LED Street Lighting Research Articles

A message queuing telemetry transport (MQTT) protocol based energy-efficient smart, wireless LED street lighting solution

A message queuing telemetry transport (MQTT) protocol based energy-efficient smart, wireless LED street lighting solution

A Hybrid Handover Scheme for Vehicular VLC/RF Communication Networks.

Visible light communication (VLC) is a promising complementary technology to its radio frequency (RF) counterpart to satisfy the high quality-of-service (QoS) requirements of intelligent vehicular communications by reusing LED street lights. In this paper, a hybrid handover scheme for vehicular VLC/RF communication networks is proposed to balance QoS and handover costs by considering the vertical handover and horizontal handover together judging from the mobile state of the vehicle. A Markov decision process (MDP) is formulated to describe this hybrid handover problem, with a cost function balancing the handover consumption, delay, and reliability. A value iteration algorithm was applied to solve the optimal handover policy. The simulation results demonstrated the performance of the proposed hybrid handover scheme in comparison to other benchmark schemes.

An Intelligent Controller of LED Street Light Based on Discrete Devices

To combat global environmental deterioration and energy scarcities, it is crucial to implement energy-saving upgrades for urban road lighting. Comparatively, LEDs have emerged as an advanced and eco-friendly lighting option due to their low energy consumption, excellent performance, high color rendering index, and prolonged lifespan. By incorporating solar cell technology, a smart LED street light controller based on small-scale integrated circuits was developed to enable intelligent control for various lighting needs such as dimming, timing, automatic detection, and sound and light control. Through circuit simulations and experimental outcomes, it has been validated that the controller’s structure and performance parameters align with the design specifications. This design encompasses knowledge from diverse fields, including fundamentals of circuit and electronic technology, photovoltaic cell technology, power electronics, and sensor technology, showcasing robust engineering and practicality. Its utilization in the experimental course for second-year college students majoring in electrical engineering contributes to the grooming of professionals and expands the perspectives of future talents, enriching their application of knowledge and practical innovation capabilities.

Design and testing of a high-performance solar LED streetlight

This paper presents the development and validation of a high-performance solarpowered charging streetlight. Our controller incorporates various charging modes, including MPPT charging, constant current charging, and constant voltage charging, and the controller can automatically change the charging mode based on the battery level. The streetlight can achieve brightness adjustment through PWM adjustment. The controller turns off the streetlights once the battery voltage reaches the over-discharge protection voltage. However, turning off the streetlights inevitably results in a voltage rebound above the over-discharge protection voltage. Consequently, the streetlights enter a cycling pattern of illumination and extinguishment. We have addressed this issue by incorporating a voltage rise threshold in the controller program, effectively preventing the streetlights from cycling between illumination and extinguishment. The MCU (Micro Controller Unit) can output multiple sets of PWM waves, where each set can control the on/off state of an LED light group. Combining multiple LED groups enables the driving and control of high-power LED street lights. We designed and constructed two solar-powered LED lighting systems to demonstrate the practicality of our approach. Extensive long-term outdoor field tests validate the robust performance of our control system.

Design of Market Waste Biodigester as an Effort to Produce Renewable Energy for Climate Change Mitigation Strategy

The mismanagement of solid waste transportation to landfills contributes to various environmental issues, including increased greenhouse gas (GHG) emissions, propagation of disease vectors, aesthetic degradation, and interference with market activities. Addressing these challenges necessitates efficient waste processing at the source to mitigate waste accumulation at temporary dump sites and reduce GHG emissions. This study proposes the design of an integrated anaerobic digester at Pasar Kemiri Muka, specifically selected for its ability to convert organic waste into renewable energy. The anaerobic process is advantageous as it produces methane with a high calorific value, suitable for generating electricity. The generated electricity is then utilized to improve street lighting in the market area, which currently suffers from insufficient and poor-quality lighting. The proposed system is designed to power 14 LED street lights, requiring only 10m² for installation and incurring an operational cost of IDR 525,000. This approach not only provides a sustainable energy source but also enhances local infrastructure, contributing to a cleaner and more efficient market environment.

