Commercial Design and Operating Characteristics of a 300 kW Superconducting Induction Heater (SIH) Based on HTS Magnets

Choi, Jung Hye; Kim, Tae-Kue; Lee, Chankyeong; Jeon, D. S.; Park, Gyeong-Won; Cho, Sangho; Park, Minwon; Yu, In-Keun; Iwakuma, Masataka

doi:10.1109/tasc.2019.2899461

Cited by 20 publications

(4 citation statements)

References 16 publications

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“…In 2016, Choi et al developed a 300 kW industry-scale superconducting DC induction heater for 236 mm × 1000 mm metal billets. In 2018, they also fabricated a commercial 300 kW superconducting induction heater [25]- [35]. The maximum billet size was 240 mm × 700 mm.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Yang

Dai

et al. 2020

IEEE Access

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The efficiency of novel superconducting direct current (DC) induction heaters can be up to 80-90%. This is much higher than the 40-50% of conventional alternating current induction heaters. Induction heaters are used to preheat aluminum billets in extrusion pressing. Such devices use a driving motor to rotate the billet. A peak in the electromagnetic torque appears at low rotation speeds (of the motor). Therefore, this peak electromagnetic torque is of particular interest when designing the driving system, which is one of the main challenges for megawatt-class superconducting DC induction heaters. In this paper, the peak electromagnetic torque characteristics of different sized billets were analyzed. A numerical 3D finite element method model was built to analyze the peak electromagnetic torque and resistive heating power behavior of aluminum billets. The results obtained from simulations and experiments match well. The effect of the following five relative parameters, on electromagnetic torque and resistive heating power, were studied: billet diameter, billet length, magnetic flux density, billet material, and electrical conductivity. The peak electromagnetic torque increases nonlinearly with increasing billet diameter, up to 640 mm. The time elapsed between the peak to stable torque decreases nonlinearly with increasing magnetic flux density. The effects of billet material (copper, titanium alloy and stainless steel) on torque were analyzed and compared. These results are likely to guide more cost-effective and practical designs for the billet driving system of superconducting DC induction heaters. INDEX TERMS Superconducting DC induction heater, peak electromagnetic torque, aluminum billet, magnetic flux density.

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Section: Introductionmentioning

confidence: 99%

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Yang

Dai

et al. 2020

IEEE Access

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“…In electric power systems, SCs are often used for devices that require a maximum magnetic field or a highly uniform field, such as a current limiter, reactor, transformer, induction heater, wind turbine generator, and power transmission cable, etc. [6][7][8][9][10][11][12][13][14]. In the SI-SFCL system, the SC must generate a large magnetic field to saturate the iron-core in the normal state of the DC power system.…”

Section: Introductionmentioning

confidence: 99%

Combining finite element and reinforcement learning methods to design superconducting coils of saturated iron-core superconducting fault current limiter in the DC power system

Kim,

Dao,

Park

et al. 2023

PLoS ONE

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A saturated iron-core type superconducting fault current limiter (SI-SFCL) can effectively restrict the magnitude of the fault current and alleviate the strain on circuit breakers in DC power systems. Design of a superconducting coil (SC), which is one of the key tasks in the SI-SFCL design, requires guaranteeing a sufficient magnetic field, ensuring optimization of the shape and size, minimizing the wire cost, and satisfying the safety and stability of operation. Generally, finite element method (FEM) is used to calculate and evaluate the operating characteristics of SCs, from which it is possible to determine their optimal design parameters. When the coil is complex and large, the simulation time may range from hours to days, and if input parameters change even slightly, the simulations have to be redone from scratch. Recent advances in deep learning represent the ability to be effective for modeling and optimizing complex problems from training data or in real-time. In this paper, we presented a combination of the FEM simulation and deep Q-network (DQN) algorithm to optimize the SC design of a lab-scale SI-SFCL for a DC power system. The detailed design process and options for the SC of SI-SFCL were proposed. In order to analyze the characteristics related to the electromagnetic properties and operational features of the SC, a 3D FEM model was developed. Then, a DQN model was constructed and integrated with the FEM simulation for training and optimizing the design parameters of the SC in real-time. The obtained results of this study have the potential to effectively optimize the design parameters of large-scale SI-SFCL development for high-voltage DC power systems.

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“…In Korea, a 300 kW-class HTS DC induction heater had been proposed since 2014 and commercialized by Supercoil Company Ltd. (South Korea) in 2017. The HTS magnet coils was wound with 2nd generation HTS ReBCO tapes and the magnetic flux density at the center of two HTS magnets is more than 1.0 T within 10 K. The heater showed 89.7% of the energy efficiency for aluminium billets with the maximum size of Ø240 mm×L700 mm [21], [22].…”

Section: Introductionmentioning

confidence: 99%

Development and Test of One Commercial Megawatt Superconducting DC Induction Heater With Extra High Energy Efficiency

Dai

Yan

Hong³

et al. 2021

IEEE Access

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Commercial Design and Operating Characteristics of a 300 kW Superconducting Induction Heater (SIH) Based on HTS Magnets

Cited by 20 publications

References 16 publications

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters

Combining finite element and reinforcement learning methods to design superconducting coils of saturated iron-core superconducting fault current limiter in the DC power system

Development and Test of One Commercial Megawatt Superconducting DC Induction Heater With Extra High Energy Efficiency

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