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Prognostic Methods for Photovoltaic Systems’ Underperformance and Degradation: Status, Perspectives, and Challenges

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  • Gianfranco Di Lorenzo

    (Department of Astronautical, Electrical and Energy Engineering Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Erika Stracqualursi

    (Department of Astronautical, Electrical and Energy Engineering Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Leonardo Micheli

    (Department of Astronautical, Electrical and Energy Engineering Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Salvatore Celozzi

    (Department of Astronautical, Electrical and Energy Engineering Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Rodolfo Araneo

    (Department of Astronautical, Electrical and Energy Engineering Sapienza, University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

Abstract

The ongoing energy crisis and the rising prices of fossil fuels have accelerated the need for a renewable energy transition [...]

Suggested Citation

  • Gianfranco Di Lorenzo & Erika Stracqualursi & Leonardo Micheli & Salvatore Celozzi & Rodolfo Araneo, 2022. "Prognostic Methods for Photovoltaic Systems’ Underperformance and Degradation: Status, Perspectives, and Challenges," Energies, MDPI, vol. 15(17), pages 1-6, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6413-:d:904772
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    References listed on IDEAS

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    2. Sascha Lindig & Atse Louwen & David Moser & Marko Topic, 2020. "Outdoor PV System Monitoring—Input Data Quality, Data Imputation and Filtering Approaches," Energies, MDPI, vol. 13(19), pages 1-18, September.
    3. Fabiana Lisco & Farwah Bukhari & Soňa Uličná & Kenan Isbilir & Kurt L. Barth & Alan Taylor & John M. Walls, 2020. "Degradation of Hydrophobic, Anti-Soiling Coatings for Solar Module Cover Glass," Energies, MDPI, vol. 13(15), pages 1-15, July.
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    6. Lisa B. Bosman & Walter D. Leon-Salas & William Hutzel & Esteban A. Soto, 2020. "PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities," Energies, MDPI, vol. 13(6), pages 1-16, March.
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    9. Michael W. Hopwood & Lekha Patel & Thushara Gunda, 2022. "Classification of Photovoltaic Failures with Hidden Markov Modeling, an Unsupervised Statistical Approach," Energies, MDPI, vol. 15(14), pages 1-12, July.
    10. Julián Ascencio-Vásquez & Ismail Kaaya & Kristijan Brecl & Karl-Anders Weiss & Marko Topič, 2019. "Global Climate Data Processing and Mapping of Degradation Mechanisms and Degradation Rates of PV Modules," Energies, MDPI, vol. 12(24), pages 1-16, December.
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    13. Roberto Pierdicca & Marina Paolanti & Andrea Felicetti & Fabio Piccinini & Primo Zingaretti, 2020. "Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images," Energies, MDPI, vol. 13(24), pages 1-17, December.
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    15. Hamid Iftikhar & Eduardo Sarquis & P. J. Costa Branco, 2021. "Why Can Simple Operation and Maintenance (O&M) Practices in Large-Scale Grid-Connected PV Power Plants Play a Key Role in Improving Its Energy Output?," Energies, MDPI, vol. 14(13), pages 1-29, June.
    16. Dong Ho Lee & Jong Hwa Park, 2019. "Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles," Energies, MDPI, vol. 12(15), pages 1-14, July.
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    18. Jaeun Kim & Matheus Rabelo & Siva Parvathi Padi & Hasnain Yousuf & Eun-Chel Cho & Junsin Yi, 2021. "A Review of the Degradation of Photovoltaic Modules for Life Expectancy," Energies, MDPI, vol. 14(14), pages 1-21, July.
    19. 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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