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Low-Cost Solar Irradiance Sensing for PV Systems

Author

Listed:
  • Miguel Carrasco

    (Department of Electrical Engineering, University of Colorado Denver, Denver, CO 80217, USA)

  • Antonino Laudani

    (Department of Engineering, Università degli Studi Roma Tre, 00149 Roma, Italy)

  • Gabriele Maria Lozito

    (Department of Engineering, Università degli Studi Roma Tre, 00149 Roma, Italy)

  • Fernando Mancilla-David

    (Department of Electrical Engineering, University of Colorado Denver, Denver, CO 80217, USA)

  • Francesco Riganti Fulginei

    (Department of Engineering, Università degli Studi Roma Tre, 00149 Roma, Italy)

  • Alessandro Salvini

    (Department of Engineering, Università degli Studi Roma Tre, 00149 Roma, Italy)

Abstract

Determination of solar irradiance is a critical asset to ensure efficient working conditions for a photovoltaic (PV) system. This work analyze the feasibility of assessing solar irradiance on a PV device assuming the knowledge of the device temperature and the voltage/current operating point. This work proposes an approach based on a manipulation of the analytic expressions found in the reduced form of the “single diode” circuit model for a silicon PV device. The approach was validated through different practical experiments, and the results obtained are comparable to the ones of a commercial instrument for irradiance sensing. The ease of construction and the reduced costs involved make a device based on the proposed approach suitable for large-scale integration in a PV plant.

Suggested Citation

  • Miguel Carrasco & Antonino Laudani & Gabriele Maria Lozito & Fernando Mancilla-David & Francesco Riganti Fulginei & Alessandro Salvini, 2017. "Low-Cost Solar Irradiance Sensing for PV Systems," Energies, MDPI, vol. 10(7), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:998-:d:104747
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    Citations

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    Cited by:

    1. José María Portalo & Isaías González & Antonio José Calderón, 2021. "Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    2. Jirada Gosumbonggot & Goro Fujita, 2019. "Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature," Energies, MDPI, vol. 12(2), pages 1-22, January.

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