Multimodal Logistics Optimization Powered by AI for Green Hydrogen Export Corridors: An Internet of Energy Perspective on Morocco Europe Trade Routes

Abstract. Green hydrogen exports from Morocco to Europe need efficient transport systems. This paper tests an AI based method to optimize routes across road, pipeline, and sea transport. We used machine learning on 2 160 hours of simulated data from three corridors: Nador Algeciras, Tanger Barcelona, and Casablanca Rotterdam. Our routing algorithm achieved 100% accuracy. Cost predictions showed R² = 0.985 with mean absolute error of 0.11 €/tonne. Pipeline transport from Nador to Algeciras costs 22.4 €/tonne, 2.8 times cheaper than maritime shipping to Rotterdam 62.8 €/tonne. Pipeline emissions are also lowest at 0.09 kg 〖CO〗_2e/kg H_2 compared to 0.25 kg for long maritime routes. We conclude that trans-Mediterranean pipelines offer the most cost effective and low emission option for large scale hydrogen trade between Morocco and Europe.