A Novel Method Combining HDR Imaging and RADIANCE for Indoor Daylight Simulation in Urban Context

碩士 === 國立臺灣科技大學 === 建築系 === 102 === Lighting is the most essential element of building energy consumption. Aesthetically and sustainably good lighting design requires the combination of maximizing the daylight availability and minimizing artificial lighting, which in turn greatly reduce the energy c...

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Bibliographic Details
Main Authors: Pei-Chung Huang, 黃珮中
Other Authors: Yun-Shang Chiou
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/99376366053129838574
Description
Summary:碩士 === 國立臺灣科技大學 === 建築系 === 102 === Lighting is the most essential element of building energy consumption. Aesthetically and sustainably good lighting design requires the combination of maximizing the daylight availability and minimizing artificial lighting, which in turn greatly reduce the energy consumption. Lighting simulation can be an effective method to predict the outcome of a design. A quick and accurate simulation method becomes a necessity for designers and architects. The objective of this thesis is to develop and validate a novel method for indoor daylight simulation with commercially available tools. This method incorporates and strings several techniques and devices that has been scientifically proven or validated, such as the capturing, processing and analyzing of high dynamic range (HDR) images, the shadow-ring apparatus, the method of acquiring material properties, and RADIANCE simulation tool. The aim of this novel method is to provide a quick and accurate tool for both the architectural designers and researchers. The results indicate the significance of utilizing correct method of correcting the sky distribution and how of material properties are acquired, which may improve the simulation outcome by maximum of 29% and 20%, respectively. Most importantly, the method of simulating with skydome image and virtual surroundings proves to be effective, improving the performance of simulations from 5-23%, depending on the surrounding contexts’ complexity. The proposed simulation method is plausible.