Modelling and control of an alkaline water electrolysis process

  • Marisol Cervantes-Bobadilla Posgrado del Tecnológico Nacional de México / Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos, México
  • Ricardo Fabricio Escobar Jiménez Tecnológico Nacional de México / Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos, México
  • José Francisco Gómez Aguilar Conacyt-Tecnológico Nacional de México /Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos, México
  • Tomas Emmanuel Higareda Pliego Tecnológico Nacional de México / Instituto Tecnológico de Zacatepec. Calzada Tecnológico No. 27, C.P. 62780, Zacatepec de Hidalgo, Morelos. A.P. 45, Morelos, México
  • Alberto Armando Alvares Gallegos Universidad Autónoma del Estado de Morelos/Centro de Investigación en Ingeniería y Ciencias Aplicadas. Av. Universidad No. 1001, Col Chamilpa, C.P. 62209, Cuernavaca, Morelos, México
Keywords: MPC, system identification, modelling

Abstract

In this research, an alkaline water electrolysis process is modelled. The electrochemical electrolysis is carried out in an electrolyzer composed of 12 series-connected steel cells with a solution 30% wt of potassium hydroxide. The electrolysis process model was developed using a nonlinear identification technique based on the Hammerstein structure. This structure consists of a nonlinear static block and a linear dynamic block. In this work, the nonlinear static function is modelled by a polynomial approximation equation, and the linear dynamic is modelled using the ARX structure. To control the current feed to the electrolyzer an unconstraint predictive controller was implemented, once the unconstrained MPC was simulated, some restrictions are proposed to design a constrained MPC (CMPC). The CMPC aim is to reduce the electrolyzer's energy consumption (power supply current). Simulation results showed the advantages of using the CMPC since the energy (current) overshoots are avoided.

Published
2018-02-28
How to Cite
Cervantes-Bobadilla, M., Jiménez, R., Aguilar, J., Pliego, T., & Gallegos, A. (2018). Modelling and control of an alkaline water electrolysis process. International Journal of Computational Physics Series, 1(2), 9-14. https://doi.org/10.29167/A1I2P9-14
Section
Articles