Article
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This version is not peer-reviewed
Unconventional Luminaire Layout Design by Genetic Algorithms
Version 1
: Received: 2 August 2024 / Approved: 2 August 2024 / Online: 2 August 2024 (08:21:03 CEST)
How to cite: Panska, Z.; Balsky, M.; Bayer, R.; Brejcha, M. Unconventional Luminaire Layout Design by Genetic Algorithms. Preprints 2024, 2024080148. https://doi.org/10.20944/preprints202408.0148.v1 Panska, Z.; Balsky, M.; Bayer, R.; Brejcha, M. Unconventional Luminaire Layout Design by Genetic Algorithms. Preprints 2024, 2024080148. https://doi.org/10.20944/preprints202408.0148.v1
Abstract
The dominant part of energy performance of a building consists of consumption of heating and lighting. Both heating and lighting systems of buildings work at their designed efficiency for most of the buildings’ lifetimes. Interference with existing systems is costly considering replacements and construction adjustments. Therefore, considerable effort must be put into the design of these systems during the building design phase. The article is focused on luminaire layout design strategy, which affects the number of luminaires in a building and therefore their power consumption and the sustainability of the building. A genetic algorithm with radiosity implemented has been used to find suitable placements of luminaires of a single type in a model room to decrease the number of luminaires as much as possible. Three outcomes of optimal luminaire layout design are presented in this paper, including design strategy conclusions. Results of calculation outcomes are verified by software DIALux, that is commonly used for designing lighting systems.
Keywords
lighting design; genetic algorithm; luminaire layout design; luminous intensity curve
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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