Energy Efficient Control Approach for Street Lighting

Mbongiseni Samuel Ntshangase, Hendrick Musawenkosi Langa, Tebello N. Donald Mathaba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the ever-evolving landscape of urban development, traditional street lighting proves static and energy-inefficient. This article shows an adaptive control system using LED technology, real-time traffic analysis, and ultrasonic sensors. The approach, backed by recent field studies, aims to reform the street illumination. Through thorough engineering, this paper presents a dynamic system capable of retorting to the dynamic demands of the urban environment. The system not only curtails unnecessary energy consumption and environmental impact but introduces a cost-effective model for energy savings. Leveraging state-of-the-art LED advancements, joined with the precision of real-time traffic insights, our system excels in adaptability and sustainability. The experiments conducted showcase remarkable reductions in energy consumption 29.33% compared to traditional methods and underscore the potential for widespread implementation. This article not only addresses the need for energy optimization in urban areas but marks a transformative leap towards efficient, intelligent, and eco-conscious street lighting.

Original languageEnglish
Title of host publicationInternational Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350358155
DOIs
Publication statusPublished - 2024
Event2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 - Omu-Aran, Nigeria
Duration: 2 Apr 20244 Apr 2024

Publication series

NameInternational Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

Conference

Conference2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024
Country/TerritoryNigeria
CityOmu-Aran
Period2/04/244/04/24

Keywords

  • Cost Minimization
  • Energy Usage
  • Random Variable
  • Smart Traffic Optimization
  • Ultrasonic Sensor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Computational Mathematics
  • Health Informatics
  • Instrumentation

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