4.6 Article

Parametric Design Structures in Low Rise Buildings in Relation to the Urban Context in UAE

Journal

SUSTAINABILITY
Volume 13, Issue 15, Pages -

Publisher

MDPI
DOI: 10.3390/su13158595

Keywords

energy in buildings; parametric structure; BIPV (building integrated photovoltaics); ROI (return of investment); OTC (outdoor thermal comfort)

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The city of Al Ain in the UAE consists mainly of low-rise residential buildings, with villas playing a significant role in the residential areas due to the harsh climate. This study focuses on analyzing the effectiveness of a parametric shading structure in reducing cooling loads on a selected villa, using local data and following a six-step process. The results show a promising 10% reduction in cooling load with improved thermal comfort, indicating potential in the retrofit industry.
The city of Al Ain (Abu Dhabi, UAE) has a mainly low rise residential buildings. Villas as part of a compound or separate units represent the majority of the residential areas in the city. Due to the harsh hot arid climate of Al Ain, the energy demand for the cooling load is quite high. Therefore, it is relevant finding new retrofit strategies that are efficient in reducing the cooling load of the villas. The aim of this study is to analyze one particular strategy (parametric shading structure) in terms of design, construction, cost, energy impact on the selected villa. The main data for this study is taken from the local sources. There are six steps followed in this analysis: case study analysis; climate analysis; parametric structure and PV panels; building energy consumption and outdoor thermal comfort; modelling, simulation, and validation; materials, construction, and cost evaluation. The model of the villa was validated for the full year 2020 based on the electricity bills obtained. After adding the parametric design structure, the reduction after shading is approximately 10%. Meanwhile the UTCI (Universal Thermal Climate Index) dropped from extreme heat stress to strong heat stress (average for the month of March and September). These findings are promising in the retrofit industry due to the advanced calculations used to optimize the parametric design structure.

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