Prediction and Analysis of the Thermal Performance of Composite Vacuum Glazing

Yangjie Shi, Xiaobo Xi, Yifu Zhang, Haiyang Xu, Jianfeng Zhang and Ruihong Zhang
Additional contact information
Yangjie Shi: School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China
Xiaobo Xi: School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China
Yifu Zhang: School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China
Haiyang Xu: Yingtai Group Co., Ltd., Yangzhou 225000, China
Jianfeng Zhang: School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China
Ruihong Zhang: School of Mechanical Engineering, Yangzhou University, Yangzhou 225000, China

Energies, 2021, vol. 14, issue 18, 1-15

Abstract: In this paper, a prediction method of the heat transfer coefficient of composite vacuum glazing (CVG) is proposed. By analyzing the heat transfer process of CVG, the theoretical calculation formula for the heat transfer coefficient of CVG is established. CVG temperature variation under the test conditions specified in the national standard is simulated using ANSYS. The CVG heat transfer coefficient is calculated by combining the theoretical formula and simulation results. The simulation results are then verified by comparison to a physical experiment. The results show that the deviations between the experimental and predicted values are ?3.8%, verifying the accuracy of the simulation results and proving that the model can be used in engineering practice. Furthermore, the effects of different coating positions on the heat transfer performance of CVG are studied. The results show that different coating positions have a significant impact on the heat transfer coefficient of CVG. The heat transfer coefficient is shown to be lowest to highest under the following conditions: when the Low-E coatings are located on both sides of the vacuum layer (2LC-V), followed by Low-E coatings on the side of glass pane II near the vacuum layer (1LC-V), Low-E coatings located on the side of glass pane I near insulating layer (1LC-I), and finally, when there are no Low-E coatings (NLC) on the glass panes. Overall, this model is an effective and accurate analysis method of the heat transfer coefficient.

Keywords: vacuum glazing; insulating glazing; heat transfer coefficient; ANSYS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/18/5769/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/18/5769/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:18:p:5769-:d:634591

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().