Multiphysics study of induction heating for solid electric heat storage devices

doi:10.19799/j.cnki.2095-4239.2023.0662

Abstract

Abstract:

Solid electric energy storage devices represent a promising avenue for efficient energy consumption. However, traditional methods that rely on resistance heating have inherent shortcomings, including prolonged heating times, uneven temperature distribution, limited lifespan of heating resistance wires, and susceptibility to aging. To significantly improve the performance and heat storage capacity of solid electric energy storage devices, this paper proposes the integration of induction heating technology, known for its rapid and pollution-free heating. We used comprehensive COMSOL simulations to investigate the impact of various current frequencies on the electromagnetic field and temperature distribution of induction heating. We also explored how fluid flow rates influence temperature uniformity within a thermal storage unit. Our findings demonstrate that when cast iron is employed as the thermal storage material and induction heating is adopted, solid electric energy storage devices exhibit superior thermal storage properties. Notably, these devices offer substantially faster initial heating rates (up to 8.5 ℃ per minute) and achieve a higher thermal storage body temperature (900 ℃) compared to traditional resistance-based devices. Moreover, under conditions of a wind speed of 0.05 m/s, the cast iron thermal storage unit exhibited optimal temperature uniformity. This innovative approach not only augments the performance of solid electric energy storage devices but also equips them with flexible and rapid response capabilities, effectively positioning them in the future electricity market.

Key words: induction heating, solid electric thermal energy storage device, multiphysics coupling, temperature field uniformity

CLC Number:

TK 01

Xin ZHANG, Zuoxia XING, Qitong FU, Chao ZHANG, Libing JIANG. Multiphysics study of induction heating for solid electric heat storage devices[J]. Energy Storage Science and Technology, 2023, 12(12): 3761-3769.

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名称	参数值
线圈个数	3
线圈匝数	65
线圈内径/mm	3
线圈外径/mm	5
线圈间距/cm	40
线圈与加热体距离/cm	25

指标	参数值
热导率/[W/(m·K)]	700
密度/(g/m³)	7.0
电导率/(S/m)	1
比热容/[kJ/(kg·K)]	0.46
磁导率/(H/m)	200
熔点/℃	1200

电流频率/kHz	磁感应强度×10^-3/T	感应电流密度×10⁶/(A/m²)
5	7.49	5.23
10	3.93	5.32
15	2.62	5.34

[1]	FENG Yan, ZHENG Lili, DAI Zuoqiang, ZHANG Zhichao, DU Guangchao, WANG Dong. Progress in lithium ion battery simulation model [J]. Energy Storage Science and Technology, 2019, 8(S1): 18-22.
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