Towards a circular supply chain for PV modules: Review of today's challenges in PV recycling, refurbishment and re‐certification

JA Tsanakas, A van der Heide… - Progress in …, 2020 - Wiley Online Library
Photovoltaic (PV) waste, associated to the exponentially growing PV installations on global
scale, presents today an emerging environmental challenge but also brings unprecedented …

A full overview of international standards assessing the long-term stability of perovskite solar cells

P Holzhey, M Saliba - Journal of Materials Chemistry A, 2018 - pubs.rsc.org
Recently organic–inorganic perovskite solar cells (PSCs) have emerged as promising
candidates for photovoltaics because of their relatively high efficiency and low processing …

Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

D Manno, G Cipriani, G Ciulla, V Di Dio… - Energy Conversion and …, 2021 - Elsevier
Losses of electricity production in photovoltaic systems are mainly caused by the presence
of faults that affect the efficiency of the systems. The identification of any overheating in a …

A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle

A Di Tommaso, A Betti, G Fontanelli, B Michelozzi - Renewable energy, 2022 - Elsevier
As solar capacity installed worldwide continues to grow, there is an increasing awareness
that advanced inspection systems are becoming of utmost importance to schedule smart …

Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images

MY Demirci, N Beşli, A Gümüşçü - Expert Systems with Applications, 2021 - Elsevier
Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …

A combined convolutional neural network model and support vector machine technique for fault detection and classification based on electroluminescence images of …

A Et-taleby, Y Chaibi, A Allouhi, M Boussetta… - … Energy, Grids and …, 2022 - Elsevier
Nowadays, photovoltaic (PV) systems are gaining increasing momentum due to their ability
to generate clean and affordable electric power. However, many factors can impede the …

Aerial infrared thermography for low-cost and fast fault detection in utility-scale PV power plants

AKV de Oliveira, M Aghaei, R Rüther - Solar Energy, 2020 - Elsevier
The uptime of utility-scale solar photovoltaic (PV) power plants is of utmost importance for
meeting contractual energy yields and expected capacity factors. Aerial Infrared …

[HTML][HTML] Degradation analysis of photovoltaic modules after operating for 22 years. A case study with comparisons

L Lillo-Sánchez, G López-Lara, J Vera-Medina… - Solar Energy, 2021 - Elsevier
The analysis of degradation mechanisms of photovoltaic (PV) modules is key to ensure its
current lifetime and the economic feasibility of PV systems. Field operation is the best way to …

Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation

L Pratt, D Govender, R Klein - Renewable Energy, 2021 - Elsevier
Electroluminescence (EL) images enable defect detection in solar photovoltaic (PV)
modules that are otherwise invisible to the naked eye, much the same way an x-ray enables …

[HTML][HTML] Degradation analysis of installed solar photovoltaic (PV) modules under outdoor conditions in Ghana

B Aboagye, S Gyamfi, EA Ofosu, S Djordjevic - Energy Reports, 2021 - Elsevier
Photovoltaic (PV) module degradation rate depends on technology, manufacturer and
environmental conditions. This makes it challenging to transfer the results of degradation …