Energy efficient smart street light for smart city using sensors and controller

Abdullah, Aziera; Yusoff, Siti Hajar; Zaini, Syasya Azra; Midi, Nur Shahida; Mohamad, Sarah Yasmin

doi:10.11591/eei.v8i2.1527

Cited by 20 publications

(8 citation statements)

References 11 publications

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“…The light and darkness of the lights depended on the speed of the detected object movement. The results showed that the system had a good energy-saving effect [14] .…”

Section: Related Workmentioning

confidence: 98%

Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control

Weng

2023

EAI Endorsed Trans Energy Web

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As road traffic develops, energy-saving and efficient street lights have become a key research field for relevant professionals. To reduce street lights energy consumption, a fireworks algorithm is used to optimize the membership function parameters of fuzzy control and the initial parameters of PI control. A fireworks algorithm improved adaptive fuzzy PI solar LED street light control system is designed. The results showed that in the calculation of Root-mean-square deviation and Mean absolute error, the Root-mean-square deviation of the adaptive fuzzy PI control system improved by the fireworks algorithm was 0.213, 0.258, 0.243, 0.220, and the Mean absolute error was 0.143, 0.152, 0.154, 0.139, respectively, which proved that the prediction accuracy was high and the stability was good. In the calculation of the 1-day power consumption of the solar LED intelligent control system, the average power consumption of the designed solar LED intelligent control system was about 2000W, which was 25.9%, 47.4%, and 42.9% lower than the other three control methods, respectively. This proves that its energy consumption is low, and its heat generation is low, and the battery service life is long. The research and design of an adaptive fuzzy PI control solar LED street light intelligent control system has good performance, which can effectively achieve intelligent management and energy conservation and emission reduction in smart cities.

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“…The light and darkness of the lights depended on the speed of the detected object movement. The results showed that the system had a good energy-saving effect [14] .…”

Section: Related Workmentioning

confidence: 98%

Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control

Weng

2023

EAI Endorsed Trans Energy Web

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“…By crafting a miniature replica of a smart LED streetlight system and implementing sensor-based dimming technology, experimental insights into light-dimming controls can be garnered [16,17]. Moreover, time-based dimming experiments can offer valuable insights into the energy efficiency correlated with streetlight operations [18,19].…”

Section: Literary Reviewmentioning

confidence: 99%

Simulation-Based Analysis for Verifying New Certification Standards of Smart LED Streetlight Systems

Cho,

Seo,

Yun

et al. 2024

Mathematics

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The need for certification standards for new convergence products, such as a smart LED streetlight system, has been identified as a critical issue. This study proposes simulation modeling for smart LED streetlight systems and suggests three certification standards: the minimum time to initiate dimming-up, the duration of the dimming-up period, and the number of concurrently controlled streetlights. We utilized Relux to model streetlights and roads in terms of luminance levels, and used analytical formulas to compute the braking distances of oncoming vehicles. The two models were integrated into a smart LED streetlight system model using Simio. Simulation experiments were conducted with two objectives: to provide certification standards, and to apply and verify them in real-world cases. We experimented with 630 scenarios, modeling various dynamic situations involving roads and vehicles, and applied the model to two actual roads in the Republic of Korea to test its validity. The model was subsequently applied to roads for which traffic-volume data were available, to determine potential energy savings. The proposed simulation method can be applied to a smart LED streetlight system and to new products that lack certification standards. Furthermore, the proposed certification standards offer alternative approaches to operating streetlight systems more efficiently.

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“…In this scheme, brightness adjusts based on user presence, turning lamps ON as users approach and dimming them afterwards [67,[69][70][71]. The optimization of this light scheme can be furthered by measuring speed, such as calculating the average speed between two IR sensors, allowing for the categorization of road users and the application of suitable zoning light profiles [72].…”

Section: Simple Rule-based Controlmentioning

confidence: 99%

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

Agramelal,

Sadik,

Moubarak

et al. 2023

Energies

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As urbanization increases, streetlights have become significant consumers of electrical power, making it imperative to develop effective control methods for sustainability. This paper offers a comprehensive review on control methods of smart streetlight systems, setting itself apart by introducing a novel light scheme framework that provides a structured classification of various light control patterns, thus filling an existing gap in the literature. Unlike previous studies, this work dives into the technical specifics of individual research papers and methodologies, ranging from basic to advanced control methods like computer vision and deep learning, while also assessing the energy consumption associated with each approach. Additionally, the paper expands the discussion to explore alternative functionalities for streetlights, such as serving as communication networks, environmental monitors, and electric vehicle charging stations. This multidisciplinary research aims to be a pivotal resource for both academics and industry professionals, laying the groundwork for future innovation and sustainable solutions in urban lighting.

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Energy efficient smart street light for smart city using sensors and controller

Cited by 20 publications

References 11 publications

Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control

Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control

Simulation-Based Analysis for Verifying New Certification Standards of Smart LED Streetlight Systems

Smart Street Light Control: A Review on Methods, Innovations, and Extended Applications

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