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Monitoring performance and efficiency of photovoltaic parks

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  • Bizzarri, Federico
  • Brambilla, Angelo
  • Caretta, Lorenzo
  • Guardiani, Carlo

Abstract

An approach allowing the on-target computation of efficiency and yield of large (hundreds of kW), grid-connected photovoltaic (PV) parks is presented. An efficiency metric is used to trigger alarms and to plan maintenance interventions. An accurate simulation model of the system, that is capable of taking into account all relevant environmental variables, has been used to precisely determine the expected baseline performances. Measured and simulated power together with string current data are constantly updated and monitored and then processed by using a novel figure of merit (FOM), to define aggregate efficiency indices both at the overall park level and at single string level. Aggregate indices on strings narrow down the search for sub-performing elements and allow the determination, possibly in one day, of whether the entire PV system or one of its components is not performing as expected. A workflow based on this approach is introduced along with some case studies attesting its effectiveness.

Suggested Citation

  • Bizzarri, Federico & Brambilla, Angelo & Caretta, Lorenzo & Guardiani, Carlo, 2015. "Monitoring performance and efficiency of photovoltaic parks," Renewable Energy, Elsevier, vol. 78(C), pages 314-321.
    • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:314-321
    DOI: 10.1016/j.renene.2015.01.002
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    References listed on IDEAS

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    1. Alonso García, M.C. & Balenzategui, J.L., 2004. "Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations," Renewable Energy, Elsevier, vol. 29(12), pages 1997-2010.
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    Cited by:

    1. Luís G. Monteiro & Wilson N. Macedo & Pedro F. Torres & Márcio M. Silva & Guilherme Amaral & Alexandre S. Piterman & Bruno M. Lopes & Juliano M. Fraga & Wallace C. Boaventura, 2017. "One-Year Monitoring PV Power Plant Installed on Rooftop of Mineirão Fifa World Cup/Olympics Football Stadium," Energies, MDPI, vol. 10(2), pages 1-23, February.
    2. Jun-Hyun Shin & Jin-O Kim, 2020. "On-Line Diagnosis and Fault State Classification Method of Photovoltaic Plant," Energies, MDPI, vol. 13(17), pages 1-12, September.
    3. Miguel De Simón-Martín & Ana-María Diez-Suárez & Laura Álvarez-de Prado & Alberto González-Martínez & Álvaro De la Puente-Gil & Jorge Blanes-Peiró, 2017. "Development of a GIS Tool for High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants," Sustainability, MDPI, vol. 9(6), pages 1-29, June.
    4. Roy, Swapna & Ghosh, Biswajit, 2017. "Land utilization performance of ground mounted photovoltaic power plants: A case study," Renewable Energy, Elsevier, vol. 114(PB), pages 1238-1246.
    5. Gulin, Marko & Pavlović, Tomislav & Vašak, Mario, 2016. "Photovoltaic panel and array static models for power production prediction: Integration of manufacturers’ and on-line data," Renewable Energy, Elsevier, vol. 97(C), pages 399-413.
    6. Santiago, I. & Trillo-Montero, D. & Moreno-Garcia, I.M. & Pallarés-López, V. & Luna-Rodríguez, J.J., 2018. "Modeling of photovoltaic cell temperature losses: A review and a practice case in South Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 70-89.
    7. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).

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