Autor: |
Alamin, Yaser Imad
Castilla Nieto, María del Mar Álvarez Hervás, José Domingo Ruano, Antonio |
Departamento: | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha: | 2017-03-07 |
Tipo de documento: | Artículo |
Resumen: |
The goal of maintaining users’ thermal comfort conditions in indoor environments may
require complex regulation procedures and a proper energy management. This problem is being
widely analyzed, since it has a direct effect on users’ productivity. This paper presents an economic
model-based predictive control (MPC) whose main strength is the use of the day-ahead price (DAP) in
order to predict the energy consumption associated with the heating, ventilation and air conditioning
(HVAC). In this way, the control system is able to maintain a high thermal comfort level by optimizing
the use of the HVAC system and to reduce, at the same time, the energy consumption associated
with it, as much as possible. Later, the performance of the proposed control system is tested through
simulations with a non-linear model of a bioclimatic building room. Several simulation scenarios
are considered as a test-bed. From the obtained results, it is possible to conclude that the control
system has ... [Ver más] |
URI: http://hdl.handle.net/11441/60628
DOI: 10.3390/en10030321
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