MUMBAI, India, Nov. 7 -- Intellectual Property India has published a patent application (202421035003 A) filed by Tata Consultancy Services Limited, Maharashtra, on May 2, 2024, for 'thermal optimization and control in open-plan spaces using physics-informed graph neural network based optimal controller.'
Inventor(s) include Nagarathinam, Srinarayana; and Vasan, Arunchandar.
The application for the patent was published on Nov. 7, under issue no. 45/2025.
According to the abstract released by the Intellectual Property India: "Optimal control of multiple heating, ventilation, and air-conditioning units in an open-plan space demands fast and accurate thermodynamic modeling. Prior methods lack scalability required for effective control in large open-plan offices primarily due to air-mixing interactions. The present disclosure describes a physics-informed graph neural network (PI-GNN) to overcome these challenges. Specifically, thermodynamic interactions are modeled as edges between nodes that represent cells. Further, a modeling approach is used that allows explicit modeling of wall and window surface temperatures which are commonly ignored. The method of present disclosure utilizes PI-GNN as a state-estimator that employs a receding-horizon approach for optimal HVAC control. PI-GNNs are adapted for building HVAC control by incorporating a time-resetting strategy to handle time-dependent ambient conditions and therefore set-points. The method of the present disclosure outperforms a regular PINN model and other baseline control strategies on thermal model accuracy, computation time, energy consumption, and user comfort."
Disclaimer: Curated by HT Syndication.
