Color Influence and Genetic Algorithm Optimization in Interior Lighting Building

Merim´e Souffo Tagueu; Benoˆıt Ndzana

doi:doi:10.11648/j.epes.20190806.14

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Color Influence and Genetic Algorithm Optimization in Interior Lighting Building

Merim´e Souffo Tagueu, Benoˆıt Ndzana

Published in American Journal of Electrical Power and Energy Systems (Volume 8, Issue 6)

Received: 28 October 2019 Accepted: 20 November 2019 Published: 30 December 2019

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Abstract

The energy consumed by the lighting of the buildings represents a not negligible part of the total energy. The use of low-energy luminaires such as LEDs has significantly reduced this consumption, in addition to the reduction of greenhouse gases and the extended life of the lamps. To satisfy the basic principles of optimal lighting system design (i.e., maximizing uniformity and reducing the level of illumination by staying within the required normative range), many researches using optimization algorithms have been conducted with interesting results. This article proposes a multi-objective optimization model integrating the influence of the colors (in particular primary colors), of the different compartments of a room on the level of total illumination of the piece. The reduction of energy consumption is demonstrated by considering a specific model of illumination in which we introduced the reflection factor related to the colors of the surrounding environment. The subsequent use of genetic algorithms (NSGA III) makes it possible to find the optimal coefficient of variation of the LEDs or any other variable luminaires to have the desired energy value while keeping the same comfort for the users. The proposed model is implemented for the case of an office room. The results show an energy savings of up to 39% with red color. Of particular, results are obtained while maintaining regular illumination and changing the color of the pieces.

Published in	American Journal of Electrical Power and Energy Systems (Volume 8, Issue 6)
DOI	10.11648/j.epes.20190806.14
Page(s)	165-175
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Illumination, Multi-objective Optimization, Color, NSGA III, Energy Savings

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APA Style

Merim´e Souffo Tagueu, Benoˆıt Ndzana. (2019). Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. American Journal of Electrical Power and Energy Systems, 8(6), 165-175. https://doi.org/10.11648/j.epes.20190806.14

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ACS Style

Merim´e Souffo Tagueu; Benoˆıt Ndzana. Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. Am. J. Electr. Power Energy Syst. 2019, 8(6), 165-175. doi: 10.11648/j.epes.20190806.14

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AMA Style

Merim´e Souffo Tagueu, Benoˆıt Ndzana. Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. Am J Electr Power Energy Syst. 2019;8(6):165-175. doi: 10.11648/j.epes.20190806.14

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@article{10.11648/j.epes.20190806.14,
  author = {Merim´e Souffo Tagueu and Benoˆıt Ndzana},
  title = {Color Influence and Genetic Algorithm Optimization in Interior Lighting Building},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {8},
  number = {6},
  pages = {165-175},
  doi = {10.11648/j.epes.20190806.14},
  url = {https://doi.org/10.11648/j.epes.20190806.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190806.14},
  abstract = {The energy consumed by the lighting of the buildings represents a not negligible part of the total energy. The use of low-energy luminaires such as LEDs has significantly reduced this consumption, in addition to the reduction of greenhouse gases and the extended life of the lamps. To satisfy the basic principles of optimal lighting system design (i.e., maximizing uniformity and reducing the level of illumination by staying within the required normative range), many researches using optimization algorithms have been conducted with interesting results. This article proposes a multi-objective optimization model integrating the influence of the colors (in particular primary colors), of the different compartments of a room on the level of total illumination of the piece. The reduction of energy consumption is demonstrated by considering a specific model of illumination in which we introduced the reflection factor related to the colors of the surrounding environment. The subsequent use of genetic algorithms (NSGA III) makes it possible to find the optimal coefficient of variation of the LEDs or any other variable luminaires to have the desired energy value while keeping the same comfort for the users. The proposed model is implemented for the case of an office room. The results show an energy savings of up to 39% with red color. Of particular, results are obtained while maintaining regular illumination and changing the color of the pieces.},
 year = {2019}
}

