Distribution of AC loss in a HTS magnet for SMES with different operating conditions

Yin, Xiuxia; Tang, Yuejin; Jiao, Fengshun; Song, Meng; Cao, Kunnan; Wang, D.; Wang, L.; Hong, Dong

doi:10.1016/j.physc.2013.04.079

Cited by 22 publications

(6 citation statements)

References 5 publications

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“…The model is based on the magnetization losses Q || and Q \ , which were measured in a single tape at field angles of 0°and 90°, considering the magnetic field of the coil, transport, current and frequency [14].…”

Section: Ac Loss and Eddy Current Loss Calculationmentioning

confidence: 99%

An evaluation method for small-scale conduction cooled SMES cryogenic cooling system based on thermal analysis

Tang

Dai

et al. 2015

Cryogenics

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Section: Ac Loss and Eddy Current Loss Calculationmentioning

confidence: 99%

An evaluation method for small-scale conduction cooled SMES cryogenic cooling system based on thermal analysis

Tang

Dai

et al. 2015

Cryogenics

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“…The AC loss of magnet is in positive correction with the benchmark operating current and change rate of current [3]. In order to ensure the output power of the SMES and stored energy, the benchmark current of SMES will be maintained around a fixed value.…”

Section: Tranisent Thermal Charateristci Of Smesmentioning

confidence: 99%

Operating parameters optimization of SMES considering transient thermal stability

Gong

Shi

Yin

et al. 2015

2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)

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In this paper, an operating parameters optimization method for SMES considering transient thermal stability is proposed. Firstly, based on the analysis of transient thermal characteristics of SMES, a neural network based transient thermal analysis model is established to test the transient thermal stability of SMES for particular application scenarios. Then, based on the proposed model, a procedure is designed to find the best operating parameters of SMES, which can maintain the transient thermal stability of HTS magnet and meet the demand of power system as far as possible. Finally, the effectiveness of operating parameters optimization for SMES are verified by cosimulation based on MATLAB and COMSOL.

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“…Heat source of the analysis contains ac loss in the magnet, eddy current loss in the metal structures and joint resistance loss. The numerical model was developed to evaluate the ac loss in the authors' previous work [9]. The model was based on the magnetization losses Q // and Q ⊥ measured in a single tape at field angles of 0 • and 90 • , considering the magnetic field of the coil, transport current and frequency.…”

Section: Sources and Numerical Mesh In Fem Modelmentioning

confidence: 99%

Numerical Simulation of Coupled Heat Transfer, Stress, and Electromagnetic Properties in an SMES Magnet

Tang

et al. 2014

IEEE Trans. Appl. Supercond.

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This paper describes the analysis procedure and FEM model considering the parallel effects of stress and thermal problem coupled with the electromagnetic field problem of a 10 MJ Superconducting Magnetic Energy Storage (SMES) magnet. Since the coupled processes in most analyses are very simplified or even not considered, the general aim of this paper was to create, solve, and validate a numerical model of the coupled stress and thermal phenomena that occur within an SMES magnet. A finite element model has been developed to solve the coupling of the magnetic field, stress, and thermal problems. Temperature and stress distribution of the SMES magnet in two operating conditions are simulated, taking into account the eddy current, ac loss, and heat conduction. This provides useful insight for optimized coil design and condition assessment of SMES.

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Distribution of AC loss in a HTS magnet for SMES with different operating conditions

Cited by 22 publications

References 5 publications

An evaluation method for small-scale conduction cooled SMES cryogenic cooling system based on thermal analysis

An evaluation method for small-scale conduction cooled SMES cryogenic cooling system based on thermal analysis

Operating parameters optimization of SMES considering transient thermal stability

Numerical Simulation of Coupled Heat Transfer, Stress, and Electromagnetic Properties in an SMES Magnet

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