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Advanced Asset Management Tools in Photovoltaic Plant Monitoring: UAV-Based Digital Mapping

Author

Listed:
  • Alessandro Niccolai

    (Dipartimento di Energia, Politecnico di Milano; Via Lambruschini, 4, 20156 Milano, Italy)

  • Francesco Grimaccia

    (Dipartimento di Energia, Politecnico di Milano; Via Lambruschini, 4, 20156 Milano, Italy)

  • Sonia Leva

    (Dipartimento di Energia, Politecnico di Milano; Via Lambruschini, 4, 20156 Milano, Italy)

Abstract

Photovoltaic (PV) plant monitoring and maintenance has become an often critical activity: the high efficiency requirements of the new European policy have often been in contrast with the many low-quality plants installed in several countries over the past few years. In actual industrial practices, heterogeneous information is produced, and they are often managed in a fragmented way. Several software tools have been developed for obtaining reliable and valuable information from the PV plant’s raw data. With the aim of gathering and managing all these data in a more complex and integrated manner, an information managing system is proposed in this work—it is composed of a structured database, called the Photovoltaic Indexed Database, and a user interface, called the Digital Map, that allows for easy access and completion of the information present in the database. This information managment system and PV plant digitalization process is able to analyze and properly index the IR in the database, as well as the visual images obtained in photovoltaic plant monitoring.

Suggested Citation

  • Alessandro Niccolai & Francesco Grimaccia & Sonia Leva, 2019. "Advanced Asset Management Tools in Photovoltaic Plant Monitoring: UAV-Based Digital Mapping," Energies, MDPI, vol. 12(24), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4736-:d:297104
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    References listed on IDEAS

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    1. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Monitoring system for photovoltaic plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1180-1207.
    2. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    3. Siddiqui, Rahnuma & Kumar, Rajesh & Jha, Gopal Kumar & Gowri, Ganesh & Morampudi, Manoj & Rajput, Pragati & Lata, Sneh & Agariya, Swati & Dubey, Bharat & Nanda, Gayatri & Raghava, Sykam Sahan, 2016. "Comparison of different technologies for solar PV (Photovoltaic) outdoor performance using indoor accelerated aging tests for long term reliability," Energy, Elsevier, vol. 107(C), pages 550-561.
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    Cited by:

    1. Sergio Bemposta Rosende & Javier Sánchez-Soriano & Carlos Quiterio Gómez Muñoz & Javier Fernández Andrés, 2020. "Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants," Energies, MDPI, vol. 13(21), pages 1-23, November.
    2. Desmon Simatupang & Ilman Sulaeman & Niek Moonen & Rinaldi Maulana & Safitri Baharuddin & Amalia Suryani & Jelena Popovic & Frank Leferink, 2021. "Remote Microgrids for Energy Access in Indonesia—Part II: PV Microgrids and a Technology Outlook," Energies, MDPI, vol. 14(21), pages 1-18, October.
    3. Mariusz T. Sarniak, 2020. "Researches of the Impact of the Nominal Power Ratio and Environmental Conditions on the Efficiency of the Photovoltaic System: A Case Study for Poland in Central Europe," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    4. Gabriele Roggi & Alessandro Niccolai & Francesco Grimaccia & Marco Lovera, 2020. "A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications," Energies, MDPI, vol. 13(4), pages 1-15, February.

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