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带有纳米增强相变材料的翅片锥形热储能系统的热充电性能。

The Thermal Charging Performance of Finned Conical Thermal Storage System Filled with Nano-Enhanced Phase Change Material.

机构信息

Metamaterials for Mechanical, Biomechanical and Multiphysical Applications Research Group, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam.

Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City 758307, Vietnam.

出版信息

Molecules. 2021 Mar 14;26(6):1605. doi: 10.3390/molecules26061605.

Abstract

A latent heat thermal energy storage (LHTES) unit can store a notable amount of heat in a compact volume. However, the charging time could be tediously long due to weak heat transfer. Thus, an improvement of heat transfer and a reduction in charging time is an essential task. The present research aims to improve the thermal charging of a conical shell-tube LHTES unit by optimizing the shell-shape and fin-inclination angle in the presence of nanoadditives. The governing equations for the natural convection heat transfer and phase change heat transfer are written as partial differential equations. The finite element method is applied to solve the equations numerically. The Taguchi optimization approach is then invoked to optimize the fin-inclination angle, shell aspect ratio, and the type and volume fraction of nanoparticles. The results showed that the shell-aspect ratio and fin inclination angle are the most important design parameters influencing the charging time. The charging time could be changed by 40% by variation of design parameters. Interestingly a conical shell with a small radius at the bottom and a large radius at the top (small aspect ratio) is the best shell design. However, a too-small aspect ratio could entrap the liquid-PCM between fins and increase the charging time. An optimum volume fraction of 4% is found for nanoparticle concentration.

摘要

潜热热能存储 (LHTES) 单元可以在紧凑的体积中存储大量的热量。然而,由于热传递较弱,充电时间可能会非常长。因此,提高热传递和缩短充电时间是一项重要任务。本研究旨在通过优化壳型和翅片倾斜角来改善锥形壳管式 LHTES 单元的热充电性能,并在存在纳米添加剂的情况下进行优化。自然对流换热和相变换热的控制方程被写成偏微分方程。有限元法被应用于数值求解方程。然后,田口优化方法被用来优化翅片倾斜角、壳型比和纳米颗粒的类型和体积分数。结果表明,壳型比和翅片倾斜角是影响充电时间的最重要的设计参数。通过改变设计参数,充电时间可以改变 40%。有趣的是,底部半径小而顶部半径大的锥形壳(小壳型比)是最好的壳型设计。然而,太小的壳型比可能会将液体-PCM 困在翅片之间,从而增加充电时间。发现纳米颗粒浓度的最佳体积分数为 4%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ef/8001567/969f3b1e5bed/molecules-26-01605-g001.jpg

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