Arduino Based Framework for Automatic Street Light Switching and Fault Detection System

ABSTRACT- The necessity for automated street lighting systems in India is underscored by the significant potential for energy savings, crucial for a country where efficient energy use is imperative. Research indicates that implementing LED street lighting could lead to an estimated 30% reduction in energy consumption, translating to a substantial electricity saving of approximately 2,326 GWh. LED technology, known for reducing energy usage by up to 80% compared to conventional lighting, offers a greener alternative that significantly lowers electricity demand. The adoption of energy- efficient lighting systems not only aids in diminishing energy consumption but also plays a vital role in environmental preservation by reducing CO2 emissions. Furthermore, integrating automatic controls in street lights, equipped with daylight sensors and adaptive solar panels, maximizes energy efficiency. These systems tailor lighting levels to real-time environmental conditions and activity, such as the presence of vehicles, thus optimizing power usage and minimizing waste. The extended lifespan of LED lamps, reaching up to 50,000 hours, further contributes to economic savings and a decrease in maintenance frequency, supporting ongoing conservation efforts. Therefore, the implementation of automated and energy- efficient street lighting in India is a pivotal step towards attaining energy conservation, economic benefits, environmental sustainability, and enhanced urban safety. This move towards innovative and sustainable lighting solutions positions India on a path to a brighter, more sustainable future.

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

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.

Integration of LiFi, BPL, and Fiber Optic Technologies in Smart Grid Backbone Networks: A Proposal for Exploiting the LiFi LED Street Lighting Networks of Power Utilities and Smart Cities

This paper presents a proposal for extending an existing terabit-class backbone network architecture to enable the use of LiFi technology by power utilities and smart cities. The proposed architecture provides a practical means of integrating three smart grid communication technologies—fiber optics, BPL networks and LiFi LED street lighting networks—across the transmission and distribution power grids of smart cities. In addition to expanding the backbone communications network architecture, the paper provides a comprehensive overview of LiFi technology and analyzes the concept of LiFi LED street lighting networks in a smart city. The analytical investigation of the operation and performance of LiFi LED street lighting networks focuses on the following aspects: (i) typical LED street lighting configurations and default configuration parameter values encountered in smart sustainable cities; (ii) the applied LiFi channel model and corresponding default model parameters; (iii) SNR computations and LiFi channel classifications for a variety of scenarios; and (iv) available LiFi LED street lighting network architectures for integrating LiFi LED street lighting networks with the backbone network. The paper also discusses the potential benefits of LiFi LED street lighting networks for power utilities, smart cities and individuals.

Advanced and Automatic LED Street Light System with Dimming Control and Smart Sensor

Advanced and Automatic LED Street Light System with Dimming Control and Smart Sensor

Long-Term Monitoring Campaign of LED Street Lighting Systems: Focus on Photometric Performances, Maintenance and Energy Savings

The renovation of public lighting installations by replacing the traditional systems with LED technologies and introducing smart lighting control systems is a policy widely adopted to contain energy consumption and expenditure. Additionally, the long-term monitoring of the depreciation of the new lighting systems is a crucial issue. The aim of this study is to report the results of in-field measurements of new LED lighting systems in the city of Turin (Italy). A method was defined to assess: (i) energy performance (through data from the remote-control system); (ii) photometric performance (through in-field measurement campaigns); and (iii) depreciation of the photometric performance over a period of approximately 5 years. Results demonstrated that the new LED systems allow us to achieve an average energy saving of 51% compared to the ex-ante condition, improving the photometric performances and compiling the standard requirements by lowering the over-illumination levels. Moreover, the measured depreciation of the LED systems over time was compared with the predicted depreciation, estimated based on the calculation method proposed in Standards BS 5489-1:2020 and ISO/CIE TS 22012:2019. The results obtained showed that the measured depreciation of the photometric performance was closer to the predicted depreciation trend according to BS 5489-1:2020 (variations between 0% and 4%), while greater variations (between 17% and 23%) emerged considering the ISO/CIE TS 22012:2019.

