IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v93y2018icp566-579.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032118303708
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2018.05.027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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).
    5. 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.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akkurt, G.G. & Aste, N. & Borderon, J. & Buda, A. & Calzolari, M. & Chung, D. & Costanzo, V. & Del Pero, C. & Evola, G. & Huerto-Cardenas, H.E. & Leonforte, F. & Lo Faro, A. & Lucchi, E. & Marletta, L, 2020. "Dynamic thermal and hygrometric simulation of historical buildings: Critical factors and possible solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    2. 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.
    3. Chiwu Bu & Tao Liu & Tao Wang & Hai Zhang & Stefano Sfarra, 2023. "A CNN-Architecture-Based Photovoltaic Cell Fault Classification Method Using Thermographic Images," Energies, MDPI, vol. 16(9), pages 1-13, April.
    4. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    5. Hanan S.S. Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of Heritage Residential Building Stock and Defining Sustainable Retrofitting Scenarios in Khedivial Cairo," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
    6. Belén Onecha & Alicia Dotor, 2021. "Simulation Method to Assess Thermal Comfort in Historical Buildings with High-Volume Interior Spaces—The Case of the Gothic Basilica of Sta. Maria del Mar in Barcelona," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    7. 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).
    8. Sara Brito-Coimbra & Daniel Aelenei & Maria Gloria Gomes & Antonio Moret Rodrigues, 2021. "Building Façade Retrofit with Solar Passive Technologies: A Literature Review," Energies, MDPI, vol. 14(6), pages 1-18, March.
    9. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    10. Alessia Buda & Ernst Jan de Place Hansen & Alexander Rieser & Emanuela Giancola & Valeria Natalina Pracchi & Sara Mauri & Valentina Marincioni & Virginia Gori & Kalliopi Fouseki & Cristina S. Polo Lóp, 2021. "Conservation-Compatible Retrofit Solutions in Historic Buildings: An Integrated Approach," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    11. Valentina Marincioni & Virginia Gori & Ernst Jan de Place Hansen & Daniel Herrera-Avellanosa & Sara Mauri & Emanuela Giancola & Aitziber Egusquiza & Alessia Buda & Eleonora Leonardi & Alexander Rieser, 2021. "How Can Scientific Literature Support Decision-Making in the Renovation of Historic Buildings? An Evidence-Based Approach for Improving the Performance of Walls," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    12. Suyong Kim & Sili Deng, 2024. "Learning reaction-transport coupling from thermal waves," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    13. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    14. Gertsvolf, David & Horvat, Miljana & Aslam, Danesh & Khademi, April & Berardi, Umberto, 2024. "A U-net convolutional neural network deep learning model application for identification of energy loss in infrared thermographic images," Applied Energy, Elsevier, vol. 360(C).
    15. Peter King & Christopher Sansom & Paul Comley, 2019. "Photogrammetry for Concentrating Solar Collector Form Measurement, Validated Using a Coordinate Measuring Machine," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    16. Salamanca, Santiago & Merchán, Pilar & Adán, Antonio & Pérez, Emiliano, 2019. "An appraisal of the geometry and energy efficiency of parabolic trough collectors with laser scanners and image processing," Renewable Energy, Elsevier, vol. 134(C), pages 64-77.
    17. Hong, Ying-Yi & Pula, Rolando A., 2022. "Detection and classification of faults in photovoltaic arrays using a 3D convolutional neural network," Energy, Elsevier, vol. 246(C).
    18. Li, B. & Delpha, C. & Diallo, D. & Migan-Dubois, A., 2021. "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Wojciech Cieslik & Filip Szwajca & Sławomir Rosolski & Michał Rutkowski & Katarzyna Pietrzak & Jakub Wójtowicz, 2022. "Historical Buildings Potential to Power Urban Electromobility: State-of-the-Art and Future Challenges for Nearly Zero Energy Buildings (nZEB) Microgrids," Energies, MDPI, vol. 15(17), pages 1-23, August.
    20. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:93:y:2018:i:c:p:566-579. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.