Modelos empíricos del campo solar en plantas termosolares de concentraciónAplicación a la planificación

  1. E.G. Cojocaru 1
  2. J.M. Bravo 1
  3. M.J. Vasallo 1
  4. M.E. Gegúndez 1
  1. 1 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Book:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Year of publication: 2019

Pages: 466-474

Congress: Jornadas de Automática (40. 2019. Ferrol)

Type: Conference paper

Abstract

An important block of a concentrated solar thermal plant is the solar field. In this block, the solar energy is concentrated as thermal energy in a fluid. An estimation of the available thermal power based on the available solar resource is a useful information in several applications. This estimation can be obtained using a solar field model based on first-principles. However, to build a model of this kind, can be complex and requires a human expert with in depth knowledge of the solar filed to be modeled. This work proposes an alternative, to use empirical models of the solar field. In this case, the model is obtained using a set of measurements from the solar field. Two kind of empirical models are proposed: parametric and data-driven models. In order to study the applicability of the proposed models, the optimal self-scheduling generation problem in a concentrated solar thermal plant is considered. Several scheduling strategies with different solar field models are compared in a simulation context. The simulations show that the strategies with empirical models of the solar field provides competitive results and then, can be considered as an alternative to the strategies based on first-principles models. The empirical models simplify the development of a generation scheduler.