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TY  - JOUR
T1  - Color Influence and Genetic Algorithm Optimization in Interior Lighting Building
AU  - Merim´e Souffo Tagueu
AU  - Benoˆıt Ndzana
Y1  - 2019/12/30
PY  - 2019
N1  - https://doi.org/10.11648/j.epes.20190806.14
DO  - 10.11648/j.epes.20190806.14
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 165
EP  - 175
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20190806.14
AB  - The energy consumed by the lighting of the buildings represents a not negligible part of the total energy. The use of low-energy luminaires such as LEDs has significantly reduced this consumption, in addition to the reduction of greenhouse gases and the extended life of the lamps. To satisfy the basic principles of optimal lighting system design (i.e., maximizing uniformity and reducing the level of illumination by staying within the required normative range), many researches using optimization algorithms have been conducted with interesting results. This article proposes a multi-objective optimization model integrating the influence of the colors (in particular primary colors), of the different compartments of a room on the level of total illumination of the piece. The reduction of energy consumption is demonstrated by considering a specific model of illumination in which we introduced the reflection factor related to the colors of the surrounding environment. The subsequent use of genetic algorithms (NSGA III) makes it possible to find the optimal coefficient of variation of the LEDs or any other variable luminaires to have the desired energy value while keeping the same comfort for the users. The proposed model is implemented for the case of an office room. The results show an energy savings of up to 39% with red color. Of particular, results are obtained while maintaining regular illumination and changing the color of the pieces.
VL  - 8
IS  - 6
ER  -

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Merim´e Souffo Tagueu
Benoˆıt Ndzana

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APA Style

Merim´e Souffo Tagueu, Benoˆıt Ndzana. (2019). Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. American Journal of Electrical Power and Energy Systems, 8(6), 165-175. https://doi.org/10.11648/j.epes.20190806.14

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ACS Style

Merim´e Souffo Tagueu; Benoˆıt Ndzana. Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. Am. J. Electr. Power Energy Syst. 2019, 8(6), 165-175. doi: 10.11648/j.epes.20190806.14

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AMA Style

Merim´e Souffo Tagueu, Benoˆıt Ndzana. Color Influence and Genetic Algorithm Optimization in Interior Lighting Building. Am J Electr Power Energy Syst. 2019;8(6):165-175. doi: 10.11648/j.epes.20190806.14

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@article{10.11648/j.epes.20190806.14,
  author = {Merim´e Souffo Tagueu and Benoˆıt Ndzana},
  title = {Color Influence and Genetic Algorithm Optimization in Interior Lighting Building},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {8},
  number = {6},
  pages = {165-175},
  doi = {10.11648/j.epes.20190806.14},
  url = {https://doi.org/10.11648/j.epes.20190806.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20190806.14},
  abstract = {The energy consumed by the lighting of the buildings represents a not negligible part of the total energy. The use of low-energy luminaires such as LEDs has significantly reduced this consumption, in addition to the reduction of greenhouse gases and the extended life of the lamps. To satisfy the basic principles of optimal lighting system design (i.e., maximizing uniformity and reducing the level of illumination by staying within the required normative range), many researches using optimization algorithms have been conducted with interesting results. This article proposes a multi-objective optimization model integrating the influence of the colors (in particular primary colors), of the different compartments of a room on the level of total illumination of the piece. The reduction of energy consumption is demonstrated by considering a specific model of illumination in which we introduced the reflection factor related to the colors of the surrounding environment. The subsequent use of genetic algorithms (NSGA III) makes it possible to find the optimal coefficient of variation of the LEDs or any other variable luminaires to have the desired energy value while keeping the same comfort for the users. The proposed model is implemented for the case of an office room. The results show an energy savings of up to 39% with red color. Of particular, results are obtained while maintaining regular illumination and changing the color of the pieces.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Color Influence and Genetic Algorithm Optimization in Interior Lighting Building
AU  - Merim´e Souffo Tagueu
AU  - Benoˆıt Ndzana
Y1  - 2019/12/30
PY  - 2019
N1  - https://doi.org/10.11648/j.epes.20190806.14
DO  - 10.11648/j.epes.20190806.14
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 165
EP  - 175
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20190806.14
AB  - The energy consumed by the lighting of the buildings represents a not negligible part of the total energy. The use of low-energy luminaires such as LEDs has significantly reduced this consumption, in addition to the reduction of greenhouse gases and the extended life of the lamps. To satisfy the basic principles of optimal lighting system design (i.e., maximizing uniformity and reducing the level of illumination by staying within the required normative range), many researches using optimization algorithms have been conducted with interesting results. This article proposes a multi-objective optimization model integrating the influence of the colors (in particular primary colors), of the different compartments of a room on the level of total illumination of the piece. The reduction of energy consumption is demonstrated by considering a specific model of illumination in which we introduced the reflection factor related to the colors of the surrounding environment. The subsequent use of genetic algorithms (NSGA III) makes it possible to find the optimal coefficient of variation of the LEDs or any other variable luminaires to have the desired energy value while keeping the same comfort for the users. The proposed model is implemented for the case of an office room. The results show an energy savings of up to 39% with red color. Of particular, results are obtained while maintaining regular illumination and changing the color of the pieces.
VL  - 8
IS  - 6
ER  -

Copy | Download