Maximizing Green Hydrogen Production from Water Electrocatalysis: Modeling and Optimization

Abstract

The use of green hydrogen as a fuel source for marine applications has the potential to significantly reduce the carbon footprint of the industry. The development of a sustainable and cost-effective method for producing green hydrogen has gained a lot of attention. Water electrolysis is the best and most environmentally friendly method for producing green hydrogen-based renewable energy. Therefore, identifying the ideal operating parameters of the water electrolysis process is critical to hydrogen production. Three controlling factors must be appropriately identified to boost hydrogen generation, namely electrolysis time (min), electric voltage (V), and catalyst amount (μg). The proposed methodology contains the following two phases: modeling and optimization. Initially, a robust model of the water electrolysis process in terms of controlling factors was established using an adaptive neuro-fuzzy inference system (ANFIS) based on the experimental dataset. After that, a modern pelican optimization algorithm (POA) was employed to identify the ideal parameters of electrolysis duration, electric voltage, and catalyst amount to enhance hydrogen production. Compared to the measured datasets and response surface methodology (RSM), the integration of ANFIS and POA improved the generated hydrogen by around 1.3% and 1.7%, respectively. Overall, this study highlights the potential of ANFIS modeling and optimal parameter identification in optimizing the performance of solar-powered water electrocatalysis systems for green hydrogen production in marine applications. This research could pave the way for the more widespread adoption of this technology in the marine industry, which would help to reduce the industry’s carbon footprint and promote sustainability.

Optimal Design and Sizing of Hybrid Photovoltaic/Fuel Cell Electrical Power System

“…Hydrogen storage offers advantages over lead-acid batteries, especially for long-term storage requirements. Pressurized tanks are still commonly employed for hydrogen storage in various applications [58]. Standalone systems often necessitate the implementation of energy storage mechanisms to ensure uninterrupted power supply during instances of intermittent or system failure.…”

Sustainable Financial Fraud Detection Using Garra Rufa Fish Optimization Algorithm with Ensemble Deep Learning

“…POA corresponds to a population-based metaheuristic optimization technique that is stimulated by the swarming behaviors of pelicans. This technique is used to identify the better catalyst quantity, electrolysis time, and electric voltage in order to maximize the hydrogen generation from water electrolysis [27]. This algorithm is divided into two subsequent phases.…”

Water Splitting as an Alternative for Electrochemical Hydrogen and Oxygen Generation: Current Status, Trends, and Challenges

“…Therefore, great efforts are needed to pay for the transition to a hydrogen economy both in the development of cost-effective materials with high efficiency and simplifying the electrocatalytic system components for large-scale applications and reducing totals cost [7][8][9]. It is known that green hydrogen can be produced by water electrolysis or water splitting using the excess of electrical energy from renewable sources such as solar panels or wind turbines, but this requires effective and durable electrode materials with high electrochemical activity [10,11]. In this context, the scientific community has devoted much effort to developing new promising methods to fabricate electrodes with remarkable properties [12][13][14][15].…”