Integrating LoRa Networks and AI for Enhanced Green Hydrogen Production Efficiency

Abstract

This study represents a monumental leap forward in the development of an advanced green hydrogen system, seamlessly integrating cutting-edge batteries and state-of-the-art solar cells to power an electrolyzer efficiently, subsequently fueling electricity-generating fuel cells. The research encompasses the construction of a highly intricate and comprehensive MATLAB/Simulink model, meticulously capturing the dynamic variations in fuel cell loads. Additionally, an IoT and LoRa-based control system has been incorporated into this innovative framework, all aimed at establishing a sustainable energy ecosystem of unparalleled efficiency. This groundbreaking approach not only enables highly efficient electricity generation and storage through the renewable promise of hydrogen but also provides crucial insights for optimization and practical deployment, thereby paving the way toward a profoundly cleaner, greener, and more resilient energy landscape for the benefit of future generations.