一个欧勒尔数值模型来预测引力驱动的运动融过程对潜在热能储存的增强效应
Shen Tian1, Bolun Tan1, Yuchen Lin1
1Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, Tianjin 300134, China.
本研究引入了使用相变材料 (PCM) 重力驱动运动化 (GDMM) 进行潜伏热能存储 (LTES) 的新数值模型. 该模型通过模拟流体-固体合和相位过渡来提高传热和融速度.
科学领域:
- 储能 储能 储能 储能 储能 储能
- 材料科学 材料科学 材料科学
- 计算流体动力学的流体动力学.
背景情况:
- 潜伏热能储存 (LTES) 对于可再生能源的整合至关重要.
- 重力驱动运动化 (GDMM) 提高了相变材料 (PCM) 的化速度.
- 复杂的流体-固体合和相变现象需要详细的数值模拟.
研究的目的:
- 为包装PCM中GDMM开发一个简化的数值模型.
- 为了连续模拟流体-固体合和液体-固体相位过渡.
- 分析增强液相对流和固相沉积的影响.
主要方法:
- 提出了使用欧勒尔方法的简化数值模型.
- 纳入了基于固态阶段的宾汉流体假设的流体变形产应力方程.
- 与实验测量结果对模型进行了验证.
主要成果:
- 该模型成功模拟了连续的流体-固体合和相位过渡.
- 与自然对流相相比,增强的液相流动性显著改善了热传递.
- 观察并分析了固态阶段的宏观沉积.
- 重力驱动的压力差与垂直化速率成正比.
结论:
- 拟议的数值模型为研究LTES中的GDMM提供了一种可行的方法.
- 控制由重力驱动的压差提供了一种提高融速度的方法.
- 这些发现有助于优化LTES系统的设计和性能.
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