Potential and limits of numerical modelling for supporting the development of HTS devices

Sirois, Frédéric; Grilli, Francesco

doi:10.1088/0953-2048/28/4/043002

Cited by 68 publications

(51 citation statements)

References 47 publications

(72 reference statements)

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“…Figure 7 presents the relative errors in the total average losses and the coefficient of determination [35] in J distributions calculated comparing the results at each iteration with the results of the reference model. The relative error in the total average losses is defined by = | − |, (7) where is the total average losses of the reference model, while is the total average losses of the multi-scale models at iteration k. The coefficient of determination is denoted by 2 , and is defined by…”

Section: Multi-scale Models Results and Comparisonsmentioning

confidence: 99%

Iterative multi-scale method for estimation of hysteresis losses and current density in large-scale HTS systems

Berrospe-Juarez

Zermeño

Trillaud

et al. 2018

Supercond. Sci. Technol.

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In recent years, commercial HTS materials have gained an increasing interest for their use in applications involving large-scale superconductor systems. These systems are typically made from hundreds to thousands of turns of conductors. These applications can range from power engineering devices like power transformers, motors and generators, to commercial and scientific magnets. The available analytical models are restricted to the analysis of individual tapes or relatively simple assemblies, then it is not possible to apply these models to the study of large-scale systems and other simulation tools are required. Due to the large number of turns, the simulations of a whole system can become prohibitive in terms of computing time and load. Therefore, an efficient strategy which does not compromise the accuracy of calculations is needed. Recently, a method, based on a multi-scale approach, showed that the computational load can be lowered by simulating, in detail, only several significant tapes from the system. The main limitation of this approach is the inaccuracy of the estimation of the background magnetic field, this means the field affecting the significant tapes produced by the rest of the tapes and by external sources. To address this issue, we consider the following two complementary strategies. The first strategy consists in the iterative implementation of the multi-scale method. The multi-scale method solves itself a dynamic problem, the iterative implementation proposed here is the iterative application of the multi-scale method, and a dynamic solution is obtained at each iteration. The second strategy is a new interpolation method for current distributions. With respect to conventional interpolation methods, a more realistic current density distribution is then obtained, which allows for a better estimation of the background magnetic field, and consequently, a better estimation of the hysteresis losses. In contrast with previous works, here we do not focus only on the estimation of the hysteresis losses, but also the estimation of the current density distribution is addressed. This new method is flexible enough to simulate different sections of the system with a better level of detail while providing a faster computational speed than other approaches. In order to validate the proposed method, a case study is analyzed via a reference model, which employs the H-formulation of Maxwell's equations and includes all the system's tapes. The comparison, between the reference model and the iterative multi-scale model, shows that the computation time and memory demand are greatly reduced. In addition, a very good agreement with respect to the reference model, both at a local and global scale, is achieved.

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Section: Multi-scale Models Results and Comparisonsmentioning

confidence: 99%

Iterative multi-scale method for estimation of hysteresis losses and current density in large-scale HTS systems

Berrospe-Juarez

Zermeño

Trillaud

et al. 2018

Supercond. Sci. Technol.

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“…In this sense, this is a sister paper for [4] presented in the Applied Superconductivity Conference in Seattle, Washington in the fall of 2018 [5]. Also, this paper complements a recent effort with somewhat similar goals [6].…”

Section: Motivation and Backgroundmentioning

confidence: 87%

Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments

Lahtinen

Stenvall

2020

IEEE Trans. Appl. Supercond.

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Computer-assisted modelling is an essential approach to design new devices. It speeds up the process from the initial idea to an actual device and saves resources by reducing the number of built prototypes. This is also a significant practical motivator behind scientific research in contemporary high-temperature superconductor (HTS) AC loss modelling. However, in the scientific literature in this field, consistent practices about modelling terminology have not been established. Then, it is up to the reader to decide, what is the true intent and meaning of the authors. Consequently, the interpretation of such literature might be very much reader-dependent. Moreover, an inseparable part of the whole modelling process is the development of modelling approaches and numerical methods and comparing the predictions obtained via modelling to experimentally achieved results: It is commonplace to discuss the accuracy of modelling results or the validation of a model. In this paper, we discuss the terminology related to theories, models and experiments in the context of HTS AC loss modelling. We discuss the recursive nature of theories and models in this context, discuss the compatibility of discrete formulations of physics utilized in our field with the corresponding continuum descriptions, as well as with intuition, and interpret the perceived meaning of validation of a self-consistent model, shedding light on the relationships between theories, models and measurements. We present our view on understanding these relations in the familiar context of AC losses in HTS. As a result, we end this paper with four conjectures describing our views.

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“…Review of the current situation of numerical modelling in the context of HTS device development is presented in [1,2]. Numerical modeling is a key component towards optimization of HTS devices, and it is a field in development, especially regarding electromagnetic models.…”

Section: Introductionmentioning

confidence: 99%

AC Losses Analysis in stack of 2G HTS tapes in a coil

Зубко¹,

Fetisov²,

Zanegin³

et al. 2020

Preprint

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The model coil with the racetrack geometry based on second generation (2G) High Temperature Superconducting (HTS) tapes has been developed for an electrical machine where a winding pack is a stack of 2G HTS tapes. It is important to evaluate transport current AC losses and possible methods to reduce them in a winding. In a device made of 2G HTS tapes, the main the AC losses are the hysteresis ones. Only numerical simulation permits to predict them in full. The FEM model for calculation of the hysteresis losses developed before for 2G HTS power cables was modified for a stack of the 2G HTS tapes in a coil. In this paper the methods to increase a computational speed are presented. Possible ways to reduce AC losses are discussed also. The details of the model and comparisons of calculations with measurements of the AC loss are presented.<br>

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Potential and limits of numerical modelling for supporting the development of HTS devices

Cited by 68 publications

References 47 publications

Iterative multi-scale method for estimation of hysteresis losses and current density in large-scale HTS systems

Iterative multi-scale method for estimation of hysteresis losses and current density in large-scale HTS systems

Semantics of HTS AC Loss Modeling: Theories, Models, and Experiments

AC Losses Analysis in stack of 2G HTS tapes in a coil

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