Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method

Wind catchers are natural ventilation devices that are commonly used in buildings in various Middle East countries, intended to work as a passive cooling and ventilation system. However, the geometry of wind catchers which is an opening to the outside environment make it also potential to function a...

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Main Author: Ajrina, Zhafirah
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39641
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:39641
spelling id-itb.:396412019-06-27T12:08:12ZOptimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method Ajrina, Zhafirah Indonesia Final Project wind catchers, genetic algorithm, average daylight factor, spatial daylight autonomy, annual sunlight exposure INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/39641 Wind catchers are natural ventilation devices that are commonly used in buildings in various Middle East countries, intended to work as a passive cooling and ventilation system. However, the geometry of wind catchers which is an opening to the outside environment make it also potential to function as daylight distributor in buildings. Thus, this study aims to examine daylighting performance and visual comfort in buildings with wind catchers as daylight distributor, and to recommend some design to improve the performance. The reference geometry that has no grating with chimney height 1.5 m, and interior tower reflectance 0.5 is used to be optimized in this study. A model of wind catcher is introduced, with various number of gratings (0 - 6), the chimney height (1.5 m - 3.5 m), and interior tower reflectance (0.1 - 0.9). Climate-based daylight modelling, simulation and analysis are performed for the climate of Bandung, Indonesia. Average Daylight factor (ADF) and various climate-based metrics such as Spatial Daylight Autonomy (sDA300/50%), and Annual Sunlight Exposure (ASE1000,250) are observed. ADF is first obtained by genetic algorithm optimization method, and then the genetic value of the most optimum ADF is used to obtain the most optimum value of sDA300/50% and ASE1000,250. The most optimum metric values of each design will be given fair-weighted score to obtain the highest rank of each design categories. As the result, by changing the geometry of wind catcher in reference building to wind catcher that has no grating with chimney height 3.15 m and interior tower reflectance 0,9 show that the value of sDA300/50% and FPASHavg are increased by 16.69% and 0.214% respectively than the reference geometry design, with the same ASE1000,250 value as the reference geometry design. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Wind catchers are natural ventilation devices that are commonly used in buildings in various Middle East countries, intended to work as a passive cooling and ventilation system. However, the geometry of wind catchers which is an opening to the outside environment make it also potential to function as daylight distributor in buildings. Thus, this study aims to examine daylighting performance and visual comfort in buildings with wind catchers as daylight distributor, and to recommend some design to improve the performance. The reference geometry that has no grating with chimney height 1.5 m, and interior tower reflectance 0.5 is used to be optimized in this study. A model of wind catcher is introduced, with various number of gratings (0 - 6), the chimney height (1.5 m - 3.5 m), and interior tower reflectance (0.1 - 0.9). Climate-based daylight modelling, simulation and analysis are performed for the climate of Bandung, Indonesia. Average Daylight factor (ADF) and various climate-based metrics such as Spatial Daylight Autonomy (sDA300/50%), and Annual Sunlight Exposure (ASE1000,250) are observed. ADF is first obtained by genetic algorithm optimization method, and then the genetic value of the most optimum ADF is used to obtain the most optimum value of sDA300/50% and ASE1000,250. The most optimum metric values of each design will be given fair-weighted score to obtain the highest rank of each design categories. As the result, by changing the geometry of wind catcher in reference building to wind catcher that has no grating with chimney height 3.15 m and interior tower reflectance 0,9 show that the value of sDA300/50% and FPASHavg are increased by 16.69% and 0.214% respectively than the reference geometry design, with the same ASE1000,250 value as the reference geometry design.
format Final Project
author Ajrina, Zhafirah
spellingShingle Ajrina, Zhafirah
Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
author_facet Ajrina, Zhafirah
author_sort Ajrina, Zhafirah
title Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
title_short Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
title_full Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
title_fullStr Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
title_full_unstemmed Optimization of Wind Catcher System as Daylight Distributor in Building based on Genetic Algorithm Method
title_sort optimization of wind catcher system as daylight distributor in building based on genetic algorithm method
url https://digilib.itb.ac.id/gdl/view/39641
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