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Modeling solar extinction using artificial neural networks. Application to solar tower plants

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  • Ballestrín, J.
  • Carra, E.
  • Alonso-Montesinos, J.
  • López, G.
  • Polo, J.
  • Marzo, A.
  • Fernández-Reche, J.
  • Barbero, J.
  • Batlles, F.J.

Abstract

The extinction of solar radiation is considered an important variable to take into account in the design and operation of commercial concentrated solar power (CSP) tower plants, where the distances between the concentrating heliostats and the receiver on top of the tower are, in many cases, around 1 km. Aerosol particles and water vapor in the path traveled by solar radiation are the main causes of its extinction due to the phenomena of scattering and absorption. Since June 2017, solar extinction has been reliably measured daily at Plataforma Solar de Almería, which has allowed analyzing the dependence of this parameter with other meteorological variables. It has been observed that during high turbidity events there is a clear linear dependence of the solar extinction with the particle concentration and humidity. This work shows that, although this linear character is diluted under normal conditions, artificial neural networks (ANN) allow modeling and predicting extinction as a function of these two magnitudes.

Suggested Citation

  • Ballestrín, J. & Carra, E. & Alonso-Montesinos, J. & López, G. & Polo, J. & Marzo, A. & Fernández-Reche, J. & Barbero, J. & Batlles, F.J., 2020. "Modeling solar extinction using artificial neural networks. Application to solar tower plants," Energy, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:energy:v:199:y:2020:i:c:s0360544220305399
    DOI: 10.1016/j.energy.2020.117432
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    References listed on IDEAS

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    1. Ballestrín, J. & Monterreal, R. & Carra, M.E. & Fernández-Reche, J. & Polo, J. & Enrique, R. & Rodríguez, J. & Casanova, M. & Barbero, F.J. & Alonso-Montesinos, J. & López, G. & Bosch, J.L. & Batlles,, 2018. "Solar extinction measurement system based on digital cameras. Application to solar tower plants," Renewable Energy, Elsevier, vol. 125(C), pages 648-654.
    2. Ballestrín, J. & Carra, E. & Monterreal, R. & Enrique, R. & Polo, J. & Fernández-Reche, J. & Barbero, J. & Marzo, A. & Alonso-Montesinos, J. & López, G. & Batlles, F.J., 2019. "One year of solar extinction measurements at Plataforma Solar de Almería. Application to solar tower plants," Renewable Energy, Elsevier, vol. 136(C), pages 1002-1011.
    3. Bosch, J.L. & López, G. & Batlles, F.J., 2008. "Daily solar irradiation estimation over a mountainous area using artificial neural networks," Renewable Energy, Elsevier, vol. 33(7), pages 1622-1628.
    4. Carra, Elena & Ballestrín, Jesús & Polo, Jesús & Barbero, Javier & Fernández-Reche, Jesús, 2018. "Atmospheric extinction levels of solar radiation at Plataforma Solar de Almería. Application to solar thermal electric plants," Energy, Elsevier, vol. 145(C), pages 400-407.
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    Citations

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    Cited by:

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    3. Salmon, Aloïs & Marzo, Aitor & Polo, Jesús & Ballestrín, Jesús & Carra, Elena & Alonso-Montesinos, Joaquín, 2022. "World map of low-layer atmospheric extinction values for solar power tower plants projects," Renewable Energy, Elsevier, vol. 201(P1), pages 876-888.
    4. Wiesinger, F. & Sutter, F. & Fernández-García, A. & Wette, J. & Hanrieder, N., 2021. "Sandstorm erosion on solar reflectors: A field study on height and orientation dependence," Energy, Elsevier, vol. 217(C).

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