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Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants

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  • Gallardo-Saavedra, Sara
  • Hernández-Callejo, Luis
  • Duque-Perez, Oscar

Abstract

Photogrammetric studies performed with Unmanned Aerial Vehicles (UAV) have recently become more popular as they present an interesting low-cost alternative. A novel application of thermography with UAVs has been validated during the last years: aerial thermography for inspection of photovoltaic plants as a useful diagnostic technique to assess performance of photovoltaic modules, superseding time-consuming traditional manual methods. This paper describes the current state of thermographic cameras and UAV technology, with the aim of examining the general principles of aerial thermographic measurement and required instrumentation, detailing the most important system aspects, discussing new developments and future trends in aerial thermography sensors and instrumentation, and evaluating them for specific application of aerial thermographic inspection of photovoltaic plants.

Suggested Citation

  • Gallardo-Saavedra, Sara & Hernández-Callejo, Luis & Duque-Perez, Oscar, 2018. "Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 566-579.
    • Handle: RePEc:eee:rensus:v:93:y:2018:i:c:p:566-579
    DOI: 10.1016/j.rser.2018.05.027
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    References listed on IDEAS

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    1. Fox, Matthew & Coley, David & Goodhew, Steve & de Wilde, Pieter, 2014. "Thermography methodologies for detecting energy related building defects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 296-310.
    2. Tsanakas, John A. & Ha, Long & Buerhop, Claudia, 2016. "Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 695-709.
    3. Abad, B. & Borca-Tasciuc, D.-A. & Martin-Gonzalez, M.S., 2017. "Non-contact methods for thermal properties measurement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1348-1370.
    4. Martínez-Molina, Antonio & Tort-Ausina, Isabel & Cho, Soolyeon & Vivancos, José-Luis, 2016. "Energy efficiency and thermal comfort in historic buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 70-85.
    5. Arancibia-Bulnes, Camilo A. & Peña-Cruz, Manuel I. & Mutuberría, Amaia & Díaz-Uribe, Rufino & Sánchez-González, Marcelino, 2017. "A survey of methods for the evaluation of reflective solar concentrator optics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 673-684.
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    Cited by:

    1. Segovia Ramírez, Isaac & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2022. "A novel approach to optimize the positioning and measurement parameters in photovoltaic aerial inspections," Renewable Energy, Elsevier, vol. 187(C), pages 371-389.
    2. Cardoso, Andressa & Jurado-Rodríguez, David & López, Alfonso & Ramos, M. Isabel & Jurado, Juan Manuel, 2024. "Automated detection and tracking of photovoltaic modules from 3D remote sensing data," Applied Energy, Elsevier, vol. 367(C).
    3. Vytautas Bocullo & Linas Martišauskas & Darius Pupeikis & Ramūnas Gatautis & Rytis Venčaitis & Rimantas Bakas, 2023. "UAV Photogrammetry Application for Determining the Influence of Shading on Solar Photovoltaic Array Energy Efficiency," Energies, MDPI, vol. 16(3), pages 1-19, January.
    4. Gallardo-Saavedra, Sara & Hernández-Callejo, Luis & Duque-Pérez, Oscar, 2019. "Quantitative failure rates and modes analysis in photovoltaic plants," Energy, Elsevier, vol. 183(C), pages 825-836.
    5. Hassan Z. Al Garni, 2022. "The Impact of Soiling on PV Module Performance in Saudi Arabia," Energies, MDPI, vol. 15(21), pages 1-25, October.
    6. Shariq, M. Hasan & Hughes, Ben Richard, 2020. "Revolutionising building inspection techniques to meet large-scale energy demands: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).

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