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Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain

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  • Isabel Santiago

    (Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain)

  • David Trillo Montero

    (Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain)

  • Juan J. Luna Rodríguez

    (Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain)

  • Isabel M. Moreno Garcia

    (Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain)

  • Emilio J. Palacios Garcia

    (Departamento de Arquitectura de Computadores, Electrónica y Tecnología Electrónica, EscuelaPolitécnica Superior, Universidad de Córdoba, Campus de Rabanales, Edificio Leonardo da Vinci, E-14071 Córdoba, Spain)

Abstract

The starting point of the operation and maintenance tasks in photovoltaic plants is the continuous monitoring and supervision of its components. The great amount of registered data requires a major improvement in the ways this information is processed and analyzed to rapidly detect any potential fault, without incurring additional costs. In this paper, a procedure to perform a detailed graphical supported analysis of the operation of photovoltaic installations, based on inverter data, and using a self-developed application, is presented. The program carries out the automated processing of the registered data, providing their access and visualization by means of color maps. These graphs allow a large volume of data set to be simultaneously represented in a readable way, enabling operation and maintenance operators to quickly detect patterns that would require any type of intervention. As a case study, the operation of a grid-connected photovoltaic plant located in southern Spain was studied during a period of three years. The average daily efficiency values of the PV modules and inverters were in the range of 7.6–14.6%, and 73.5–94% respectively. Moreover, the presence of shadings, as well as the hours and days mainly affected by this issue, was easily detected.

Suggested Citation

  • Isabel Santiago & David Trillo Montero & Juan J. Luna Rodríguez & Isabel M. Moreno Garcia & Emilio J. Palacios Garcia, 2017. "Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain," Energies, MDPI, vol. 10(12), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1964-:d:120390
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    References listed on IDEAS

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    Cited by:

    1. Carlos Toledo & Lucía Serrano-Lujan & Jose Abad & Antonio Lampitelli & Antonio Urbina, 2019. "Measurement of Thermal and Electrical Parameters in Photovoltaic Systems for Predictive and Cross-Correlated Monitorization," Energies, MDPI, vol. 12(4), pages 1-20, February.
    2. Wilfried van Sark, 2019. "Photovoltaic System Design and Performance," Energies, MDPI, vol. 12(10), pages 1-6, May.
    3. Bala Bhavya Kausika & Panagiotis Moraitis & Wilfried G. J. H. M. Van Sark, 2018. "Visualization of Operational Performance of Grid-Connected PV Systems in Selected European Countries," Energies, MDPI, vol. 11(6), pages 1-10, May.
    4. Santiago, I. & Moreno-Munoz, A. & Quintero-Jiménez, P. & Garcia-Torres, F. & Gonzalez-Redondo, M.J., 2021. "Electricity demand during pandemic times: The case of the COVID-19 in Spain," Energy Policy, Elsevier, vol. 148(PA).
    5. Carmen B. Rosa & Graciele Rediske & Paula D. Rigo & João Francisco M. Wendt & Leandro Michels & Julio Cezar M. Siluk, 2018. "Development of a Computational Tool for Measuring Organizational Competitiveness in the Photovoltaic Power Plants," Energies, MDPI, vol. 11(4), pages 1-13, April.

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