Light superconudcting technology for decarbonized mobility

This thesis investigates a comprehensive multi-physical modeling framework tailored to superconducting applications, addressing the growing demand for efficient systems, focusing on energy transmission in power grids and green mobility like aircraft propulsion. The developed methodology focuses on integrating electrical, magnetic, and thermal domains to analyze and optimize superconductive devices with a unified and scalable approach. The first part of the thesis establishes the foundations of multi-physical modeling, emphasizing the interplay between different physical domains. Accurate numerical models, derived from a robust theoretical framework, have been validated through extensive simulations. These models have been compared against experimental measurements, commercial software, and literature results, ensuring excellent adherence to physical reality. In the second part, the proposed multi-physical approach is applied to large-scale superconducting applications, demonstrating its versatility and scalability by fully integrating the methodology within the Matlab and Simulink environment. The proposed application focuses on superconducting transmission cables for power grids. Furthermore, the methodology can be extended to electric powertrains for next-generation light superconducting propulsion systems, particularly in aircraft and marine vessels, showcasing significant improvements in efficiency, power density, and operational performance. The integration of these models into a cohesive simulation framework highlights their adaptability to real-world scenarios, enabling engineers to address design challenges and validate innovative solutions with confidence. The results presented demonstrate the potential of multi-physical simulations to accelerate the adoption of superconductive technologies across critical applications, paving the way for energy-efficient systems in transportation and power distribution. Overall, this thesis provides a unified and flexible modeling approach, contributing to the advancement of superconducting applications and offering a reliable toolset for future developments in the energy and transportation sectors.