SiO2 nanoparticles in molten LiCl-KCl eutectic for enhanced heat storage capacity: Insight from molecular dynamics with machine learning potentials

IF 6.1 2区 工程技术 Q2 ENERGY & FUELS
Fei Liang , Shaobo Xi , Jing Ding , Jianfeng Lu , Duu-Jong Lee , Shule Liu
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引用次数: 0

Abstract

The Gen 3 concentrating solar power (CSP) system, featuring a high-temperature molten chloride salt reheating device, can continuously generate electricity with high efficiency. Adding nanoparticles to molten salts can improve the suspension’s thermal conductivity and heat capacity. However, nanoparticle agglomeration can impair heat transfer and storage performance, potentially leading to device failure. This study employed molecular dynamics (MD) simulations with machine learning (ML) potentials to explore the enhancement mechanism of SiO2 nanoparticles on the thermal properties of a molten LiCl-KCl eutectic. Specific heat capacity and suspension density were monitored and compared with experiments, considering molten salt temperature, nanoparticle sizes, and loadings as control variables. Adding 13–28 Å SiO2 at 1–6% w/w increased the specific heat capacity of the molten eutectic. Interfacial adsorption of molten salt ions onto the nanoparticles created a unique microstructure, preventing particle agglomeration and enhancing inter-particle heat transport rates. While the specific surface area of nanoparticles is a primary factor in determining thermal performance, its impact diminishes with smaller nanoparticles due to agglomeration. Detailed comparisons of ion distributions around the nanoparticles revealed that strong interfacial adsorption of Li+ primarily regulates the electrical field near the interface, leading to excess surface adsorption and increased heat capacity. The molecular configurations for LiCl-KCl nanofluids were detailed and presented for the first time to suggest practical ways to enhance their heat storage performance. Strategies to minimize particle agglomeration in the molten LiCl-KCl eutectic are discussed based on the study’s conclusions.
熔融LiCl-KCl共晶中SiO2纳米颗粒增强储热能力:具有机器学习潜力的分子动力学见解
采用高温熔融氯盐再加热装置的第三代聚光太阳能(CSP)系统可以高效地连续发电。在熔盐中加入纳米粒子可以改善悬浮液的导热性和热容。然而,纳米颗粒团聚会损害传热和存储性能,潜在地导致器件失效。本研究采用分子动力学(MD)模拟和机器学习(ML)电位,探讨了SiO2纳米颗粒对熔融LiCl-KCl共晶热性能的增强机制。以熔盐温度、纳米颗粒尺寸和负载为控制变量,对比热容和悬浮密度进行了监测并与实验进行了比较。以1 ~ 6% w/w加入13 ~ 28 Å SiO2提高了熔融共晶的比热容。熔盐离子在纳米颗粒上的界面吸附形成了独特的微观结构,防止了颗粒团聚,提高了颗粒间的热传递率。虽然纳米颗粒的比表面积是决定热性能的主要因素,但由于团聚,其影响随着纳米颗粒的减小而减小。对纳米颗粒周围离子分布的详细比较表明,Li+的强界面吸附主要调节界面附近的电场,导致过量的表面吸附和热容增加。本文首次详细介绍了LiCl-KCl纳米流体的分子构型,为提高其储热性能提供了可行的方法。根据研究结论,讨论了减少熔融LiCl-KCl共晶中颗粒团聚的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Thermal Engineering
Applied Thermal Engineering 工程技术-工程:机械
CiteScore
11.30
自引率
15.60%
发文量
1474
审稿时长
57 days
期刊介绍: Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.
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