Evaluación de restricciones de confort en controlador predictivo para la eficiencia energética

  1. Marchante, G. 1
  2. Acosta, A. 1
  3. González, A.I. 1
  4. Zamarreño, J.M. 2
  5. Álvarez, V. 3
  1. 1 Universidad Tecnológica de La Habana José Antonio Echeverría
    info

    Universidad Tecnológica de La Habana José Antonio Echeverría

    La Habana, Cuba

  2. 2 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  3. 3 Hotel Meliá Habana
Revista:
Revista iberoamericana de automática e informática industrial ( RIAI )

ISSN: 1697-7920

Año de publicación: 2021

Volumen: 18

Número: 2

Páginas: 150-163

Tipo: Artículo

DOI: 10.4995/RIAI.2020.13937 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista iberoamericana de automática e informática industrial ( RIAI )

Objetivos de desarrollo sostenible

Resumen

This work reflects the results obtained, through simulation, from the study of the comfort constraints of a Model Predictive Controller (MPC), for the energy management of the centralized air conditioning system of a hotel installation. In order to achieve economic efficiency, the proposed controller is based on a prediction model of the behaviour of the energy consumption of the rooms from the hotel historical records. To satisfy the thermal comfort required by the occupants, a more complete comfort zone model is considered than the one used by (Acosta et al., 2016), in one of the constraints of the optimization problem. This allowed greater energy savings, this being the main contribution of this research. The simulations of the presented scenarios were performed with MATLAB®.

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