2023
DOI: 10.1080/01430750.2022.2157482
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Optimisation of commercial buildings envelope to reduce energy consumption and improve indoor environmental quality (IEQ) using NSGA-II algorithm

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Cited by 5 publications
(1 citation statement)
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“…Several studies have been conducted concerning the impact of windows and shading devices on building energy consumption. While it is demonstrated that a WWR of 80% would lead to high building energy efficiency, 17 in general, window shape would not affect the building energy consumption; in contrast, its position affects the light distribution, and higher‐up windows facilitate lighting the back of the room more than its center 18 . Using a genetic algorithm to optimize a building envelope for housing in Oman resulted in energy savings of around 16.56% in Salalah city (warm‐humid climate), 25.93% in Muscat (hot‐humid climate), and 28.46% in Buraimi (hot‐dry climate); the optimal window system for all these climates turned out to be single‐layer tinted glazing, with an overhang/side shading, with a depth of 50 cm 19 .…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have been conducted concerning the impact of windows and shading devices on building energy consumption. While it is demonstrated that a WWR of 80% would lead to high building energy efficiency, 17 in general, window shape would not affect the building energy consumption; in contrast, its position affects the light distribution, and higher‐up windows facilitate lighting the back of the room more than its center 18 . Using a genetic algorithm to optimize a building envelope for housing in Oman resulted in energy savings of around 16.56% in Salalah city (warm‐humid climate), 25.93% in Muscat (hot‐humid climate), and 28.46% in Buraimi (hot‐dry climate); the optimal window system for all these climates turned out to be single‐layer tinted glazing, with an overhang/side shading, with a depth of 50 cm 19 .…”
Section: Introductionmentioning
confidence: 99%