Indoor Air Quality control represents a crucial aspect in Home & Building Automation together with thermal comfort, lighting comfort and energy saving. The present paper proposes different MPC tuning strategies for Indoor Air Quality control in an office through natural ventilation, focusing on the impact of the prediction horizon. A reliable and flexible simulation framework is designed in order to straightly test and simulate the developed control strategies. Nonlinear Model Predictive Control is designed as control strategy. Carbon dioxide is selected as controlled variable that is characterized by an upper constraint. The manipulated variable is represented by the opening width of the office windows. Occupancy and wind speed are considered in the control systems’ formulation. The proposed controllers are tested and compared through simulation.

Design of nonlinear MPC techniques for Indoor Air Quality control / Zanoli, Silvia Maria; Pepe, Crescenzo. - (2023), pp. 478-482. (Intervento presentato al convegno International Carpathian Control Conference, ICCC 2023 tenutosi a Miskolc-Szilvásvárad, Ungheria nel 2023) [10.1109/ICCC57093.2023.10178955].

Design of nonlinear MPC techniques for Indoor Air Quality control

Zanoli, Silvia Maria
;
Pepe, Crescenzo
2023-01-01

Abstract

Indoor Air Quality control represents a crucial aspect in Home & Building Automation together with thermal comfort, lighting comfort and energy saving. The present paper proposes different MPC tuning strategies for Indoor Air Quality control in an office through natural ventilation, focusing on the impact of the prediction horizon. A reliable and flexible simulation framework is designed in order to straightly test and simulate the developed control strategies. Nonlinear Model Predictive Control is designed as control strategy. Carbon dioxide is selected as controlled variable that is characterized by an upper constraint. The manipulated variable is represented by the opening width of the office windows. Occupancy and wind speed are considered in the control systems’ formulation. The proposed controllers are tested and compared through simulation.
2023
979-8-3503-1022-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/325623
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