"Model-based adaptive controller for personalized ventilation and therm" by Dalia Ghaddar, Mariam Itani et al.

Building Simulation: An International Journal

Article Title

Model-based adaptive controller for personalized ventilation and thermal comfort in naturally ventilated spaces

Authors

Dalia Ghaddar, Mechanical Engineering Department, American University of Beirut, P.O. Box 11-0236, Beirut 1107-2020, Lebanon
Mariam Itani, Mechanical Engineering Department, American University of Beirut, P.O. Box 11-0236, Beirut 1107-2020, Lebanon; Mechanical Engineering Department, Phoenicia University, District of Zahrani, Lebanon
Nesreen Ghaddar, Mechanical Engineering Department, American University of Beirut, P.O. Box 11-0236, Beirut 1107-2020, Lebanon
Kamel Ghali, Mechanical Engineering Department, American University of Beirut, P.O. Box 11-0236, Beirut 1107-2020, Lebanon
Joseph Zeaiter, Bahaa and Walid Bassatne Department of Chemical Engineering and Advanced Energy, American University of Beirut, Beirut, Lebanon

Keywords

adaptive PID controller, personalized ventilation, natural ventilation, thermal comfort

Abstract

This work develops a standalone autonomously controlled personalized ventilation (PV) unit in a naturally ventilated (NV) office space to maintain acceptable thermal comfort (TC) under steady and transient indoor conditions and activity levels. The NV-PV proportional integral derivative (PID) controller adjusts the PV supply temperature (T_SPV) at the occupant set flow rate (Q_SPV) based on predicted TC using a regression model. The target TC level that the controller attains at all times is between 0 (neutral) and 1 (slightly comfortable). Process transfer functions were developed and then used to find the adaptive PID tuning coefficients using the Internal Model Control (IMC) method. The controller was tested in a case study at indoor temperature range of 25 to 33 °C with relative humidity range of 55% and 80%. It was shown that the NV-PV controller adjusted T_SPV to maintain acceptable TC under transients of indoor conditions and metabolic rates.

Recommended Citation

Ghaddar, Dalia; Itani, Mariam; Ghaddar, Nesreen; Ghali, Kamel; and Zeaiter, Joseph (2021) "Model-based adaptive controller for personalized ventilation and thermal comfort in naturally ventilated spaces," Building Simulation: An International Journal: Vol. 14: Iss. 6, Article 12.
DOI: https://doi.org/10.1007/s12273-021-0783-x
Available at: https://dc.tsinghuajournals.com/building-simulation/vol14/iss6/12

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