LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING
<p align="justify">Reflector design for various lighting cases has grown in for years. Various reflector shapes have been invented, including elliptical faceted reflector. Various methods for designing reflector have been proposed, however most of them are still inefficient due to li...
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id-itb.:249772018-09-26T11:46:49ZLUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING Khresna Pustiadi (13314049), Bagas Aulia Kautsar (13314075), Adhe Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24977 <p align="justify">Reflector design for various lighting cases has grown in for years. Various reflector shapes have been invented, including elliptical faceted reflector. Various methods for designing reflector have been proposed, however most of them are still inefficient due to limited computational resources. To address this problem, many researchers perform optimization using evolution method, including genetic algorithm, which has been proved as one of the most efficient optimization method. One of the applications of reflector design optimization is luminaire reflector design for road lighting. Aim of this final project is to determine optimized luminaire reflector design for road lighting with genetic algorithm method. Objectives of this final project are to determine optimized design parameter values of each elliptical facet in the form of θ angle, φ angle, semi-latus rectum (d), and eccentricity (e) to meet average illumination (Eav) and longitudinal uniformity (Ul) prescribed in Indonesian national standard. <br /> <br /> In this final project, reflector design was performed using one-to-one mapping. Each measurement point on the road surfaces receives illumination contribution from one unique elliptical faceted reflector with different design parameter values, while the reflector design optimization was conducted using genetic algorithm method. The final results of the design was examined and compared to reference design parameters based on criteria prescribed in Indonesian national standard, after which the two-dimensional model and the polar diagram were observed. <br /> <br /> Based on optimization design results, it is found that optimized parameter values are in range of 0° <θ < 43.141°, 0° <φ < 85.001°, 0.517 m < d < 0.659 m, and 0.951 < e < 0.989, and results in average illumination and longitudinal uniformity criterion which have met the standard.<p align="justify"> <br /> text |
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<p align="justify">Reflector design for various lighting cases has grown in for years. Various reflector shapes have been invented, including elliptical faceted reflector. Various methods for designing reflector have been proposed, however most of them are still inefficient due to limited computational resources. To address this problem, many researchers perform optimization using evolution method, including genetic algorithm, which has been proved as one of the most efficient optimization method. One of the applications of reflector design optimization is luminaire reflector design for road lighting. Aim of this final project is to determine optimized luminaire reflector design for road lighting with genetic algorithm method. Objectives of this final project are to determine optimized design parameter values of each elliptical facet in the form of θ angle, φ angle, semi-latus rectum (d), and eccentricity (e) to meet average illumination (Eav) and longitudinal uniformity (Ul) prescribed in Indonesian national standard. <br />
<br />
In this final project, reflector design was performed using one-to-one mapping. Each measurement point on the road surfaces receives illumination contribution from one unique elliptical faceted reflector with different design parameter values, while the reflector design optimization was conducted using genetic algorithm method. The final results of the design was examined and compared to reference design parameters based on criteria prescribed in Indonesian national standard, after which the two-dimensional model and the polar diagram were observed. <br />
<br />
Based on optimization design results, it is found that optimized parameter values are in range of 0° <θ < 43.141°, 0° <φ < 85.001°, 0.517 m < d < 0.659 m, and 0.951 < e < 0.989, and results in average illumination and longitudinal uniformity criterion which have met the standard.<p align="justify"> <br />
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format |
Final Project |
author |
Khresna Pustiadi (13314049), Bagas Aulia Kautsar (13314075), Adhe |
spellingShingle |
Khresna Pustiadi (13314049), Bagas Aulia Kautsar (13314075), Adhe LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
author_facet |
Khresna Pustiadi (13314049), Bagas Aulia Kautsar (13314075), Adhe |
author_sort |
Khresna Pustiadi (13314049), Bagas Aulia Kautsar (13314075), Adhe |
title |
LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
title_short |
LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
title_full |
LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
title_fullStr |
LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
title_full_unstemmed |
LUMINAIRE REFLECTOR DESIGN OPTIMIZATION WITH GENETIC ALGORITHM METHOD FOR HIGHWAY LIGHTING |
title_sort |
luminaire reflector design optimization with genetic algorithm method for highway lighting |
url |
https://digilib.itb.ac.id/gdl/view/24977 |
_version_ |
1822020554772709376 |