Existing resilience strategies for maritime energy systems remain fragmented between ships and ports, failing to address critical temporal mismatches and energy reciprocity during extreme weather. Conventional models cannot resolve the millisecond-scale ship responses versus hour-level port planning dichotomy, perpetuating annual losses exceeding 12 billion dollars globally. This study bridges this gap through a dynamic game-theoretic framework that coordinates multi-timescale decisions via nested optimization, integrating a physics-data fused digital twin for 89 percent accurate vulnerability prediction. The innovative resilience synergy metric quantifies mutual support capacity, enabling Pareto-optimal designs with 52 percent energy storage penetration and 34 percent cost efficiency. Validation across 14 global ports demonstrates 57 % reduction in weather-induced disruptions and 22 % faster recovery in renewable-adaptive hubs in renewable-adaptive hubs while sustaining 72 percent critical load supply under Category 6 typhoons. Although real-world data delays and compound stressors expose residual challenges, the framework establishes actionable pathways for climate-resilient ports through quantum-enhanced control and institutionalized emergency protocols, directly addressing 2050-level climate adaptation imperatives.
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