Optimización dinámica de plantas de tratamiento de aguas residuales usando control predictivo económico

  1. Silvana Revollar Chávez 1
  2. Pastora Vega Cruz 1
  3. Mario Francisco 1
  4. Rosalba Lamanna 2
  5. Rosa García Vicente 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Universidad Simón Bolívar (Venezuela)
Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Year of publication: 2018

Pages: 756-763

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497497565.0756 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Sustainable development goals

Abstract

In this paper, a single-layer economic model predictive control (EMPC) strategy is presented. The objective of the EMPC is to perform the dynamic optimization of the operation of a wastewater treatment plant (WWTP). A non-linear EMPC algorithm has been implemented. The controller cost function represents the operating costs and the violations of maximum admitted levels of ammonium concentration in the effluent. The proposed strategy takes advantage of the variability of the influent load to find alternative operating points that minimize the cost function. Constraints are imposed on critical variables to ensure the conditions that guarantee the appropriate process performance

Data source: Dialnet