Assessing the Energy-Saving Potential and Visual Comfort of Electrochromic Smart Windows in Office Buildings: A Case Study in Dhahran, Saudi Arabia

Budaiwi, I.; Fasi, Mohammed Abdul

doi:10.3390/su15129632

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…The double-glazed windows built in PB can withstand the radiation impact of sunshine better than the single-glazed windows installed in RB, resulting in 7% lower window inner surface temperature in PB than in RB. In addition to double-glazed windows, highly advanced smart windows like electrochromic (EC) windows are gaining popularity and are reported to have significant potential for energy savings and a comfortable environment for people to see outside of a structure [65]. They are made of materials that can be easily switched between a transparent state and a state that is opaque, translucent, and reflective and can be used to regulate the flow of light and radiant heat into or out of a building or other space.…”

Section: Discussionmentioning

confidence: 99%

Tropically Adapted Passive Building: A Descriptive-Analytical Approach Using Multiple Linear Regression and Probability Models to Predict Indoor Temperature

Salleh,

Suleiman,

Daud

et al. 2023

Sustainability

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The quest for energy efficiency in buildings has placed a demand for designing and modeling energy-efficient buildings. In this study, the thermal energy performance of a tropically adapted passive building was investigated in the warm tropical climate of Malaysia. Two mock-up buildings were built to represent a “green”, made of clay brick double-glazed passive building and a conventional, made of concrete “red” building. The mean indoor temperature of the passive building was found to be always lower than that of the red building throughout the experiment during different weather constellations. Our research builds upon existing work in the field by combining multiple linear regression models and distribution models to provide a comprehensive analysis of the factors affecting the indoor temperature of a building. The results from the fitted multiple linear regression models indicate that walls and windows are critical components that considerably influence the indoor temperature of both passive buildings and red buildings, with the exception of passive buildings during the hot season, where the roof has a greater influence than the window. Furthermore, the goodness-of-fit test results of the mean indoor temperature revealed that the Fréchet and Logistic probability models fitted the experimental data in both cold and hot seasons. It is intended that the findings of this study would help tropical countries to devise comfortable, cost-effective passive buildings that are green and energy efficient to mitigate global warming.

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Section: Discussionmentioning

confidence: 99%