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Low-Cost I–V Tracer for PV Modules under Real Operating Conditions

Author

Listed:
  • Manuel Cáceres

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Andrés Firman

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Jesús Montes-Romero

    (IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain)

  • Alexis Raúl González Mayans

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Luis Horacio Vera

    (Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina)

  • Eduardo F. Fernández

    (IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain)

  • Juan de la Casa Higueras

    (IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain)

Abstract

Solar photovoltaic technologies have undergone significant scientific development. To ensure the transfer of knowledge through the training of qualified personnel, didactic tools that can be acquired or built at a reasonable price are needed. Most training and research centres have restrictions on acquiring specific equipment due to its high cost. With this in mind, this article presents the development and transfer of a low-cost I–V curve tracer acquisition system. The device is made up of embedded systems with all the necessary hardware and software for its operation. The hardware and software presented are open source and have a low cost, i.e., the estimated material cost of the system is less than 200 euros. For its development, four institutions from three different countries participated in the project. Three photovoltaic technologies were used to measure the uncertainties related to the equipment developed. In addition, the system can be transferred for use as an academic or research tool, as long as the measurement does not need to be certified. Two accredited laboratories have certified the low uncertainties in the measurement of the proposed system.

Suggested Citation

  • Manuel Cáceres & Andrés Firman & Jesús Montes-Romero & Alexis Raúl González Mayans & Luis Horacio Vera & Eduardo F. Fernández & Juan de la Casa Higueras, 2020. "Low-Cost I–V Tracer for PV Modules under Real Operating Conditions," Energies, MDPI, vol. 13(17), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4320-:d:401692
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    References listed on IDEAS

    as
    1. Almonacid, Florencia & Rodrigo, Pedro & Fernández, Eduardo F., 2016. "Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques," Energy, Elsevier, vol. 101(C), pages 146-160.
    2. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.
    3. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    4. Muñoz, J.V. & Nofuentes, G. & Fuentes, M. & de la Casa, J. & Aguilera, J., 2016. "DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model," Energy, Elsevier, vol. 114(C), pages 951-960.
    5. Jesús Montes-Romero & Michel Piliougine & José Vicente Muñoz & Eduardo F. Fernández & Juan De la Casa, 2017. "Photovoltaic Device Performance Evaluation Using an Open-Hardware System and Standard Calibrated Laboratory Instruments," Energies, MDPI, vol. 10(11), pages 1-19, November.
    6. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems," Energy Policy, Elsevier, vol. 35(5), pages 2852-2861, May.
    7. Almonacid, F. & Fernández, E.F. & Mallick, T.K. & Pérez-Higueras, P.J., 2015. "High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature," Energy, Elsevier, vol. 84(C), pages 336-343.
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    Cited by:

    1. Fernández-Solas, Álvaro & Montes-Romero, Jesús & Micheli, Leonardo & Almonacid, Florencia & Fernández, Eduardo F., 2022. "Estimation of soiling losses in photovoltaic modules of different technologies through analytical methods," Energy, Elsevier, vol. 244(PB).

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