Volume 8, Issue 6, November 2019, Page: 165-175
Color Influence and Genetic Algorithm Optimization in Interior Lighting Building
Merim´e Souffo Tagueu, Laboratoire de G´enie Electrique, M´catronique et Traitement du Signal, National Advanced School of Engineering, University of Yaound´e I, Yaound´e, Cameroon
Benoˆıt Ndzana, Laboratoire de G´enie Electrique, M´catronique et Traitement du Signal, National Advanced School of Engineering, University of Yaound´e I, Yaound´e, Cameroon
Received: Oct. 28, 2019;       Accepted: Nov. 20, 2019;       Published: Dec. 30, 2019
DOI: 10.11648/j.epes.20190806.14      View  446      Downloads  174
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.
Illumination, Multi-objective Optimization, Color, NSGA III, Energy Savings
To cite this article
Merim´e Souffo Tagueu, Benoˆıt Ndzana, Color Influence and Genetic Algorithm Optimization in Interior Lighting Building, American Journal of Electrical Power and Energy Systems. Vol. 8, No. 6, 2019, pp. 165-175. doi: 10.11648/j.epes.20190806.14
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This article 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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