Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field
Joint Authors
de Marzi, Gianluca
Celentano, Giuseppe
Rizzo, Francesco
Augieri, Andrea
della Corte, Antonio
Tomassetti, Giordano
Source
Advances in Condensed Matter Physics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The ENEA superconductivity laboratory developed a novel design for Cable-in-Conduit Conductors (CICCs) comprised of stacks of 2nd-generation REBCO coated conductors.
In its original version, the cable was made up of 150 HTS tapes distributed in five slots, twisted along an aluminum core.
In this work, taking advantage of a 2D finite element model, able to estimate the cable’s current distribution in the cross-section, a multiobjective optimization procedure was implemented.
The aim of optimization was to simultaneously maximize both engineering current density and total current flowing inside the tapes when operating in self-field, by varying the cross-section layout.
Since the optimization process involved both integer and real geometrical variables, the choice of an evolutionary search algorithm was strictly necessary.
The use of an evolutionary algorithm in the frame of a multiple objective optimization made it an obliged choice to numerically approach the problem using a nonstandard fast-converging optimization algorithm.
By means of this algorithm, the Pareto frontiers for the different configurations were calculated, providing a powerful tool for the designer to achieve the desired preliminary operating conditions in terms of engineering current density and/or total current, depending on the specific application field, that is, power transmission cable and bus bar systems.
American Psychological Association (APA)
Tomassetti, Giordano& de Marzi, Gianluca& Celentano, Giuseppe& Rizzo, Francesco& Augieri, Andrea& della Corte, Antonio. 2018. Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field. Advances in Condensed Matter Physics،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117377
Modern Language Association (MLA)
Tomassetti, Giordano…[et al.]. Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field. Advances in Condensed Matter Physics No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1117377
American Medical Association (AMA)
Tomassetti, Giordano& de Marzi, Gianluca& Celentano, Giuseppe& Rizzo, Francesco& Augieri, Andrea& della Corte, Antonio. Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field. Advances in Condensed Matter Physics. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1117377
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117377