Design and Implementation of a Real-Time Street Light Dimming System Based on a Hybrid Control Architecture

Smart street LED lighting systems have received much attention driven by the need to save energy and the dramatic advances in the Internet of Things. This work proposes a new smart street lighting system that adaptively changes the street lights’ intensity based on traffic and weather conditions and provides a platform for monitoring road conditions and detecting lamp faults. The system transfers the data using the UDP protocol over NBIoT radio technology. It also maintains two-way communication between the luminaires and the central node. In order to ensure real-time response to traffic and avoid dimming delays, each light is locally controlled by a microcontroller based on the sensed traffic and weather data. The measurements of each luminaire are also sent to the central control node to locate lamp faults, detect emergency situations, and, if needed, broadcast on/off messages to the whole network’s luminaires. The system was implemented in a suburban street in Ras Al Khaimah. Evaluations proved that the system can locate and detect faulty lamps and vary the light intensity in real time based on traffic. It also resulted in energy savings of up to 55% compared to a normal LED street light network.

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

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.

Developing an Integrated Soft-Switching Bidirectional DC/DC Converter for Solar-Powered LED Street Lighting

In the current era marked by the growing adoption of renewable energy sources, the use of photovoltaic-powered LED streetlights, known for their enhanced efficiency and extended lifespan, is on the rise. This lighting solution encompasses essential components such as a photovoltaic (PV) panel, an energy storage system, LED luminaires, and a controller responsible for supervising power distribution and system operations. This research introduces a novel approach involving a ZVS (zero-voltage switching) bidirectional boost converter to manage the interaction among the PV panel, LED lights, and battery storage within the system. To elevate system efficiency, a modified version of the conventional bidirectional boost converter is employed, incorporating an auxiliary circuit encompassing a capacitor, inductor, and switch. This configuration enables soft switching in both operational modes. During daytime, the converter operates in the buck mode, accumulating solar energy in the battery. Subsequently, at night, the battery discharges energy to power the LED lights through the converter’s boost operation. In this study, the PET (photo-electro-thermal) theory is harnessed, coupled with insights into heatsink characteristics and the application of a soft-switching bidirectional boost converter. This integrated approach ensures optimal driving of the LED lights at their ideal operating voltage, resulting in the generation of optimal luminous flux. The proposed LED lighting system is thoroughly examined, and theoretical outcomes are validated through simulations using the PSCAD/EMTDC version 4.2.1 software platform.

Optimizing Urban Street Lighting: A Smart Approach using IOT

Abstract: This project presents a street light detection system using Arduino, LED, LDR (Light Dependent Resistor), IR (Infrared) sensors, resistors, and a breadboard. The aim of the project is to automate street lighting based on the ambient light conditions, thereby optimizing energy consumption and enhancing safety. The system utilizes LDRs to measure the ambient light intensity and IR sensors to detect the presence of vehicles or pedestrians. The Arduino microcontroller processes the sensor inputs and controls the operation of the streetlights accordingly. The system incorporates a breadboard for easy prototyping and connectivity. Upon detecting low ambient light levels and the absence of vehicles or pedestrians, the Arduino triggers the LED street lights to turn on. Conversely, when the ambient light levels are high or a vehicle or pedestrian is detected, the Arduino instructs the LEDs to turn off, conserving energy and reducing light pollution. To ensure accurate light detection, appropriate resistors are used to calibrate the LDRs and IR sensors. This allows for precise measurement and detection thresholds, enhancing the reliability of the system.

Creating an Innovative Blueprint for Barangay Development

This study is focused on the augmentation, extension, and enrichment of knowledge pertaining to the design of a new development plan for Barangay Babuyan in Carrascal, Surigao Del Sur. The central emphasis is placed on the intricate interplay between person-environment relationships, particularly concerning the innovative facilities being designed, notably housing. Through a comprehensive approach, the researchers executed a survey in line with the guidelines established by the Municipal Planning and Development Council (MPDC) of Carrascal. As per the MPDC, the designated relocation site encompasses a total area of 100,000 square meters, with each unit boasting a floor space of 48 square meters and an accompanying lot area of 100 square meters. The proposed project involves multifaceted considerations encompassing critical elements such as road network layout, housing design, electrical and water storage tank plans, drainage systems, and provisions for open spaces. This endeavor integrates a range of methodologies including surveying, on-site investigation, data collection, formulation of a novel barangay development plan, and comprehensive cost estimations. The development of a meticulously designed plan stands as a pivotal solution that addresses various aspects of community growth. This design, projected to efficiently accommodate the entire barangay, is rooted in the observation of a positive 2.33% average population growth rate from 1990 to 2015. Furthermore, the chosen relocation site holds the advantage of being hazard-free, exhibiting low susceptibility to landslides. The newly conceptualized barangay development plan is characterized by an easily accessible road network featuring a width of 6 meters. This network is illuminated by energy-efficient 100W solar LED street lights. In tandem, the plan includes a 3.50m x 3.50m water storage tank and an 8m x 6m house design encompassing a bedroom, living area, kitchen, and shared bathroom. The culmination of this proposed study is marked by its high level of acceptance, as it fulfills the requisites set forth by the Local Government Unit (LGU) and is aligned with the aspirations of the residents

