A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
Accurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment risk and increasing the bankability of the PV technology. The application of fault diagnostic solutions and troubleshooting on operating PV power plants is vital for ensuring optimal energy harvesting, increased...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024000148 |
| _version_ | 1827367188791558144 |
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| author | Anna Michail Andreas Livera Georgios Tziolis Juan Luis Carús Candás Alberto Fernandez Elena Antuña Yudego Diego Fernández Martínez Angelos Antonopoulos Achilleas Tripolitsiotis Panagiotis Partsinevelos Eftichis Koutroulis George E. Georghiou |
| author_facet | Anna Michail Andreas Livera Georgios Tziolis Juan Luis Carús Candás Alberto Fernandez Elena Antuña Yudego Diego Fernández Martínez Angelos Antonopoulos Achilleas Tripolitsiotis Panagiotis Partsinevelos Eftichis Koutroulis George E. Georghiou |
| author_sort | Anna Michail |
| collection | DOAJ |
| description | Accurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment risk and increasing the bankability of the PV technology. The application of fault diagnostic solutions and troubleshooting on operating PV power plants is vital for ensuring optimal energy harvesting, increased power generation production and optimised field operation and maintenance (O&M) activities. This study aims to give an overview of the existing approaches for PV plant diagnosis, focusing on unmanned aerial vehicle (UAV)-based approaches, that can support PV plant diagnostics using imaging techniques and data-driven analytics. This review paper initially outlines the different degradation mechanisms, failure modes and patterns that PV systems are subjected and then reports the main diagnostic techniques. Furthermore, the essential equipment and sensor's requirements for diagnosing failures in monitored PV systems using UAV-based approaches are provided. Moreover, the study summarizes the operating conditions and the various failure types that can be detected by such diagnostic approaches. Finally, it provides recommendations and insights on how to develop a fully functional UAV-based diagnostic tool, capable of detecting and classifying accurately failure modes in PV systems, while also locating the exact position of faulty modules. |
| first_indexed | 2024-03-08T09:01:59Z |
| format | Article |
| id | doaj.art-e030f96bcac546d39e8cfe87e5df6e29 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T09:01:59Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-e030f96bcac546d39e8cfe87e5df6e292024-02-01T06:34:21ZengElsevierHeliyon2405-84402024-01-01101e23983A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosisAnna Michail0Andreas Livera1Georgios Tziolis2Juan Luis Carús Candás3Alberto Fernandez4Elena Antuña Yudego5Diego Fernández Martínez6Angelos Antonopoulos7Achilleas Tripolitsiotis8Panagiotis Partsinevelos9Eftichis Koutroulis10George E. Georghiou11PV Technology Laboratory, FOSS Research Centre for Sustainable Energy, University of Cyprus, Nicosia, Cyprus; Corresponding author.PV Technology Laboratory, FOSS Research Centre for Sustainable Energy, University of Cyprus, Nicosia, CyprusPV Technology Laboratory, FOSS Research Centre for Sustainable Energy, University of Cyprus, Nicosia, CyprusTSK Electrónica y Electricidad S.A., Gijón, SpainTSK Electrónica y Electricidad S.A., Gijón, SpainTSK Electrónica y Electricidad S.A., Gijón, SpainTSK Electrónica y Electricidad S.A., Gijón, SpainTechnical University of Crete, Chania, Crete, GreeceTechnical University of Crete, Chania, Crete, GreeceTechnical University of Crete, Chania, Crete, GreeceTechnical University of Crete, Chania, Crete, GreecePV Technology Laboratory, FOSS Research Centre for Sustainable Energy, University of Cyprus, Nicosia, CyprusAccurate photovoltaic (PV) diagnosis is of paramount importance for reducing investment risk and increasing the bankability of the PV technology. The application of fault diagnostic solutions and troubleshooting on operating PV power plants is vital for ensuring optimal energy harvesting, increased power generation production and optimised field operation and maintenance (O&M) activities. This study aims to give an overview of the existing approaches for PV plant diagnosis, focusing on unmanned aerial vehicle (UAV)-based approaches, that can support PV plant diagnostics using imaging techniques and data-driven analytics. This review paper initially outlines the different degradation mechanisms, failure modes and patterns that PV systems are subjected and then reports the main diagnostic techniques. Furthermore, the essential equipment and sensor's requirements for diagnosing failures in monitored PV systems using UAV-based approaches are provided. Moreover, the study summarizes the operating conditions and the various failure types that can be detected by such diagnostic approaches. Finally, it provides recommendations and insights on how to develop a fully functional UAV-based diagnostic tool, capable of detecting and classifying accurately failure modes in PV systems, while also locating the exact position of faulty modules.http://www.sciencedirect.com/science/article/pii/S2405844024000148Fault diagnosisImage analysisPhotovoltaic systemsUnmanned aerial vehicles |
| spellingShingle | Anna Michail Andreas Livera Georgios Tziolis Juan Luis Carús Candás Alberto Fernandez Elena Antuña Yudego Diego Fernández Martínez Angelos Antonopoulos Achilleas Tripolitsiotis Panagiotis Partsinevelos Eftichis Koutroulis George E. Georghiou A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis Heliyon Fault diagnosis Image analysis Photovoltaic systems Unmanned aerial vehicles |
| title | A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis |
| title_full | A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis |
| title_fullStr | A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis |
| title_full_unstemmed | A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis |
| title_short | A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis |
| title_sort | comprehensive review of unmanned aerial vehicle based approaches to support photovoltaic plant diagnosis |
| topic | Fault diagnosis Image analysis Photovoltaic systems Unmanned aerial vehicles |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024000148 |
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