“Optimal control of HVAC and window systems for natural ventilation through reinforcement learning,” authored by Yujiao Chen, Leslie Norford, and CGBC/GSD researchers Holly W. Samuelson and Ali Malkawi, was selected as one of the “Ten best research papers” between 2018-2022 in Energy and Buildings.  

The research paper explores issues of natural ventilation and energy efficiency, specifically through a reinforcement learning control strategy that makes optimal control decisions for heating, ventilation, and cooling (HVAC) and window systems to minimize energy consumption and thermal discomfort. The paper outlines how the control system works to evaluate outdoor and indoor environments, and through case studies, the paper shows how natural ventilation can be optimized and can adapt to occupant behaviors.

Learn more about the award, and read the selected publication.