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Optimization with traffic-based control for designing standalone streetlight system: a case study

Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. Ho...

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Main Authors: Ramadhani, Farah, AbuBakar, Kamalrulnizam, Hussain, M. A., Erixno, Oon, Nazir, Refdinal
Format: Article
Published: Elsevier 2017
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/80170/
http://dx.doi.org/10.1016/j.renene.2016.12.050
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spelling my.utm.801702019-03-05T01:38:30Z http://eprints.utm.my/id/eprint/80170/ Optimization with traffic-based control for designing standalone streetlight system: a case study Ramadhani, Farah AbuBakar, Kamalrulnizam Hussain, M. A. Erixno, Oon Nazir, Refdinal TP Chemical technology Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. However, the complex design of street light supply with non-linearity of power units and uncertainty of load pattern makes optimization a challenge. This study employs genetic algorithm (GA) optimization to deal with these complex and uncertain systems. In order to optimize streetlight supply, it takes into account the energy cost for a single-objective problem and both the energy cost and supply performance for a multi-objective problem. This study also integrates traffic-based lighting control to overcome the power consumption issue in the load side affecting the optimum design of the streetlight supply. The system including real weather data, real traffic conditions and optimization algorithm are simulated using MATLAB. Based on the results, the proposed method reduces the power consumption by around 47% for a one-year simulation study. Moreover, the optimal design of streetlight supply potentially minimizes power loss by approximately 39% and energy cost by about 29%. Elsevier 2017 Article PeerReviewed Ramadhani, Farah and AbuBakar, Kamalrulnizam and Hussain, M. A. and Erixno, Oon and Nazir, Refdinal (2017) Optimization with traffic-based control for designing standalone streetlight system: a case study. Renewable Energy, 105 . pp. 149-159. ISSN 0960-1481 http://dx.doi.org/10.1016/j.renene.2016.12.050 DOI:10.1016/j.renene.2016.12.050
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Ramadhani, Farah
AbuBakar, Kamalrulnizam
Hussain, M. A.
Erixno, Oon
Nazir, Refdinal
Optimization with traffic-based control for designing standalone streetlight system: a case study
description Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. However, the complex design of street light supply with non-linearity of power units and uncertainty of load pattern makes optimization a challenge. This study employs genetic algorithm (GA) optimization to deal with these complex and uncertain systems. In order to optimize streetlight supply, it takes into account the energy cost for a single-objective problem and both the energy cost and supply performance for a multi-objective problem. This study also integrates traffic-based lighting control to overcome the power consumption issue in the load side affecting the optimum design of the streetlight supply. The system including real weather data, real traffic conditions and optimization algorithm are simulated using MATLAB. Based on the results, the proposed method reduces the power consumption by around 47% for a one-year simulation study. Moreover, the optimal design of streetlight supply potentially minimizes power loss by approximately 39% and energy cost by about 29%.
format Article
author Ramadhani, Farah
AbuBakar, Kamalrulnizam
Hussain, M. A.
Erixno, Oon
Nazir, Refdinal
author_facet Ramadhani, Farah
AbuBakar, Kamalrulnizam
Hussain, M. A.
Erixno, Oon
Nazir, Refdinal
author_sort Ramadhani, Farah
title Optimization with traffic-based control for designing standalone streetlight system: a case study
title_short Optimization with traffic-based control for designing standalone streetlight system: a case study
title_full Optimization with traffic-based control for designing standalone streetlight system: a case study
title_fullStr Optimization with traffic-based control for designing standalone streetlight system: a case study
title_full_unstemmed Optimization with traffic-based control for designing standalone streetlight system: a case study
title_sort optimization with traffic-based control for designing standalone streetlight system: a case study
publisher Elsevier
publishDate 2017
url http://eprints.utm.my/id/eprint/80170/
http://dx.doi.org/10.1016/j.renene.2016.12.050
_version_ 1643658352273653760
score 13.211869

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