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An optimization study of solidification procedure in a wavy- wall storage unit considering the impacts of NEPCM and curved fin

机译:考虑到NEPCM和弯曲翅片的影响的波浪壁存储单元中凝固程序的优化研究

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摘要

This study aims to develop a numerical scheme to model and optimize the solidification process within a Latent Heat Thermal Energy Storage System (LHTESS), while specific nanoparticles are employed, and the system is equipped with curved fins. Response Surface Method (RSM) has been used for fin geometry optimization to determine the optimum fin geometry configuration. In this regard, Full Solidification Time (FST) is considered as the objective function. After that, the impacts of nanoparticle dispersion on the thermal efficiency are studied using the Standard Galerkin Finite Element Method (SGFEM). The developed numerical scheme is benefited from a dynamic mesh adaptive method, which significantly improved the numerical accuracy and reduced the computational time. Results indicate that using 4% SWCNT-enhanced PCM accelerates the procedure by 40.9%. Moreover, optimization of the fin configuration causes the solidification to be completed in 1269 s, which leads to a reduction of 61.54% in FST of pure PCM. Employing optimized curved fin in the system is reported as a better enhancing approach as compared to nanoparticle addition. Results also demonstrate a more expedited procedure by reducing the temperature of the cold wall especially by considering at least 18 K temperature difference between the cold wall and PCM.
机译:本研究旨在开发一个数字方案来模拟和优化潜热热能储存系统(LHTESS)内的凝固过程,而采用特定纳米颗粒,并且该系统配备有弯曲翅片。响应曲面方法(RSM)已被用于鳍几何优化,以确定最佳鳍几何配置。在这方面,完全凝固时间(FST)被认为是目标函数。之后,使用标准的Galerkin有限元方法(SGFEM)研究了纳米颗粒分散体对热效率的影响。开发的数值方案受益于动态网格自适应方法,这显着提高了数值准确性并降低了计算时间。结果表明,使用4%SWCNT增强PCM将程序加速40.9%。此外,翅片配置的优化导致在1269秒内完成凝固,这导致纯PCM的FST中的减少61.54%。与纳米颗粒添加相比,在系统中使用优化的弯曲鳍片作为更好的增强方法。结果还通过考虑冷壁和PCM之间的至少18k温度差,减少了冷壁的温度来证明更快速的程序。

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