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Title: Experimental validation and model development for thermal transmittances of porous window screens and horizontal louvred blind systems

Virtually every home in the US has some form of shades, blinds, drapes, or other window attachment, but few have been designed for energy savings. In order to provide a common basis of comparison for thermal performance it is important to have validated simulation tools. This study outlines a review and validation of the ISO 15099 centre-of-glass thermal transmittance correlations for naturally ventilated cavities through measurement and detailed simulations. The focus is on the impacts of room-side ventilated cavities, such as those found with solar screens and horizontal louvred blinds. The thermal transmittance of these systems is measured experimentally, simulated using computational fluid dynamics analysis, and simulated utilizing simplified correlations from ISO 15099. Finally, correlation coefficients are proposed for the ISO 15099 algorithm that reduces the mean error between measured and simulated heat flux for typical solar screens from 16% to 3.5% and from 13% to 1% for horizontal blinds.
Authors:
 [1] ;  [1] ;  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Grant/Contract Number:
AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
Journal of Building Performance Simulation
Additional Journal Information:
Journal Volume: 11; Journal Issue: 2; Journal ID: ISSN 1940-1493
Publisher:
Taylor & Francis
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; building energy; windows; window attachment; shading; U-factor; heat transfer
OSTI Identifier:
1436628

Hart, Robert, Goudey, Howdy, and Curcija, D. Charlie. Experimental validation and model development for thermal transmittances of porous window screens and horizontal louvred blind systems. United States: N. p., Web. doi:10.1080/19401493.2017.1323010.
Hart, Robert, Goudey, Howdy, & Curcija, D. Charlie. Experimental validation and model development for thermal transmittances of porous window screens and horizontal louvred blind systems. United States. doi:10.1080/19401493.2017.1323010.
Hart, Robert, Goudey, Howdy, and Curcija, D. Charlie. 2017. "Experimental validation and model development for thermal transmittances of porous window screens and horizontal louvred blind systems". United States. doi:10.1080/19401493.2017.1323010. https://www.osti.gov/servlets/purl/1436628.
@article{osti_1436628,
title = {Experimental validation and model development for thermal transmittances of porous window screens and horizontal louvred blind systems},
author = {Hart, Robert and Goudey, Howdy and Curcija, D. Charlie},
abstractNote = {Virtually every home in the US has some form of shades, blinds, drapes, or other window attachment, but few have been designed for energy savings. In order to provide a common basis of comparison for thermal performance it is important to have validated simulation tools. This study outlines a review and validation of the ISO 15099 centre-of-glass thermal transmittance correlations for naturally ventilated cavities through measurement and detailed simulations. The focus is on the impacts of room-side ventilated cavities, such as those found with solar screens and horizontal louvred blinds. The thermal transmittance of these systems is measured experimentally, simulated using computational fluid dynamics analysis, and simulated utilizing simplified correlations from ISO 15099. Finally, correlation coefficients are proposed for the ISO 15099 algorithm that reduces the mean error between measured and simulated heat flux for typical solar screens from 16% to 3.5% and from 13% to 1% for horizontal blinds.},
doi = {10.1080/19401493.2017.1323010},
journal = {Journal of Building Performance Simulation},
number = 2,
volume = 11,
place = {United States},
year = {2017},
month = {5}
}