OPTIMIZATION OF ATRIUM AND FAÃADE DESIGN FOR DAYLIGHTING PERFORMANCE IN OFFICE BUILDINGS
Atrium is an open area in a building where generally various toplighting systems are installed. Atrium in a building has many functions, including but not limited to commercial areas, visitor circulation areas, as well as distributing daylight to the atrium’s surroundings. The use of atrium and skyl...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/56977 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Atrium is an open area in a building where generally various toplighting systems are installed. Atrium in a building has many functions, including but not limited to commercial areas, visitor circulation areas, as well as distributing daylight to the atrium’s surroundings. The use of atrium and skylight systems in the context of Indonesia's location at the equator provides the opportunity to introduce more daylight to buildings throughout the year, which gives plenty of benefits for its residents, such as overcoming office fatigue and increasing focus and productivity. However, excessive daylight has a risk to cause glare and excessive heat in the building.
This study is conducted to obtain optimal daylighting performance based on LEED v4 2013 standard (revision 2017). The atrium building model and daylight performance are simulated using Honeybee[+] plugin in Rhinoceros 6 and Grasshopper software. This study focuses on three design parameters: perimeter distance of the building to the atrium between 10-20 m, WWR between 0.3-0.7, and window VT between of 0.3-0.7. Those variables are varied to maximize sDA300/50% while also to minimize ASE1000,250. WWR has a high correlation with ASE1000,250 while window VT has a high correlation with sDA300/50%. K-Nearest Neighbor classifier engine is applied to predict the data acceptable by LEED standard. The optimal solution is obtained using Pareto front multi-objective optimization. After optimizing the design parameters, there are six Pareto optimal solutions with the most preferred solution is a combination of 15 m perimeter to atrium distance, 0.3 WWR, and 0.7 window VT. |
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