Difference between revisions of "View-Based Luminance Mapping in Open Workplace"

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=Keywords=
 
=Keywords=
 
[[View]], [[Luminance]], [[Facade Design]], [[Open Workplace]]
 
[[View]], [[Luminance]], [[Facade Design]], [[Open Workplace]]
 
=Reference=
 
DOI: https://doi.org/10.47330/DCIO.2022.FLXI8620
 
  
 
=Bibliography=
 
=Bibliography=

Revision as of 10:11, 21 March 2023

DCIO2022-Logo.png
DC I/O 2022 Paper by Guanzhou Ji, Tingsong Ou and Azadeh Sawyer. https://doi.org/10.47330/DCIO.2022.FLXI8620 | Left | Left


DCIO2022 S1-4 G-Ji.png


Abstract

This paper introduces a novel computational method for mapping indoor luminance values to the facade of an open workplace to improve its daylight performance. 180-degree fisheye renderings from different locations, view positions, and times of the year are created. These renderings are then transformed from two-dimensional (2D) images into three-dimensional (3D) hemispheres. High luminance values are filtered and projected from the hemisphere to the facade design. This framework will highlight the areas of the facade that allow too much light penetration into the interior environment. This study introduces a flexible framework that allows for an occupant-centric lighting analysis to compute multiple design parameters and synthesize results based on luminance values mapped on the facade design for localized performance optimization to improve facade performance.

Keywords

View, Luminance, Facade Design, Open Workplace

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