Optimization of Green Hydrogen Production in an Alkaline Electrolyzer
Abstract
Green hydrogen production via alkaline water electrolysis is a key pathway for decarbonizing the energy sector, offering advantages in cost and scalability. This study presents an optimization methodology for a photovoltaic-powered alkaline electrolyzer system to maximize annual hydrogen production. The system integrates a single-diode model for the photovoltaic (PV) panel with an electrochemical model for the electrolyzer, accounting for temperature-dependent performance characteristics. Using Particle Swarm Optimization (PSO), the operational parameters of temperature and number of electrolytic cells were optimized under realistic meteorological conditions. Irradiance data throughout the year 2023 were obtained for the city of Recife-PE using the PVGIS (Photovoltaic Geographical Information System) tool. For the proposed model, results shown that optimal configuration of 7 cells operating at 80°C maximizes annual hydrogen yield. Higher temperatures significantly enhance production rates, though this must be balanced against the energy requirements for temperature maintenance. This research provides valuable insights into operational parameter optimization a solar-driven green hydrogen production system.
Keywords
Green Hydrogen, Alkaline Electrolysis, Optimization, Temperature Control, Electrolytic Cells, Hydrogen Production