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A parametric study of wind catcher system to optimize daylighting performance in buildings
Pratiwi D.P.a, Ajrina Z.a, Mangkuto R.A.a, Koerniawan M.D.a
a Insitut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 and published by the Architectural Science Association (ANZAScA).Wind catcher is natural ventilation device that is commonly used in buiding in various Middle East countries, intended to work as passive cooling and ventilation system. However, the geometry of wind catcher which is an opening to the outside environment make it also potential to function as daylight distributor in buildings. This paper investigates the sensitivity of daylighting performance in building with wind catcher system based on three design input, i.e. number of gratings, chimney height, and interior tower reflectance. The sensitivity analysis is performed by linear regression and the significance of each design input can be observed by the Standard Regression Coefficient. A model of wind catcher is introduced, with various number of gratings (0 – 9), chimney height (1.5 m – 3 m), and interior tower reflectance (0.1 – 0.9). Simulation and analysis are performed for the climate of Bandung, Indonesia. Average Daylight Factor (ADF) is observed. As the result, this study unveils that the design input (number of gratings, chimney height, and interior tower reflectance) show great impact for daylighting performance in building based on simulation and analysis that has been performed.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Average Daylight Factor (ADF),Sensitivity Analysis,Wind Catcher[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]