Model predictive control for optimal integration of a thermal chimney and solar shaded building

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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.

Original languageEnglish
Title of host publicationProceedings of the 29th Mediterranean Conference on Control and Automation, MED 2021
PublisherIEEE
Pages21-26
ISBN (Electronic)978-1-6654-2258-1
DOIs
Publication statusPublished - 2021
Event29th Mediterranean Conference on Control and Automation, MED 2021 - Bari, Puglia, Italy
Duration: 22 Jun 202125 Jun 2021

Conference

Conference29th Mediterranean Conference on Control and Automation, MED 2021
Country/TerritoryItaly
CityBari, Puglia
Period22/06/2125/06/21

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