Superconducting Magnets: Progress and Design

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: 30 May 2024 | Viewed by 739

Special Issue Editors


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Guest Editor
NEMO Group, Dipartimento Energia, Politecnico di Torino, 10129 Torino, Italy
Interests: circuit design

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Guest Editor
NEMO Group, Energy Department, Politecnico di Torino, 10129 Turin, Italy
Interests: nuclear fusion magnets; high-temperature superconductor; numerical modeling of superconducting magnets

Special Issue Information

Dear Colleagues,

The field of superconducting magnets is continuously developing in all fields where this technology is a key ingredient. The construction of large magnets for several applications is showing issues, thus leading to the development of new areas of improvement in well-established design, based on low-temperature superconductors. At the same time, newer materials, such as high-temperature superconductors, have opened the way for new ideas and concepts, posing new challenges for the magnet design. This Special Issue aims to gather the most recent progress and design of superconducting magnets.

The areas of relevance include, but they are not limited to, superconducting magnets for medical applications, e.g., MRI; large applications such as high-energy physics and nuclear fusion; high field experiments; and energy and transport applications, such as fault current limiters and motors. As in the design of superconducting magnets, several design tools are employed. Contributions focused on the most recent advances in the design of and modeling tools for superconducting magnets are welcome for submission.

Dr. Roberto Bonifetto
Dr. Andrea Zappatore
Guest Editors

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Keywords

  • nuclear fusion magnets
  • high-temperature superconductor
  • numerical modeling of superconducting magnets

Published Papers (1 paper)

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Research

16 pages, 5270 KiB  
Article
Application of the Polynomial Chaos Expansion to the Uncertainty Propagation in Fault Transients in Nuclear Fusion Reactors: DTT TF Fast Current Discharge
by Marco De Bastiani, Alex Aimetta, Roberto Bonifetto and Sandra Dulla
Appl. Sci. 2024, 14(3), 1068; https://doi.org/10.3390/app14031068 - 26 Jan 2024
Viewed by 445
Abstract
Nuclear fusion reactors are composed of several complex components whose behavior may be not certain a priori. This uncertainty may have a significant impact on the evolution of fault transients in the machine, causing unexpected damage to its components. For this reason, a [...] Read more.
Nuclear fusion reactors are composed of several complex components whose behavior may be not certain a priori. This uncertainty may have a significant impact on the evolution of fault transients in the machine, causing unexpected damage to its components. For this reason, a suitable method for the uncertainty propagation during those transients is required. The Monte Carlo method would be the reference option, but it is, in most of the cases, not applicable due to the large number of required, repeated simulations. In this context, the Polynomial Chaos Expansion has been considered as a valuable alternative. It allows us to create a surrogate model of the original one in terms of orthogonal polynomials. Then, the uncertainty quantification is performed repeatedly, relying on this much simpler and faster model. Using the fast current discharge in the Divertor Tokamak Test Toroidal Field (DTT TF) coils as a reference scenario, the following method has been applied: the uncertainty on the parameters of the Fast Discharge Unit (FDU) varistor disks is propagated to the simulated electrical and electromagnetic relevant effects. Eventually, two worst-case scenarios are analyzed from a thermal–hydraulic point of view with the 4C code, simulating a fast current discharge as a consequence of a coil quench. It has been demonstrated that the uncertainty on the inputs (varistor parameters) strongly propagates, leading to a wide range of possible scenarios in the case of accidental transients. This result underlines the necessity of taking into account and propagating all possible uncertainties in the design of a fusion reactor according to the Best Estimate Plus Uncertainty approach. The uncertainty propagation from input data to electrical, electromagnetic, and thermal hydraulic results, using surrogate models, is the first of its kind in the field of the modeling of superconducting magnets for nuclear fusion applications. Full article
(This article belongs to the Special Issue Superconducting Magnets: Progress and Design)
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