2024-03-28T10:59:15Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1352902022-02-07T15:43:01Zcom_10366_135275com_10366_4512com_10366_3823com_10366_4386com_10366_4349com_10366_3946col_10366_135276col_10366_4387
Vega Cruz, Pastora Isabel
2603
500
Revollar Chávez, Silvana Roxani
2173
500
Polo Martín, María José
2094
500
Francisco Sutil, Mario
1036
500
0000-0002-6505-0936
2017-09-21T11:38:37Z
2017-09-21T11:38:37Z
2014
Vega, P. Revollar, S., Martín, J.M., Francisco, M. (2014). Integration of set point optimization techniques into nonlinear MPC for improving the operation of WWTPs. Computers & Chemical Engineering, 68, pp. 78-95.
http://hdl.handle.net/10366/135290
https://doi.org/10.1016/j.compchemeng.2014.03.027
[EN] Optimization and control strategies are necessary to keep wastewater treatment plants (WWTPs) operating in the best possible conditions, maximizing effluent quality with the minimum consumption of energy. In this work, a benchmarking of different hierarchical control structures for WWTPs that combines static and dynamic Real Time Optimization (RTO) and non linear model predictive control (NMPC) is presented. The objective is to evaluate the enhancement of the operation in terms of economics and effluent quality that can be achieved when introducing NMPC technologies in the distinct levels of the multilayer structure. Three multilayer hierarchical structures are evaluated and compared for the N-Removal process considering the short term and long term operation in a rain weather scenario. A reduction in the operation costs of approximately 20% with a satisfactory compromise to Effluent Quality is achieved with the application of these control scheme.
[ES] Las estrategias de optimización y control son necesarias para que las plantas de tratamiento de aguas residuales funcionen en las mejores condiciones posibles, maximizando la calidad de los efluentes con el mínimo consumo de energía. En este trabajo, se presenta un benchmarking de diferentes estructuras de control jerárquico para WWTP que combina Optimización en tiempo real estática y dinámica (RTO) y control predictivo modelo no lineal (NMPC). El objetivo es evaluar la mejora de la operación en términos de economía y calidad del efluente que se puede lograr al introducir las tecnologías NMPC en los distintos niveles de la estructura multicapa. Se evalúan y comparan tres estructuras jerárquicas multicapa para el proceso considerando la operación a corto y largo plazo en un escenario de lluvia. Con la aplicación de este esquema de control se logra una reducción de los costos de operación de aproximadamente el 20% con un compromiso satisfactorio a la calidad del efluente.
application/pdf
eng
Universidad de Salamanca (España)
GIRSCP;5
https://doi.org/10.1016/j.compchemeng.2014.03.027
Attribution-NonCommercial-NoDerivs 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Electrical engineering, electronics and photonics
Nonlinear model predictive control, NMPC
Real time optimization, RTO
Process control
Wastewater treatment plants, WWTPs
Hierarchical control
Optimal operation
Tratamiento aguas residuales
Optimización (procesos)
Control predictivo
Integration of set point optimization techniques into nonlinear MPC for Improving the operation of WWTPs
info:eu-repo/semantics/article
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2022-02-07 16:43:01.647
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