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

Ghaddar, Dalia / Itani, Mariam / Ghaddar, Nesreen / Ghali, Kamel / Zeaiter, Joseph

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.

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

Ghaddar, Dalia / Itani, Mariam / Ghaddar, Nesreen / Ghali, Kamel / Zeaiter, Joseph

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.

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

Ghaddar, Dalia / Itani, Mariam / Ghaddar, Nesreen / Ghali, Kamel / Zeaiter, Joseph

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.

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Title:

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

Additional title:

Build. Simul.

Contributors:

Ghaddar, Dalia (author) / Itani, Mariam (author) / Ghaddar, Nesreen (author) / Ghali, Kamel (author) / Zeaiter, Joseph (author)

Published in:

Building Simulation ; 14 ; 1757-1771

Publication date:

2021-12-01

Size:

15 pages

ISSN:

1996-8744 , 1996-3599

DOI:

https://doi.org/10.1007/s12273-021-0783-x

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

adaptive PID controller , personalized ventilation , natural ventilation , thermal comfort Engineering , Building Construction and Design , Engineering Thermodynamics, Heat and Mass Transfer , Atmospheric Protection/Air Quality Control/Air Pollution , Monitoring/Environmental Analysis

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