Advanced Electrolyzer Modeling and Simulation for Optimized Green Hydrogen Production

Abstract

In this study, we engineered an advanced electrolyzer utilizing Matlab Simscape. Our primary objective is to Green hydrogen production has emerged as a cornerstone for achieving sustainable energy transitions. Electrolyzer systems play a pivotal role in converting renewable energy into hydrogen, yet their performance is heavily influenced by the design, operation, and integration with renewable energy sources. This study presents an advanced modeling and simulation framework for electrolyzers, emphasizing the optimization of green hydrogen production under dynamic operational conditions. The proposed model incorporates key factors such as temperature, pressure, and electrical input variability to accurately predict electrolyzer performance. By integrating renewable energy sources, such as photovoltaic (PV) systems, and employing novel optimization techniques, this study demonstrates significant improvements in efficiency and hydrogen yield. Comprehensive validation is performed using real-world data, highlighting the model's applicability for large-scale deployment. This research provides a robust foundation for developing cost-effective, efficient, and sustainable green hydrogen production systems, addressing critical challenges in renewable energy integration and contributing to the global energy transition.