2020
DOI: 10.1016/j.indic.2020.100024
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Design optimization criteria for windows providing low energy demand in office buildings in Algeria

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Cited by 18 publications
(10 citation statements)
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“…Since windows are considered generally less energy efficient than walls, "tighter" envelopes with smaller windows are "encouraged" in energy efficiency guidelines. Most often the choice of glazing type, shading devices, orientation, and climate are the main parameters considered to define the size of the window (Badeche and Bouchahm 2020). Our research suggests that the criteria for the design of windows should give due importance to occupants' visual and psychological wellbeing (other than including further considerations not included in this study, such as circadian stimulation) ascribed to the window's provision of daylight and a view out.…”
Section: Discussionmentioning
confidence: 92%
“…Since windows are considered generally less energy efficient than walls, "tighter" envelopes with smaller windows are "encouraged" in energy efficiency guidelines. Most often the choice of glazing type, shading devices, orientation, and climate are the main parameters considered to define the size of the window (Badeche and Bouchahm 2020). Our research suggests that the criteria for the design of windows should give due importance to occupants' visual and psychological wellbeing (other than including further considerations not included in this study, such as circadian stimulation) ascribed to the window's provision of daylight and a view out.…”
Section: Discussionmentioning
confidence: 92%
“…An inter-model validation model for annual heat loss is used in this article because its numerical results are compared with previous results in the literature. Badeche and Bouchahm [29] identify the optimum window-to-wall ratio (WWR) as 40-50% for energy saving in the Mediterranean climate. Goia [30] found that a WWR between 30-40% is needed for energy saving.…”
Section: Inter-model Validation Of the Articlementioning
confidence: 99%
“…The main criteria of WWR were light density, climate, window orientation, internal gains, and building size. Xue et al [13] [16] investigated the most prominent factors towards window optimization. In semi-arid climate, window orientation was found to be the most prominent parameter.…”
Section: Analysis Of Previous Researchmentioning
confidence: 99%