Multiscale modelling of thermal conductivity in fumed silica VIPs for building energy conservation

• A highly adaptable model for analyzing and predicting the λ of complex VIP cores. • A 3D physical model to facilitate solid heat transfer modelling. • A new perspective classification of real coexisted micro- and nano-porosities for modelling. • The predicted curves are a good fit with the experimental results with <3.7 % deviation. Vacuum insulation panels (VIPs) with ultra-low thermal conductivity are widely studied for building applications to enhance energy efficiency, with fumed silica (FS) being one of the most effective core materials. However, existing analytical models are inadequate for FS due to its multiscale structure. This study develops a highly adaptable predictive model for analyzing and predicting the thermal conductivity of FS VIP cores. A three-dimensional physical model is first established to enable adaptable solid heat transfer analysis based on characterization data, such as particle diameter, porosity, and coincidence angle. A novel classification of coexisting micro- and nano-porosities is introduced to model gaseous heat transfer accurately, achieving high predictive accuracy at lower pressures. Validation results show that the predictive model performs well across different pressures. The predicted values closely match experimental data, even at near-atmospheric pressure. In the pressure range where gaseous conduction is significant ( p > 1 kPa), the model achieves an average deviation of 3.7 % and a maximum deviation of 15 %. Overall, the proposed model reliably predicts thermal conductivity, offering valuable insights for designing, manufacturing, and maintaining FS cored VIPs.

Authors

Institutions

Publication Details

Journal
Building and Environment
Published
2025-09-22
DOI
https://doi.org/10.1016/j.buildenv.2025.113759
Primary Topic
Aerogels and thermal insulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiscale modelling of thermal conductivity in fumed silica VIPs for building energy conservation

Mizi Fan, Hanyuan Chen, Ziyan Fu, Jorge Corker
Building and Environment
Aerogels and thermal insulation
article

Multiscale modelling of thermal conductivity in fumed silica VIPs for building energy conservation

Mizi Fan, Hanyuan Chen, Ziyan Fu, Jorge Corker
article en

Abstract

• A highly adaptable model for analyzing and predicting the λ of complex VIP cores. • A 3D physical model to facilitate solid heat transfer modelling. • A new perspective classification of real coexisted micro- and nano-porosities for modelling. • The predicted curves are a good fit with the experimental results with <3.7 % deviation. Vacuum insulation panels (VIPs) with ultra-low thermal conductivity are widely studied for building applications to enhance energy efficiency, with fumed silica (FS) being one of the most effective core materials. However, existing analytical models are inadequate for FS due to its multiscale structure. This study develops a highly adaptable predictive model for analyzing and predicting the thermal conductivity of FS VIP cores. A three-dimensional physical model is first established to enable adaptable solid heat transfer analysis based on characterization data, such as particle diameter, porosity, and coincidence angle. A novel classification of coexisting micro- and nano-porosities is introduced to model gaseous heat transfer accurately, achieving high predictive accuracy at lower pressures. Validation results show that the predictive model performs well across different pressures. The predicted values closely match experimental data, even at near-atmospheric pressure. In the pressure range where gaseous conduction is significant ( p > 1 kPa), the model achieves an average deviation of 3.7 % and a maximum deviation of 15 %. Overall, the proposed model reliably predicts thermal conductivity, offering valuable insights for designing, manufacturing, and maintaining FS cored VIPs.

Building and EnvironmentVol. 286
Huzhou Normal University (CN), Instituto de Telecomunicações (PT), Brunel University of London (GB)
Openalex Percentile: Top 76%
Aerogels and thermal insulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.