Hydrogen storage capability optimization based on multi-objective function for decision of hydrogen production and utilization

Hydrogen is crucial in sustainable energy systems, yet current hydrogen storage methods often focus on single objectives, missing potential synergies. This research addresses the need for a balanced approach in hydrogen production-consumption dynamics, storage capacity, and operational cost reduction through multi- objective optimization. Our methodology integrates key efficiency metrics, including hydrogen generation, solar, and wind energy conversion efficiencies. We explore the interplay between efficient hydrogen synthesis and renewable energy using a novel mathematical optimization model. Sensitivity analysis evaluates the impact of efficiency parameters on system performance. The study aims to balance production-consumption dynamics, reduce operating expenses, and optimize storage, forming a comprehensive multi-objective strategy for sustainable hydrogen storage. Flexibility in decision-making is ensured by adjusting weighting parameters, allowing for effective management of trade-offs while maintaining system integrity.