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A thermocline thermal energy storage system with filler materials for concentrated solar power plants: Experimental data and numerical model sensitivity to different experimental tank scales

机译:适用于集中式太阳能发电厂的带有填料的温床热能存储系统:对不同实验水箱规模的实验数据和数值模型敏感性

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Thermocline thermal energy storage is one of the most promising, cost-effective solutions in improving concentrated solar power plant capacity factor. However, this thermal energy storage needs to be well understood; for this reason, the PROMES-CNRS laboratory built a laboratory-scale experiment. The experiment comprises a thermocline thermal energy storage tank fitted with an oil loop to heat and cool down the thermal oil flowing through the tank. The present study compares experimental results coming from the laboratory experiment but also from two large scale industrial storages already presented in the literature, with two numerical models. The 1D-1P model considers a homogeneous medium that flows through the tank, while the second one (1D-2P) distinguishes between the solid continuous medium and the fluid flowing through the void fraction. The 1D-1P model showed close agreement with experimental results when compared with industrial-size tanks, but differed markedly in the case of laboratory scale ones. The results show that the 1D-2P model is more accurate, especially for small-size tanks. Particular attention has been paid to the tank wall and to heat losses, which have a direct influence on the outlet temperature, especially for laboratory scale tanks. With these considerations, the numerical 1D-2P model can predict the thermocline behavior with accuracy, without parameter fitting process and without a high computation time. (C) 2016 Elsevier Ltd. All rights reserved.
机译:Thermocline热能存储是提高集中式太阳能发电厂容量系数的最有前途,最具成本效益的解决方案之一。然而,这种热能存储需要被很好地理解。因此,PROMES-CNRS实验室建立了实验室规模的实验。实验包括一个装有油环的温床热能储罐,以加热和冷却流经储罐的导热油。本研究比较了来自实验室实验以及来自文献中已经提出的两个大型工业存储的实验结果,以及两个数值模型。 1D-1P模型考虑流经储罐的均质介质,而第二种模型(1D-2P)则将固体连续介质与流过空隙部分的流体区分开。 1D-1P模型与工业尺寸的水箱相比,实验结果吻合得很好,但在实验室规模的水箱中却有明显的不同。结果表明,1D-2P模型更准确,特别是对于小型坦克。特别注意了罐壁和热量损失,它们直接影响出口温度,特别是对于实验室规模的罐。考虑到这些因素,数值1D-2P模型可以准确预测温跃层的行为,而无需进行参数拟合过程,也不需要大量的计算时间。 (C)2016 Elsevier Ltd.保留所有权利。

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