Enhancing the thermal performance of triple vacuum glazing with low-emittance coatings

Yueping Fang, T.J. Hyde, F. Arya, N. Hewitt, R. Wang, Y. Dai

Research output: Contribution to journalArticle

29 Citations (Scopus)
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Abstract

The thermal performance of triple vacuum glazing (TVG) with one to four internal glass surfaces coated with a low-e (emittance) coating was simulated using a finite volume model. The simulated TVG comprises three, 4 mm thick glass panes with two vacuum gaps, sealed with indium metal and separated by an array of stainless steel pillars, 0.2 mm high, 0.3 mm diameter and spaced at 25 mm. The simulation results show that decreasing the emittance of the four low-e coatings from 0.18 to 0.03 reduces the heat transmission U-values at the centre-of-glazing area from 0.41 W m−2 K−1 to 0.22 W m−2 K−1 for a 0.4 m by 0.4 m TVG rebated by 10 mm within a solid wood frame. When using three low-e coatings in the TVG in a heating dominated climate, the vacuum gap with two low-e coatings should be set facing the warm environment, while the vacuum gap with one coating should face the cold environment. When using two low-e coatings with an emittance of 0.03, the U-values at the centre-of-glazing area with one coating in both vacuum gaps is 0.25 W m−2 K−1; that with two coatings in the cold facing vacuum gap is 0.50 W m−2 K−1 and that with two low-e coatings in the warm facing vacuum gap is 0.33 W m−2 K−1. Thus setting one low-e coating in both vacuum gaps is better than setting two coatings in the same vacuum gap. The thermal performance of fabricated 0.4 m by 0.4 m TVGs with two and three low-e coatings were experimentally characterised and were found to be in very good agreement with simulation results.
Original languageEnglish
Pages (from-to)186-195
JournalEnergy and Buildings
Volume97
Issue numberJune
DOIs
Publication statusPublished - Apr 2015

Bibliographical note

Creative Commons Attribution Non-Commercial No Derivatives License

Keywords

  • Triple vacuum glazing
  • Low-emittance coating
  • Thermal performance
  • Finite volume model

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