IIC Journal of Innovation 12th Edition | Page 72

Artificial and Human Intelligence with Digital Twins robotic applications. 12 13 Beside the simple RL applications, there are still few real-world applications of RL to increase efficiency. We studied and did some research to extend an RL algorithm for controlling the heating, ventilation and air conditioning (HVAC) systems. HVAC includes all the components that are supposed to maintain a certain comfort level in the building. Buildings consume 30% to 40% of all consumed energy in the world, so any improvement could result in huge savings in energy consumption and carbon dioxide release. 14 Advances in new technologies in recent years have improved the efficiency of most components in the HVAC systems. Nevertheless, there are still several directions to reduce the energy consumption by controlling different decisions on these systems. We considered a multizone HVAC system and selected the amount of air flow as the main control decision. Using the obtained data from an SAS building in Cary, NC, we trained an environment and used it to train an RL algorithm when there are 10 zones in the system with a set-point of 72 with ±3 allowance. The figure below shows the results of 50 cases with different initial temperatures. The upper figure is the temperature and the lower figure is taken actions over 150 minutes in which every three minutes a decision is taken. We compared this result to the commonly used rule-based algorithm (in which the system is turned on/off at 69/75), and RL obtained 47% improvement on combination of obtained comfort and energy consumption. 12 Hao, Karen. 2019. “The Rise of Reinforcement Learning” in “We Analyzed 16,625 Papers to Figure Out Where AI Is Headed Next.” Available: https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed- next/ 13 Burda, Yuri. 2018. “Reinforcement Learning with Prediction-Based Rewards.” Available: https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/ 14 U.S. Department of Energy, 2008, “Energy Efficiency Trends in Residential and Commercial Buildings” Available: https://www1.eere.energy.gov/buildings/publications/pdfs/corporate/bt_stateindustry.pdf IIC Journal of Innovation - 67 -