Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger
In an attempt to tackle the critical issue of CO2 emissions and embrace sustainability, we propose an energy-efficient street lighting system. The system offers a novel, adaptive, and decentralized dimming solution for an unlimited number of Light-Emitting Diode (LED) streetlight poles, which dynami...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000490 |
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| author | Hussain Attia Ali Al-Ataby Maen Takruri Amjad Omar |
| author_facet | Hussain Attia Ali Al-Ataby Maen Takruri Amjad Omar |
| author_sort | Hussain Attia |
| collection | DOAJ |
| description | In an attempt to tackle the critical issue of CO2 emissions and embrace sustainability, we propose an energy-efficient street lighting system. The system offers a novel, adaptive, and decentralized dimming solution for an unlimited number of Light-Emitting Diode (LED) streetlight poles, which dynamically adjusts the brightness in response to traffic and pedestrian presence. Each light pole employs motion detectors to detect street occupancy, allowing responsive illumination that improves energy efficiency without compromising safety. To demonstrate this idea, a prototype consisting of four LED light poles was developed. Additionally, we investigate how solar energy as a clean renewable source might be included in the system, offering an off-grid street lighting dimming solution. A deep artificial neural network (ANN) algorithm is designed to have an effective response of maximum power point tracking (MPPT) in terms of accuracy and speed to obtain maximum electrical power from the incident light on a pair of photovoltaic panels fixed above an off-grid street light pole. We gathered and examined data on the poles' electrical use, demonstrating the system's efficiency in cutting down on energy use, and it is concluded that the percentage of energy saving by the proposed system is 49.22 % compared to the full lighting system. Simulation results in MATLAB/Simulink show an efficient deep ANN algorithm with a mean squared error (MSE) of 3.157 × 10–5 at epoch 116 and a flexible setting to State of Charge (SOC%) based on battery specifications limits, demonstrating a steady battery charging voltage. |
| format | Article |
| id | doaj-art-e3a1abce5c6f48018bf41804e73b0fb4 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-e3a1abce5c6f48018bf41804e73b0fb42025-01-08T04:53:25ZengElsevierResults in Engineering2590-12302025-03-0125103961Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery chargerHussain Attia0Ali Al-Ataby1Maen Takruri2Amjad Omar3Department of Electrical and Electronics Engineering, School of Engineering and Computing, American University of Ras Al Khaimah, Ras Al Khaimah, UAE; Corresponding author.Department of Electrical and Electronics Engineering, School of Engineering and Computing, American University of Ras Al Khaimah, Ras Al Khaimah, UAEElectrical Engineering Department, American University of the Middle East, KuwaitDepartment of Electrical and Communication Engineering, United Arab Emirates University, Al Ain, UAEIn an attempt to tackle the critical issue of CO2 emissions and embrace sustainability, we propose an energy-efficient street lighting system. The system offers a novel, adaptive, and decentralized dimming solution for an unlimited number of Light-Emitting Diode (LED) streetlight poles, which dynamically adjusts the brightness in response to traffic and pedestrian presence. Each light pole employs motion detectors to detect street occupancy, allowing responsive illumination that improves energy efficiency without compromising safety. To demonstrate this idea, a prototype consisting of four LED light poles was developed. Additionally, we investigate how solar energy as a clean renewable source might be included in the system, offering an off-grid street lighting dimming solution. A deep artificial neural network (ANN) algorithm is designed to have an effective response of maximum power point tracking (MPPT) in terms of accuracy and speed to obtain maximum electrical power from the incident light on a pair of photovoltaic panels fixed above an off-grid street light pole. We gathered and examined data on the poles' electrical use, demonstrating the system's efficiency in cutting down on energy use, and it is concluded that the percentage of energy saving by the proposed system is 49.22 % compared to the full lighting system. Simulation results in MATLAB/Simulink show an efficient deep ANN algorithm with a mean squared error (MSE) of 3.157 × 10–5 at epoch 116 and a flexible setting to State of Charge (SOC%) based on battery specifications limits, demonstrating a steady battery charging voltage.http://www.sciencedirect.com/science/article/pii/S2590123025000490Street lighting systemLight dimmingMotion sensorLight emitting diode lampRenewable energy sourceMaximum power point tracking |
| spellingShingle | Hussain Attia Ali Al-Ataby Maen Takruri Amjad Omar Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger Results in Engineering Street lighting system Light dimming Motion sensor Light emitting diode lamp Renewable energy source Maximum power point tracking |
| title | Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger |
| title_full | Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger |
| title_fullStr | Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger |
| title_full_unstemmed | Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger |
| title_short | Decentralized control system for unlimited street lighting poles with an intelligent, energy-saving off-grid maximum power point tracking battery charger |
| title_sort | decentralized control system for unlimited street lighting poles with an intelligent energy saving off grid maximum power point tracking battery charger |
| topic | Street lighting system Light dimming Motion sensor Light emitting diode lamp Renewable energy source Maximum power point tracking |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000490 |
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