Reference
T. J. Ceha,
L. A. de Araujo Passos, S. Baldi, and B. De
Schutter, "Model predictive control for optimal integration of a thermal
chimney and solar shaded building,"
Proceedings of the 2021
29th Mediterranean Conference on Control and Automation (MED), Bari,
Italy, pp. 21-26, June 2021.
Abstract
Energy-saving devices are extensively sought in several fields, including
heating, ventilation, and air-conditioning (HVAC) tasks in buildings. This
paper investigates six model predictive control (MPC) strategies as a way to
optimize the operation of a solar shaded, natural ventilated building located
at TU Delft campus. Such building is based on an innovative combination of a
thermal chimney and glazing walls for harvesting passive energy. The main
challenge is dealing with the system dynamics. The predictive controllers we
consider include both linear and nonlinear MPC, and four hierarchical MPC
strategies. All controllers aim to minimize auxiliary power consumption and,
consequently, increasing the energy savings. The six control strategies
performance are evaluated using reference values for thermal comfort, while
relying on simulations performed in MATLAB for calculations. The hierarchical
MPC architecture which considers a hybrid structure with nonlinear tracker for
ventilation and linear agents for heating purposes appears the most promising
one.
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BibTeX
@inproceedings{CehdeA:21-009,
author = {Ceha, Thomas Joseph and de Araujo Passos, Luigi Antonio and
Baldi, Simone and De Schutter, Bart},
title = {Model Predictive Control for Optimal Integration of a Thermal
Chimney and Solar Shaded Building},
booktitle = {Proceedings of the 2021 29th Mediterranean Conference on
Control and Automation (MED)},
address = {Bari, Italy},
pages = {21--26},
month = jun,
year = {2021}
}