kumar, P Maheshwari - Progress in Photovoltaics: Research …, 2022 - Wiley Online Library
Advanced analysis and monitoring of photovoltaic solar modules is required to maintain the
reliable operations of photovoltaic plants. Hence, it requires diagnostics through current …

Fracture probability, crack patterns, and crack widths of multicrystalline silicon solar cells in PV modules during mechanical loading

F Haase, J Käsewieter, SR Nabavi… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
We experimentally analyze the position and opening behavior of cracks in multicrystalline
silicon solar cells laminated in standard-sized frameless modules during mechanical …

Investigation of solar cell degradation using electrochemical impedance spectroscopy

DK Sharma, K Pareek… - International journal of …, 2020 - Wiley Online Library
The performance of solar cells reduces annually due to various unavoidable phenomena of
thermal cycling, damp heat, UV exposure, and mechanical stress, etc. Generally, I‐V …

Spatially resolved electrical modelling of cracks and other inhomogeneities in crystalline silicon solar cells

M Kikelj, B Lipovšek, M Bokalič… - Progress in Photovoltaics …, 2021 - Wiley Online Library
We developed a fully scalable quasi‐SPICE approach for electrical modelling of stress‐
induced inhomogeneities in crystalline silicon solar cells, based on damage detected by …

Fracture Properties of Graphene‐Coated Silicon for Photovoltaics

B Javvaji, PR Budarapu, M Paggi… - Advanced Theory …, 2018 - Wiley Online Library
The possibility of replacing the conductive gridline deposited on solar cells by highly
electrically conductive graphene is opening new perspectives for the future generation of …