
Online First:10 October 2026,
Published:2026
移动端阅览
刘洋, 任如梦, 齐宏, et al. 基于微观离散结构的气凝胶光热传递机理研究[J]. 2026, 47(9): 378-386.
刘洋, 任如梦, 齐宏, et al. 基于微观离散结构的气凝胶光热传递机理研究[J]. 2026, 47(9): 378-386. DOI: 10.19912/j.0254-0096.tynxb.2025-0771.
该文采用四参数随机生长模型构建气凝胶微观结构
通过蒙特卡洛方法模拟计算板状气凝胶的太阳消光系数
并基于格子玻尔兹曼模型预测其导热系数
系统分析孔隙率和微粒直径对光热性能的影响。结果表明
孔隙率和微粒直径对太阳消光系数的影响更为显著
且孔隙率对导热系数的影响大于微粒直径
孔隙率减少约12个百分点可使导热系数减小约25%
而微粒直径变化对导热系数的影响可以忽略不计。最后
结合动态传热模型
对寒冷地区(以郑州为例)建筑能耗进行模拟
发现具有较大孔隙率和微粒直径的气凝胶玻璃可降低约34%的能耗。
This study employs the quartet structure generation set to construct the aerogel microstructure. The solar extinction coefficient of monolithic aerogel is simulated using the Monte Carlo method
and its thermal conductivity is predicted based on the Lattice Boltzmann model. The effects of porosity and particle diameter on the optical-thermal performance are systematically analyzed. The results indicate that porosity and particle diameter exert a more significant influence on the solar extinction coefficient
while porosity has a greater impact on thermal conductivity than particle diameter. Specifically
a reduction of approximately 12% in porosity leads to a reduction of about 25% in thermal conductivity
whereas the effect of particle diameter on thermal conductivity is negligible. Finally
building energy consumption in a cold region (taking Zhengzhou as an example) is simulated using a dynamic heat transfer model. It is found that aerogel glazing with larger porosity and particle diameter can reduce energy consumption by nearly 34%.
中国建筑节能协会, 重庆大学城乡建设与发展研究院. 中国建筑能耗与碳排放研究报告(2023年)[J]. 建筑, 2024(2): 46-59.
Liu Y, Chen Y M, Lu L, et al.Optical path model and energy performance optimization of aerogel glazing system filled with aerogel granules[J]. Applied Energy, 2023, 334: 120623.
温彩凤, 彭晋卿, 谭羽桐, 等. 办公建筑遮阳产品综合性能模拟与评价[J]. 太阳能学报, 2023, 44(1): 536-542.
Kim C, Kim K.Enhancement of solar thermoelectric power generation by optical and thermal management with highly transparent aerogel window[J]. Solar Energy Materials and Solar Cells, 2021, 230: 111224.
Schultz J M, Jensen K I.Evacuated aerogel glazings[J]. Vacuum, 2008, 82(7): 723-729.
Yan Y, King S C, Li M, et al.Exploring the effect of porous structure on thermal conductivity in templated mesoporous silica films[J]. The journal of physical chemistry C, 2019, 123(35): 21721-21730.
方文振, 粘权鑫, 张虎, 等. 气凝胶及其纤维复合材料等效导热系数预测[J]. 西安交通大学学报, 2015, 49(7): 25-29.
Fu Z Y, Corker J, Papathanasiou T, et al.Critical review on the thermal conductivity modelling of silica aerogel composites[J]. Journal of Building Engineering, 2022, 57: 104814.
Yu H T, Liu D, Duan Y Y, et al.Theoretical model of radiative transfer in opacified aerogel based on realistic microstructures[J]. International Journal of Heat and Mass Transfer, 2014, 70: 478-485.
Li R, Wang Z H, Dong H, et al.Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by quartet structure generation set[J]. Materials & Design, 2023, 234: 112303.
Liu Y, Lu L, Chen Y M, et al.Investigation on the optical and energy performances of different kinds of monolithic aerogel glazing systems[J]. Applied Energy, 2020, 261: 114487.
戴贵龙, 陈雪淇, 王孝宇. 玻璃孔板-多孔介质太阳能吸热器耦合传热特性研究[J]. 太阳能学报, 2025, 46(1): 704-709.
Liu Y, Qi H, Chen J Y, et al.Investigation on the influence of solar spectrum on the energy performance of aerogel glazing system[J]. Energy, 2024, 313: 133869.
Zou H C, Li C Z, Zhang A Y, et al.Light environment control for reducing energy loss and increasing crop yield in plant factories[J]. Solar Energy, 2024, 268: 112281.
Wang M R, Pan N.Modeling and prediction of the effective thermal conductivity of random open-cell porous foams[J]. International Journal of Heat and Mass Transfer, 2008, 51(5/6): 1325-1331.
王梦丽, 朱礼军, 段康俊, 等. PEMFC微孔层微结构传输现象孔尺度模拟[J]. 太阳能学报, 2025, 46(5): 29-36.
Kim Y J, Tan Y F, Kim S.Two-dimensional lattice Boltzmann modeling for effective thermal conductivity in carbon black filled composites[J]. Journal of Composite Materials, 2018, 52(15): 2047-2053.
郑思倩, 陈友明, 李宇鹏, 等. 气凝胶玻璃系统动态传热模型及能耗性能研究[J]. 太阳能学报, 2019, 40(5): 1239-1246.
Milyani A H, Al-Ebrahim M A, Attar E T, et al. Artificial intelligence optimization and experimental procedure for the effect of silicon dioxide particle size in silicon dioxide/deionized water nanofluid: preparation, stability measurement and estimate the thermal conductivity of produced mixture[J]. Journal of Materials Research and Technology, 2023, 26: 2575-2586.
Guo J J, Luo K Q, Zou W Q, et al.Enhancing mesopore volume and thermal insulation of silica aerogel via ambient pressure drying-assisted foaming method[J]. Materials, 2024, 17(11): 2641.
Liu Y, Chen Y M, Li Y P, et al.Solar extinction coefficient of silica aerogel calculated through integral model and experimental data[J]. Procedia Engineering, 2017, 205: 1253-1258.
Henning S, Svensson L.Production of silica aerogel[J]. Physica Scripta, 1981, 23(4B): 697.
0
Views
0
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621