MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641095322 A) filed by Sns College Of Technology on August 06, 2026, for Intelligent Hydrogen Production Optimization Technique Using Renewable Energy Sources.

Inventors include Dr. G. Vanitha; Dr. M. Shobana; M. Manikandan; Thilagarani P; Ambika. S; Mahalakshmi. K; R. Shanmugapriya; and Dr. P. Shree Nandhini.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: ABSTRACT Intelligent Hydrogen Production Optimization Technique using Renewable Energy Sources The transition toward sustainable energy systems has intensified interest in hydrogen as a clean and versatile energy carrier. This study proposes an intelligent hydrogen production optimization technique that integrates renewable energy sources such as solar and wind power with advanced computational methods. The primary objective is to enhance hydrogen yield while minimizing energy losses, operational costs, and environmental impact. The system employs machine learning algorithms and predictive analytics to dynamically manage energy input, electrolyzer performance, and storage conditions based on real-time data from renewable sources. A hybrid optimization framework is developed using techniques such as artificial neural networks (ANN), genetic algorithms (GA), and fuzzy logic controllers to ensure efficient energy utilization under variable weather conditions. The proposed model predicts fluctuations in renewable energy generation and adjusts the electrolysis process accordingly, maintaining optimal operating conditions. Additionally, the integration of smart sensors and Internet of Things (IoT) technologies enables continuous monitoring and adaptive control of the hydrogen production system. Simulation results demonstrate that the intelligent optimization approach significantly improves hydrogen production efficiency compared to conventional methods, reducing energy wastage and ensuring stable output.

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