网格化低温相变储热单元传热性能预测研究
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内蒙古自治区自然科学基金项目(2021MS05030)、内蒙古自治区高等学校科学研究项目(NJZY21323、NJZY19081)和内蒙古工业大学大学生创新实验计划项目(2020)


Prediction of Heat Transfer Performance of Gridding Low Temperature Phase Change Heat Storage Unit
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    摘要:

    设计了内流式网格化低温相变储热单元。确定了影响相变储热单元传热系数的关键影响因素,分析了单一因素对相变储热单元传热系数的影响规律。分别在储热及放热工况下,采用改进的多元非线性回归法构建了相变储热单元传热系数的预测模型,并检验了拟合误差。结果表明:相变储热单元传热系数受相变储热材料侧平均温度及换热工质侧定性温度的协同影响,相变储热材料侧平均温度为主要影响因素,换热工质侧定性温度为次要影响因素,两者之间具有显著的交互性。储热或放热工况下,相变储热单元传热系数随单一因素的变化规律基本一致,储热阶段传热系数明显高于放热阶段,相变储热单元传热系数预测模型的平均相对预测误差均小于5.00%。

    Abstract:

    The low temperature phase change heat storage unit with tubular internal flow gridding was designed. The key factors affecting the heat transfer coefficient of the phase change heat storage unit were determined, and the influence of single factor on the heat transfer coefficient of phase change heat storage unit was analyzed. In the case of heat storage and heat release, the prediction model of heat transfer coefficient of the phase change heat storage unit was established by using the improved multivariate nonlinear regression method, and the fitting error was tested. The results showed that the heat transfer coefficient of the phase change heat storage unit was synergistically influenced by the average temperature of the phase change heat storage material side and the qualitative temperature of the heat transfer working medium side. The average temperature of phase change heat storage material side was the main influencing factor, the qualitative temperature of heat transfer medium side was the secondary influencing factor. And there was significant interaction between the above two. In the case of heat storage or heat release, the change law of heat transfer coefficient of phase change heat storage unit with single factor was basically consistent, the heat transfer coefficient in the heat storage stage was obviously higher than that in the heat release stage. The average relative errors of the prediction model of heat transfer coefficient of phase change heat storage boxes were all less than 5.00%. Based on this study, the intelligent phase change constant temperature system configuration in agricultural greenhouses could be guided and optimized.

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郭枭,邱云峰,王亚辉,史志国,田瑞,崔瑞军.网格化低温相变储热单元传热性能预测研究[J].农业机械学报,2022,53(3):384-391. GUO Xiao, QIU Yunfeng, WANG Yahui, SHI Zhiguo, TIAN Rui, CUI Ruijun. Prediction of Heat Transfer Performance of Gridding Low Temperature Phase Change Heat Storage Unit[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(3):384-391.

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  • 收稿日期:2021-03-26
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  • 在线发布日期: 2022-03-10
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