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基于热网络的储能翅片管温度响应计算模型

殷健宝 邢玉明 王仕淞 侯煦 王子贤 许泽

殷健宝, 邢玉明, 王仕淞, 等. 基于热网络的储能翅片管温度响应计算模型[J]. 航空动力学报, 2023, 38(10):2395-2406 doi: 10.13224/j.cnki.jasp.20210665
引用本文: 殷健宝, 邢玉明, 王仕淞, 等. 基于热网络的储能翅片管温度响应计算模型[J]. 航空动力学报, 2023, 38(10):2395-2406 doi: 10.13224/j.cnki.jasp.20210665
YIN Jianbao, XING Yuming, WANG Shisong, et al. Temperature response model of finned tube for latent heat storage based on thermal network[J]. Journal of Aerospace Power, 2023, 38(10):2395-2406 doi: 10.13224/j.cnki.jasp.20210665
Citation: YIN Jianbao, XING Yuming, WANG Shisong, et al. Temperature response model of finned tube for latent heat storage based on thermal network[J]. Journal of Aerospace Power, 2023, 38(10):2395-2406 doi: 10.13224/j.cnki.jasp.20210665

基于热网络的储能翅片管温度响应计算模型

doi: 10.13224/j.cnki.jasp.20210665
基金项目: 航空科学基金(20172851018)
详细信息
    作者简介:

    殷健宝(1997-),男,硕士生,主要从事储能技术研究

    通讯作者:

    邢玉明(1966-),男,教授、博士生导师,博士,主要从事燃烧、多相流动和储能技术研究。E-mail:xym505@126.com

  • 中图分类号: V259

Temperature response model of finned tube for latent heat storage based on thermal network

  • 摘要:

    为了解决空载高能武器储能冷却设备出口温度的快速计算问题,提出了一种二维热网络模型,用于翅片管式储能换热器在储能阶段的温度响应预测。建立了等效热阻模型,并引入了等效导热系数来考虑自然对流对相变材料融化的影响。在不同体积流量、入口温度、翅片结构和相变材料下与焓-多孔介质法模拟结果进行了对比,验证了热网络模型的准确性,石蜡类相变材料平均出口温度最大误差为0.634 K。热网络模型相比焓-多孔介质法节约了99%的计算时间,可以有效地用于复杂翅片管式储能系统的设计和优化。

     

  • 图 1  物理模型示意图和参数示意图

    Figure 1.  Physical model schematic diagram and parameter schematic diagram

    图 2  网格划分

    Figure 2.  Mesh generation

    图 3  网格无关性验证和时间步长无关性验证

    Figure 3.  Grid independent verification and time step independent verification

    图 4  数值模拟结果与文献[31]实验数据对比

    Figure 4.  Comparison between numerical simulation results and experimental results from Ref.[31]

    图 5  数值模拟结果与文献[41]实验数据对比

    Figure 5.  Comparison between numerical simulation results and experimental results from Ref.[41]

    图 6  两种热流下的固液界面的移动情况

    Figure 6.  Phase change frontier movement under two heat flows

    图 7  热网络示意图

    Figure 7.  Thermal Network diagram

    图 8  热阻计算流程图

    Figure 8.  Thermal resistance determination flow chart

    图 9  相变材料为RT35,入口温度为333 K,不同体积流量下RC法出口温度的有效性验证

    Figure 9.  Validation of RC outlet temperature at different flow rates with RT35 and inlet temperature of 333 K

    图 10  相变材料为RT35,入口温度为363 K,不同体积流量下RC法出口温度的有效性验证

    Figure 10.  Validation of RC outlet temperature at different flow rates with RT35 and inlet temperature of 363 K

    图 11  相变材料为RT35,入口温度为333 K,dfin为10 mm和5 mm,不同体积流量下RC法出口温度的有效性验证

    Figure 11.  Validation of RC outlet temperature at different flow rates with RT35, inlet temperature of 333 K and dfin of 10 mm and 5 mm

    图 12  相变材料为RT35,入口温度为333 K,体积流量为1.5 L/min,不同rmaxrfin下RC法出口温度的有效性验证

    Figure 12.  Validation of RC outlet temperature at different rmax and rfin with RT35, inlet temperature of 333 K and flow rate of 1.5 L/min

    图 13  相变材料为RT35,入口温度为333 K,体积流量为1.5 L/min,不同δfin下RC法出口温度的有效性验证

    Figure 13.  Validation of RC outlet temperature at different δfin with RT35, inlet temperature of 333 K and flow rate of 1.5 L/min

    图 14  体积流量为1.0 L/min,不同相变材料下RC法出口温度的有效性验证

    Figure 14.  Validation of RC outlet temperature using different PCM with flow rate of 1.0 L/min

    图 15  相变材料为PCM0,入口温度为323 K,不同体积流量下RC法出口温度的有效性验证

    Figure 15.  Validation of RC outlet temperature at different flow rates with PCM0 and inlet temperature of 323 K

    表  1  相变材料热物性参数

    Table  1.   PCM thermophysical parameters

    参数数值
    PCM0[32]RT27[33-34]RT35[35-36]RT42[37-38]RT58[39-40]
    ρsolidus/(kg/m3910880860880900
    ρliquidus/(kg/m31000760770760760
    cp/(J/(kg∙K))41902000200020002100
    L/(kJ/kg)334189170165180
    k/(W/(K∙m))0.60.20.20.20.2
    Tsolidus/K273298302311321
    Tliquidus/K273300309315335
    μ /(Pa∙s)0.0010.020.0230.023510.269
    β/(1/K)0.00020.00050.00060.00050.00011
    下载: 导出CSV
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  • 收稿日期:  2021-11-23
  • 网络出版日期:  2023-07-27

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