
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Sensitivity Analysis for Decisive Design Parameters for Energy and Indoor Visual Performances of a Glazed Façade Office Building

doi: 10.3390/su142114163
handle: 11541.2/31888 , 10278/5017143
The large size of a glazed component allows greater access to natural light inside and a wider view of the outdoors while protecting the inside from extreme weather conditions. However, glazed components make buildings energy inefficient compared to opaque components if not designed suitably, and sometimes they create glare discomforts too. In order to protect against excessive natural light and direct sunlight and for privacy, dynamic shading devices are integrated into the glazed façade. In this study, the impact of various glazing and shading design parameters has been investigated by performing uncertainty and sensitivity analyses. The uncertainty analysis indicates that the variance coefficients for the source energy use, lighting energy use, useful daylight illuminance (UDI), and shade-deployed time fraction are in the ranges of 15.04–30.47, 39.05–45.06, 40.57–49.92, and 19.35–52%, respectively. The dispersion in the energy and indoor visual performance is evident by the large variation in the source energy consumption and UDI (500–2000), which vary in the ranges of 250–450 kWh/(m2-year) and 5–90%. Furthermore, a sensitivity analysis identified the window-to-wall ratio (WWR), aspect ratio (ASR), glazing type (Gt), absorptance of the wall (Aw), and shade transmittance (ST) as major influences of the parameters. Each of the identified parameters has a different proportionate impact depending on the façade orientation and performance parameters.
- GLA University India
- Uttaranchal University India
- Lovely Professional University India
- University of South Australia Australia
- Ca Foscari University of Venice Italy
building energy simulation; indoor visual comfort; sustainable cities; dynamic glazed façade; probability density function; sensitivity analysis, Environmental effects of industries and plants, TJ807-830, TD194-195, dynamic glazed facade, building energy simulation, Renewable energy sources, Environmental sciences, sustainable cities, building energy simulation; dynamic glazed façade; indoor visual comfort; probability density function; sensitivity analysis; sustainable cities;, sensitivity analysis, dynamic glazed façade, probability density function, GE1-350, indoor visual comfort
building energy simulation; indoor visual comfort; sustainable cities; dynamic glazed façade; probability density function; sensitivity analysis, Environmental effects of industries and plants, TJ807-830, TD194-195, dynamic glazed facade, building energy simulation, Renewable energy sources, Environmental sciences, sustainable cities, building energy simulation; dynamic glazed façade; indoor visual comfort; probability density function; sensitivity analysis; sustainable cities;, sensitivity analysis, dynamic glazed façade, probability density function, GE1-350, indoor visual comfort
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
