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An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building

Opened Access An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building

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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 ...
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Tamaño: 1.376Mb
Formato: PDF

URI: http://hdl.handle.net/11441/60628

DOI: 10.3390/en10030321

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