Thin-film PV modules early degradation analysis: a case study on CIGS

Diez-Suárez, Ana-María; Calzada-Lorenzo, D. de la; González-Martínez, Alberto; Prado, L. Álvarez-de; Puente-Gil, Álvaro de la; Blanes‐Peiró, Jorge Juan; Simón-Martín, Miguel de

doi:10.24084/repqj17.299

Cited by 4 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, thin-film PV modules, whose response is more dependent to the diffuse solar radiation, are wrapped in a waterproof and flexible enclosure that is typically glued on fixed sloped or flat warehouse rooftops. Module degradation is roughly estimated in 1% for crystalline PV modules [2] and 3-4% for thin-film [3] on average per year due to intrinsic and extrinsic deficiencies.…”

Section: Motivationmentioning

confidence: 99%

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle

Tommaso¹,

Betti²,

Fontanelli³

et al. 2021

Preprint

View full text Add to dashboard Cite

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 interventions and minimize downtime likelihood. In this work we propose a novel automatic multi-stage model to detect panel defects on aerial images captured by unmanned aerial vehicle by using the YOLOv3 network and Computer Vision techniques. The model combines detections of panels and defects to refine its accuracy. The main novelties are represented by its versatility to process either thermographic or visible images and detect a large variety of defects and its portability to both rooftop and ground-mounted PV systems and different panel types. The proposed model has been validated on two big PV plants in the south of Italy with an outstanding

show abstract

Section: Motivationmentioning

confidence: 99%

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle

Tommaso¹,

Betti²,

Fontanelli³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The main conclusions of the study are summarized in Section 5. Some papers in the literature 38,39 show the use of commercial field curve tracers based on a capacitive load. As for the study of degradation for the first days of exposure, this type of measurement system has been used, that is, the PVPM 6020C from the manufacturer Photovoltaik Engineering.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the degradation of amorphous silicon‐based modules after 11 years of exposure by means of IEC60891:2021 procedure 3

Piliougine

Sánchez-Friera

Petrone

et al. 2022

Progress in Photovoltaics

View full text Add to dashboard Cite

The degradation of two amorphous silicon‐based photovoltaic (PV) modules, namely, of single junction amorphous silicon (a‐Si) and of micromorph tandem (a‐Si/ μ‐Si), after 11 years of exposure in the south of Spain is analyzed. Their I‐V curves were measured outdoors to study the changes of the electrical parameters in the course of three different periods: during the initial days of exposure, during the first year, and in the subsequent 10‐year period. The translation of the curves to an identical set of operating conditions, which enables a meaningful comparison, was done by the different correction procedures described in the standard IEC60891:2021, including the procedure 3, which does not require the knowledge of module parameters, whose values are typically not available. The annual power degradation rates over the entire 11‐year period are 1.12% for the a‐Si module, which is 3.02% for the first year, and 0.98% for the a‐Si/ normalμ‐Si, which is 2.29% for the initial year.

show abstract

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

Tommaso¹,

Betti²,

Fontanelli³

et al. 2022

Renewable Energy

View full text Add to dashboard Cite

Thin-film PV modules early degradation analysis: a case study on CIGS

Cited by 4 publications

References 7 publications

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle

Analysis of the degradation of amorphous silicon‐based modules after 11 years of exposure by means of IEC60891:2021 procedure 3

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

Contact Info

Product

Resources

About