User comfort and energy efficiency in HVAC systems by Q-learning

Date

2018-05-05

Author

Ulusoy, İlkay
Baghaee, Sajjad

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This study focuses on applying Q-learning techniques for an HVAC agent where the agent learns to find the optimal sequence of ventilator rate variations to satisfy user comfort and energy efficiency simultaneously. On-Off and Setpoint control methods are investigated besides the proposed control method under different occupant number. The results show the advantage of the proposed Q-learning method to keep the Indoor Air Quality (IAQ), i.e., the indoor CO2 concentration, at the desired level while operating the HVAC efficiently.

Subject Keywords

Reinforcement Learning (RL) , Q-Learning , HVAC , Ventilation System , Comfort And Energy Efficiency

URI

https://hdl.handle.net/11511/48730

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar