PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules

S. Leva; M. Aghaei; F. Grimaccia

doi:10.1109/EEEIC.2015.7165466

PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules

S. Leva, M. Aghaei, F. Grimaccia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

40 Citations (Scopus)

Abstract

Photovoltaics (PV) is fast becoming a reliable source to meet energy requirement for human needs. In the last decade, solar energy have expanded their application range to power plants, industry, buildings, telecommunication and space. Visual inspection has represented the first step in PV module monitoring, but rapid advances in Unmanned Aerial Systems (UASs) resulted in facilitating such a procedure in large PV plants' inspection. However, there is still lack of specific research on UAS in photovoltaic applications due to their novelty, regulation issues and thus further exploring is required to use their entire potential in PV energy field. The main scope of this paper is to investigate correlation between altitudes of aerial photography and possible defect identification on the modules. For this purpose, a light UAS platform was employed to fly up to 20m of flight height in order to capture aerial images of modules using sensor and GPS onboard. The results of this study indicate that PV module defects identification can be classified based on different flight conditions.

Original language	English
Title of host publication	2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Pages	1921-1926
Number of pages	6
ISBN (Electronic)	9781479979936
DOIs	https://doi.org/10.1109/EEEIC.2015.7165466
Publication status	Published - 22 Jul 2015
Externally published	Yes
Event	15th International Conference on Environment and Electrical Engineering (EEEIC 2015) - Rome, Italy Duration: 10 Jun 2015 → 13 Jun 2015 Conference number: 15

Conference

Conference	15th International Conference on Environment and Electrical Engineering (EEEIC 2015)
Abbreviated title	EEEIC 2015
Country/Territory	Italy
City	Rome
Period	10/06/15 → 13/06/15

Keywords

Aerial image capture
Photography
Photovoltaics
PV module
Solar Energy
UASs (Unmanned Aerial Systems)
Visual inspection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EEEIC.2015.7165466

Cite this

Leva, S., Aghaei, M., & Grimaccia, F. (2015). PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules. In 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings (pp. 1921-1926). [7165466] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EEEIC.2015.7165466

@inproceedings{6142432994744d379790ae443573257a,

title = "PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules",

abstract = "Photovoltaics (PV) is fast becoming a reliable source to meet energy requirement for human needs. In the last decade, solar energy have expanded their application range to power plants, industry, buildings, telecommunication and space. Visual inspection has represented the first step in PV module monitoring, but rapid advances in Unmanned Aerial Systems (UASs) resulted in facilitating such a procedure in large PV plants' inspection. However, there is still lack of specific research on UAS in photovoltaic applications due to their novelty, regulation issues and thus further exploring is required to use their entire potential in PV energy field. The main scope of this paper is to investigate correlation between altitudes of aerial photography and possible defect identification on the modules. For this purpose, a light UAS platform was employed to fly up to 20m of flight height in order to capture aerial images of modules using sensor and GPS onboard. The results of this study indicate that PV module defects identification can be classified based on different flight conditions.",

keywords = "Aerial image capture, Photography, Photovoltaics, PV module, Solar Energy, UASs (Unmanned Aerial Systems), Visual inspection",

author = "S. Leva and M. Aghaei and F. Grimaccia",

year = "2015",

month = jul,

day = "22",

doi = "10.1109/EEEIC.2015.7165466",

language = "English",

pages = "1921--1926",

booktitle = "2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "15th International Conference on Environment and Electrical Engineering (EEEIC 2015), EEEIC 2015 ; Conference date: 10-06-2015 Through 13-06-2015",

}

Leva, S, Aghaei, M & Grimaccia, F 2015, PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules. in 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings., 7165466, Institute of Electrical and Electronics Engineers, pp. 1921-1926, 15th International Conference on Environment and Electrical Engineering (EEEIC 2015), Rome, Italy, 10/06/15. https://doi.org/10.1109/EEEIC.2015.7165466

PV power plant inspection by UAS : Correlation between altitude and detection of defects on PV modules. / Leva, S.; Aghaei, M.; Grimaccia, F.

2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 2015. p. 1921-1926 7165466.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - PV power plant inspection by UAS

T2 - 15th International Conference on Environment and Electrical Engineering (EEEIC 2015)

AU - Leva, S.

AU - Aghaei, M.

AU - Grimaccia, F.

N1 - Conference code: 15

PY - 2015/7/22

Y1 - 2015/7/22

N2 - Photovoltaics (PV) is fast becoming a reliable source to meet energy requirement for human needs. In the last decade, solar energy have expanded their application range to power plants, industry, buildings, telecommunication and space. Visual inspection has represented the first step in PV module monitoring, but rapid advances in Unmanned Aerial Systems (UASs) resulted in facilitating such a procedure in large PV plants' inspection. However, there is still lack of specific research on UAS in photovoltaic applications due to their novelty, regulation issues and thus further exploring is required to use their entire potential in PV energy field. The main scope of this paper is to investigate correlation between altitudes of aerial photography and possible defect identification on the modules. For this purpose, a light UAS platform was employed to fly up to 20m of flight height in order to capture aerial images of modules using sensor and GPS onboard. The results of this study indicate that PV module defects identification can be classified based on different flight conditions.

AB - Photovoltaics (PV) is fast becoming a reliable source to meet energy requirement for human needs. In the last decade, solar energy have expanded their application range to power plants, industry, buildings, telecommunication and space. Visual inspection has represented the first step in PV module monitoring, but rapid advances in Unmanned Aerial Systems (UASs) resulted in facilitating such a procedure in large PV plants' inspection. However, there is still lack of specific research on UAS in photovoltaic applications due to their novelty, regulation issues and thus further exploring is required to use their entire potential in PV energy field. The main scope of this paper is to investigate correlation between altitudes of aerial photography and possible defect identification on the modules. For this purpose, a light UAS platform was employed to fly up to 20m of flight height in order to capture aerial images of modules using sensor and GPS onboard. The results of this study indicate that PV module defects identification can be classified based on different flight conditions.

KW - Aerial image capture

KW - Photography

KW - Photovoltaics

KW - PV module

KW - Solar Energy

KW - UASs (Unmanned Aerial Systems)

KW - Visual inspection

UR - http://www.scopus.com/inward/record.url?scp=84943138544&partnerID=8YFLogxK

U2 - 10.1109/EEEIC.2015.7165466

DO - 10.1109/EEEIC.2015.7165466

M3 - Conference contribution

AN - SCOPUS:84943138544

SP - 1921

EP - 1926

BT - 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers

Y2 - 10 June 2015 through 13 June 2015

ER -

PV power plant inspection by UAS: Correlation between altitude and detection of defects on PV modules

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this