Integrating Fuzzy AHP-TOPSIS for Material Selection in Green Hydrogen and Ammonia Production

Abstract

The transition to sustainable energy sources necessitates the efficient production of green hydrogen and ammonia, with advanced material selection playing a pivotal role in this process. This study employs a Fuzzy Analytic Hierarchy Process (Fuzzy AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) to provide a structured approach to material evaluation. Prioritization results emphasize Scalability and Efficiency as the most critical criteria, reflecting Morocco's strategic focus on optimizing production and expanding renewable energy infrastructure. Comparisons with recent literature underscore the evolving priorities in material selection, reinforcing the significance of eco-friendly and scalable technologies. The findings identify Innovative nanostructured platinum-free catalyst as the optimal choice, excelling in Scalability and Environmental Impact, which aligns with advancements in hydrogen reactor scale-up strategies. Meanwhile, Nickel-based alloy demonstrates superior efficiency and durability but faces scalability challenges, mirroring concerns in industrial deployment. These results provide theoretical advancements in decision-making methodologies and practical insights for energy planners and investors. They highlight the balance between technical performance and sustainability goals, offering a robust framework for material selection that supports large-scale green hydrogen and ammonia production while aligning with global decarbonization efforts.