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Cloud-Based Platform for Photovoltaic Assets Diagnosis and Maintenance

Author

Listed:
  • Andreas Livera

    (PV Technology Laboratory, FOSS Research Centre for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus)

  • Georgios Tziolis

    (PV Technology Laboratory, FOSS Research Centre for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus)

  • Jose G. Franquelo

    (Isotrol SA, Isaac Newton 3, 41092 Seville, Spain)

  • Ruben Gonzalez Bernal

    (Isotrol SA, Isaac Newton 3, 41092 Seville, Spain)

  • George E. Georghiou

    (PV Technology Laboratory, FOSS Research Centre for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus)

Abstract

A cloud-based platform for reducing photovoltaic (PV) operation and maintenance (O&M) costs and improving lifetime performance is proposed in this paper. The platform incorporates a decision support system (DSS) engine and data-driven functionalities for data cleansing, PV system modeling, early fault diagnosis and provision of O&M recommendations. It can ensure optimum performance by monitoring in real time the operating state of PV assets, detecting faults at early stages and suggesting field mitigation actions based on energy loss analysis and incidents criticality evaluation. The developed platform was benchmarked using historical data from a test PV power plant installed in the Mediterranean region. The obtained results showed the effectiveness of the incorporated functionalities for data cleansing and system modeling as well as the platform’s capability for automated PV asset diagnosis and maintenance by providing recommendations for resolving the detected underperformance issues. Based on the DSS recommendations, approximately 7% of lost energy production could be recovered by performing field mitigation activities (e.g., corrective actions).

Suggested Citation

  • Andreas Livera & Georgios Tziolis & Jose G. Franquelo & Ruben Gonzalez Bernal & George E. Georghiou, 2022. "Cloud-Based Platform for Photovoltaic Assets Diagnosis and Maintenance," Energies, MDPI, vol. 15(20), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7760-:d:948230
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    References listed on IDEAS

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    1. Mansouri, Majdi & Hajji, Mansour & Trabelsi, Mohamed & Harkat, Mohamed Faouzi & Al-khazraji, Ayman & Livera, Andreas & Nounou, Hazem & Nounou, Mohamed, 2018. "An effective statistical fault detection technique for grid connected photovoltaic systems based on an improved generalized likelihood ratio test," Energy, Elsevier, vol. 159(C), pages 842-856.
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