NUMERICAL ANALYSIS ON HOT WATER STORAGE TANK INTEGRATED WITH PHASE CHANGE MATERIALS
NUMERICAL ANALYSIS ON HOT WATER STORAGE TANK INTEGRATED WITH PHASE CHANGE MATERIALS
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DOI：
10.2495/esus210121
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
E. J. D'Oliveira;S. C. C. Pereira-S.-C.-C.-Pereira-2147350004;U. Azimov
中科院分区：
文献类型：
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作者：
E. J. D'Oliveira;S. C. C. Pereira-S.-C.-C.-Pereira-2147350004;U. Azimov
太阳能集热器和潜热储能系统(LHTESS)的结合被用来更有效地利用太阳能，因为这项技术可以提供平衡功能，以匹配供需的变化，减少电力供应的挑战。计算流体动力学(CFD)已被证明是用于优化目的的重要数学工具；因此，它可用于验证不同的设计配置。利用有限元分析软件Ansys/FLUENT对集成太阳能集热器的相变材料(PCM)蓄能系统的热行为进行了数值模拟，并与文献中的实验数据进行了比较，以探讨蓄热介质材料的合理选择。数值模拟结果与实验结果的良好一致性验证了所提出的数值模型可用于评估不同结构形式的太阳能集热器的性能。评估的构型包括不同类型的相变材料和NEPCM(石蜡、RT64HC、蜂蜡、含1wt.%铜的RT64HC、含0.15wt.%GNPs的蜂蜡)。对数值模型进行了时间步长敏感性分析，结果表明数值模型与时间无关。结果表明，0.15wt.%的蜂蜡具有最高的水平均温度峰值，然而，集成相变材料并没有在热收益方面提供重大好处，以补偿与这些材料相关的最高成本。
The combination of solar collectors with latent heat thermal energy storage system (LHTESS) has been employed to utilise solar energy more effectively, as this technology can provide a balancing function to match the variability in supply and demand, reducing the supply challenges for electricity. Computational fluid dynamic (CFD) has been proven to be an important mathematical tool for optimisation purposes; thus, it can be used to validate different design configurations. This study aims to conduct a numerical simulation using ANSYS/Fluent to investigate the thermal behaviour of a phase change material (PCM) storage system integrated with a thermal solar collector and compare it with experimental data from the literature review, with the objective of investigating the appropriate selection of the storage media material. The good correspondence between the numerical simulation results and the experimental results validates the numerical model proposed to be used with confidence to evaluate the performance of the solar collector in different configurations. The configurations evaluated include different types of phase change materials and NEPCM (paraffin wax, RT64HC, beeswax, RT64HC with 1 wt.% of Cu, beeswax with 0.15 wt.% of GNPs). A time step sensitivity analysis was conducted and the results obtained showed that the numerical model is not time dependent. From the results obtained beeswax with 0.15 wt.% had the highest peak of the average temperature of the water, however the integration of PCMs does not offer major benefits in terms of heat gains to compensate the highest cost related to these materials.