MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070001 A) filed by Varsha V; Rajshekhar M Patil; Rishab A Badaseshi; and Cambridge Institute Of Technology North Campus on June 04, 2026, for Quantum-Assisted Ai System For Hydrogen Storage Optimization.
Inventors include Rajshekhar M Patil; Varsha V; and Rishab A Badaseshi.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses a system for intelligent optimization of hydrogen storage and energy management using artificial intelligence and quantum computing techniques. The system comprises a hydrogen data acquisition module configured to collect operational parameters including pressure, temperature, flow rate, storage density, catalyst characteristics, and energy utilization data from hydrogen infrastructure components. An artificial intelligence analytics engine processes the collected data to generate predictive outputs relating to storage efficiency, operational risks, hydrogen demand, leakage probability, and degradation behavior. A quantum optimization engine performs simulation and optimization of hydrogen storage conditions, molecular interactions, catalyst performance, and energy management variables. A catalyst simulation module evaluates catalyst efficiency and hydrogen production characteristics. A hybrid decision controller integrates outputs from the artificial intelligence analytics engine, quantum optimization engine, and catalyst simulation module to generate optimized operational control decisions. A storage optimization module dynamically adjusts hydrogen storage parameters to improve efficiency and safety. A feedback learning module continuously updates prediction and optimization models using real-time operational performance data. The invention provides an adaptive closed-loop framework for enhancing hydrogen storage reliability, catalyst utilization, operational safety, and energy management performance across hydrogen-based energy ecosystems.
Disclaimer: Curated by HT Syndication.
