Power consumption reduction in a remote controlled street lighting system

The objective of this research is to propose an Artificial Intelligent method to optimize the performance of street lightings. The method proposed in this research is by using the Electromagnetism-Like Mechanism (EM) global optimization algorithm. The proposed EM is designed to minimize the power consumption and maximize the life span of the lamps by different switching configurations and by adjusting the intensities of the lights. Simulation results indicate that the proposed algorithm can significantly reduce the power consumption of the system and drastically increase the projected life span of the lamps used. The main power savings can be found in the early stages of the graph. This shows that the evening sun rays and twilight help illuminate the street, rendering full intensity of street lights a waste. This, in turn, significantly prolonged the lifespan of the lamps used in the street lightings. It can thus be concluded that the proposed algorithm gives significantly positive impact in optimizing the performance of a street lighting system. The search speed and accuracies of the EM can be further improved by modifying or incorporating other search mechanism into the EM in future extension of the research.

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Smart Street Lighting System with Adafruit Cloud

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f4357.049620 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1498-1503

Keyword(s):

Power Consumption ◽

High Density ◽

Traffic Intensity ◽

Lighting System ◽

Street Lighting ◽

Reduce Power Consumption ◽

Late Night ◽

The Future ◽

Good For

Street Lights consume a lot of power overnight, even though they do not appear to. This paper describes a way to reduce that power consumption while also storing the data in the cloud. In a fast trending world, storing data on the cloud is good for better maintenance and monitoring. This paper also gives a method to control the lights remotely, if required. The lights will be ON in the evening from dusk, and will remain ON in high density traffic areas, till late night. Then, the time when traffic reduces, lights will start working autonomously. This traffic intensity and timings will vary from place to place. These street lights communicate via the fields in the cloud, and will ON the lights before the vehicle even reaches the next area, for a safe margin and to prevent accidents. The main aim of this proposal is to not only reduce power consumption of unused street lights at night, but to also implement it with the help of a cloud to get data for future implementations, which will help make a better cloud-based system in the future.

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

Bulletin of Electrical Engineering and Informatics ◽

10.11591/eei.v8i2.1527 ◽

2019 ◽

Vol 8 (2) ◽

pp. 558-568 ◽

Cited By ~ 1

Author(s):

Aziera Abdullah ◽

Siti Hajar Yusoff ◽

Syasya Azra Zaini ◽

Nur Shahida Midi ◽

Sarah Yasmin Mohamad

Keyword(s):

Power Consumption ◽

Intelligent Control ◽

Motion Detection ◽

Energy Efficient ◽

Light Emitting Diode ◽

Object Motion ◽

Infrared Sensor ◽

Lighting System ◽

Street Lighting ◽

Light Emitting

Smart street light is an intelligent control of street lights to optimize the problem of power consumption of the street, late in night. Conventional street lights are being replaced by Light Emitting Diode (LED) street lighting system, which reduces the power consumption. The focus of this project is to design a system of street lights controller to provide a reduction in power consumption. The prototype was designed by using Light Dependent Resistor (LDR), Infrared sensor (IR), battery and LED. The brightness of the lamps is being controlled in this project to reduce the power consumption. The dimming of the lamps depends on the speed of object motion detected such as pedestrians, cyclists and cars. The higher speed of moving object, the greater the level of intensity. For this idea, the innovation of street lights is not quite the same as conventional street lights that are controlled by timer switch or light sensor which automatically turns light on during sunset and off during sunrise. According to the study, motion detection devices may help to save up to 40% of energy per month.

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A New Approach to Power Consumption Reduction of Street Lighting

Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems ◽

10.5220/0005479702830287 ◽

2015 ◽

Cited By ~ 2

Author(s):

Adam Sȩdziwy ◽

Leszek Kotulski

Keyword(s):

Power Consumption ◽

New Approach ◽

Street Lighting ◽

Consumption Reduction

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Automated Solar Powered Street Lighting System with Super Capacitors

Edelweiss Applied Science and Technology ◽

10.33805/2576-8484.172 ◽

2020 ◽

pp. 1-4

Author(s):

Alvin T Dela Pena ◽

Clarissa F Quezon ◽

Christian Q Feliciano

Keyword(s):

Power Consumption ◽

Mobile Devices ◽

Hardware Design ◽

Lighting System ◽

Night Time ◽

Storage Unit ◽

Alternative Source ◽

Street Lighting ◽

Charging Time ◽

Super Capacitors

The researchers came up to conduct a study in creating a street lighting system powered up by solar panels that sustains its own power as a stand-alone system off the grid line. By analyzing the collected data regarding the power consumption of the institution where in every 15% increase in the student s population, there is 20% increase in the electric bill consumption rate, that is why the researchers continue to expand their previous study, the charging station that gives an alternative source of electrical energy for mobile devices in the institution, to consider a free energy that can be a source of light during night time, this may lessen the power consumption in the near future not only by supplying mobile devices but by also illuminating the environment of the campus. Two hardware designs were constructed and tested as an initial hardware design to control the lighting system namely; a microcontroller unit that will act as the charge controller for the storage unit and a relay module using discrete components that will also act with the same function. The study concluded that the installation of a relay module alone as the charge controller to automatically cut-off the full charge voltage and turn on the charging when voltage in the storage unit is drain enhances the power management capability and storage of the lighting system in comparison to the other design which consumes a greater amount of power in operating the sensor control unit 24/7. The charging unit that uses the super capacitors maximizes the charging time into an average of 136.567 minutes compared to the existing design that has twice of its charging time condition which is equivalent to more than six(6) hours. The researchers recommended that the Colegio de San Juan de Letran, Bataan should implement the installation of this project study, or another study for improving the hardware design components of the system which can be extended to the employees, teachers and students of the institution.

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