University of Exeter-ko ikertzaileekin lankidetzan egindako argitalpenak (14)

2018

  1. A >3000 suns high concentrator photovoltaic design based on multiple Fresnel lens primaries focusing to one central solar cell

    Solar Energy, Vol. 169, pp. 457-467

  2. Development, indoor characterisation and comparison to optical modelling of four Fresnel-based high-CPV units equipped with refractive secondary optics

    Solar Energy Materials and Solar Cells, Vol. 186, pp. 273-283

  3. Impact of the Subcell Spectral Response of III-V Compound Semiconductors on the Optical Performance of High-CPV Systems

    Proceedings of the 2018 12th Spanish Conference on Electron Devices, CDE 2018

  4. Indoor characterization and comparison with optical modelling of four Fresnel-based High-CPV units equipped with secondary optics

    AIP Conference Proceedings

2017

  1. Design and characterization of refractive secondary optical elements for a point-focus Fresnel lens-based high CPV system

    AIP Conference Proceedings

  2. Optical modeling of four Fresnel-based high-CPV units

    Solar Energy, Vol. 155, pp. 805-815

2015

  1. A methodology for the electrical characterization of shaded high concentrator photovoltaic modules

    Energy, Vol. 89, pp. 768-777

  2. Analytical modelling of high concentrator photovoltaic modules based on atmospheric parameters

    International Journal of Photoenergy, Vol. 2015

  3. High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature

    Energy, Vol. 84, pp. 336-343

  4. Levelised cost of electricity in high concentrated photovoltaic grid connected systems: Spatial analysis of Spain

    Applied Energy, Vol. 151, pp. 49-59

  5. Performance Analysis of Models for Calculating the Maximum Power of High Concentrator Photovoltaic Modules

    IEEE Journal of Photovoltaics, Vol. 5, Núm. 3, pp. 947-955

  6. Thin photovoltaic modules at ultra high concentration

    AIP Conference Proceedings

2014

  1. A model based on artificial neuronal network for the prediction of the maximum power of a low concentration photovoltaic module for building integration

    Solar Energy, Vol. 100, pp. 148-158

  2. Performance analysis of the lineal model for estimating the maximum power of a HCPV module in different climate conditions

    AIP Conference Proceedings