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Daylight Prediction In Individual Floors Using Well Index Cover

Daylight Prediction In Individual Floors Using Well Index

By: Mahsan Mohsenin and  Jianxin Hu  
Open Access
|Aug 2018

Abstract

This research is focused on assessing daylight performance in different floors based on the building proportion. Previous studies showed that atrium with the same Well Index (proportion) will receive the same daylight. This study aims to examine the relation between daylight in different floors of a building, using Well Index.

Using DIVA for Rhino and DesignBuilder as the optimized daylight and energy simulation tools, this paper employs Daylight Autonomy (DA) and thermal performance as measured metrics.

The research findings have demonstrated that Well Index can be a valid indicator to characterize proportion for assessing daylight at individual floors in buildings. This methodology improves the existing research method by proving that spaces with the same Well Index will have very close dynamic daylight metrics under the same condition, assumptions and material properties.

DOI: https://doi.org/10.21307/acee-2017-024 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
Language: English
Page range: 109 - 114
Submitted on: Dec 20, 2016
Accepted on: May 8, 2017
Published on: Aug 28, 2018
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Mahsan Mohsenin, Jianxin Hu, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.