Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146948
Title: DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING
Authors: CHOO THIAN SIONG
Keywords: surrogate models, TWEANN, design exploration, performance-based design
Issue Date: 11-Dec-2017
Citation: CHOO THIAN SIONG (2017-12-11). DYNAMIC DAYLIGHT-BASED FACADE DESIGN EXPLORATION - A REAL-TIME SYSTEM USING TWEANN BASED SURROGATE MODELLING. ScholarBank@NUS Repository.
Abstract: Dynamic daylight performance metrics are important predictive measures for daylight-based facade design exploration. Their value lies in their ability to capture the site-specific, dynamic interaction between a building, its occupants, and the surrounding climate on an annual basis. At the facade design exploration stage, dynamic daylighting performance metrics can be used by designers to guide the process of exploring facade options, including the size and position of openings as well as the configuration of additional shades and blinds. The overall goal of this research is to contribute to the development of a real-time dynamic daylight-based design exploration (RD3) method which provides real-time dynamic daylight performance feedbacks. The method developed is based on a Topology and Weight Evolving Artificial Neural Network (TWEANN) surrogate model which was identified as a potential robust solution.
URI: http://scholarbank.nus.edu.sg/handle/10635/146948
Appears in Collections:Ph.D Theses (Open)

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