Reducing energy consumption in an industrial process by using model predictive control

Luis Caiza, Albert Rosich-Oliva, Carlos Ocampo-Martinez, Diego S. Benitez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

In this paper, we propose to use Model Predictive Control techniques to reduce the energy consumption in an industrial process by incorporating energy consumption restrictions in the problem formulation. We propose to use a Model Predictive Control supervisor to calculate the optimum references for simple control loops regulated by individual PID controllers. The results obtained are compared against those obtained when a traditional control strategy exclusively based on PID controllers was used. By using this supervisory control strategy a reduction on energy consumption of about 10% was achieved.

Idioma originalInglés
Título de la publicación alojada2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538608197
DOI
EstadoPublicada - 1 jul. 2017
Evento2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 - Ixtapa, Guerrero, México
Duración: 8 nov. 201710 nov. 2017

Serie de la publicación

Nombre2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
Volumen2018-January

Conferencia

Conferencia2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
País/TerritorioMéxico
CiudadIxtapa, Guerrero
Período8/11/1710/11/17

Huella

Profundice en los temas de investigación de 'Reducing energy consumption in an industrial process by using model predictive control'. En conjunto forman una huella única.

Citar esto