Analysis of LED street light conversions on firearm crimes in Dallas, Texas

This report analyses the effects of LED streetlight conversions on nighttime firearm crimes in Dallas, Texas. Using data from 2020 through May of 2022 on reported firearm crimes and LED conversions, using a differences-in-differences strategy (comparing trends in daytime firearm crimes compared to those at night), I find no evidence that LED conversions result in decreased nighttime firearm crimes in this sample. Code and Data to replicate the report findings can be obtained here <https://www.dropbox.com/sh/l5khtwss97relp8/AACx2TYMYCt7ICTOnKUHHtuWa?dl=0> .

Fast Frequency Support Through LED Street Lighting in Small Non-Synchronous Power Systems

Small-sized non-synchronous islands, which are inherently characterized by low system inertia, will face in the next years the challenge of integrating larger and larger amount of renewable energy sources, leading to further reduction of inertia. Several means to support inertia and frequency transients have been proposed in the literature, including energy storage systems, distributed generation, and demand response. LED street lighting systems are widespread control resources, which in a smart grid scenario, can be regulated by means of local or remote control signals. This article investigates the possibility to regulate the power consumption of LED street lighting to provide frequency support in a system characterized by reduced total inertia. Tests are carried out integrating the simulation of the non-synchronous power system of an Italian small island with the response of an actual LED street lamp, in a Power Hardware-in-the-Loop testing environment. Both synthetic inertia and fast frequency response approaches are tested and discussed.

Design Optimization of Standalone PV-Battery System for LED Street Lighting in Magetan Indonesia

The study focuses on optimizing standalone PV-battery systems for LED street lighting in Magetan Regency, Indonesia, emphasizing the importance of PV panels and lithium battery selection for energy efficiency. Minimizing energy not captured leads to effective, sustainable, and eco-friendly street lighting, reducing energy waste and promoting a greener urban environment. The optimization process involves choosing the appropriate PV panel size, battery capacity, and solar charge controller to maximize energy capture while meeting load requirements and design constraints. Solar resource assessment using PVGIS ensures system feasibility analysis. Simulation results reveal optimized PV panel peak power (200 Wp), battery capacity (1002 Wh), and a 16.67A MPPT solar charge controller. The average energy not captured is 144.21 Wh per month, showcasing the system’s efficiency. The discussion emphasizes the significance of this optimized configuration in enhancing energy capture and storage capacity, resulting in reliable and eco-friendly street lighting solutions.

UTeM Renewable Energy Showcase (URE)

UTEM Renewable Energy Showcase (URE) is setting in which something may be displayed, especially to advantage for the University when visitors visit the University. URE is the products from research at Faculty of Electrical Engineering. The URE combine between several projects such that 60W standalone photovoltaic (PV) system and standalone hybrid photovoltaic-wind generation system which is integrated solar and wind turbine. The research for 60W standalone photovoltaic (PV) system will be conducted to enhance the understanding of the design and analysis studies of the 60W standalone PV system in practical application. This system consists of photovoltaic module/panel, regulator, inverter, battery, load and support structure. The PV will generate electrical power, transmit through the wires and store in the battery. Finally, it will be utilized by the AC or DC loads. For hybrid photovoltaic-wind generation system will be conducted to study and analyzes the effectiveness of stand-alone hybrid for PV-Wind generation system. The hybrid PV-Wind is a combination of wind turbine generator and solar PV system installed at Faculty of Electrical Engineering, UTeM. It used to charge the battery and power up the LED street lighting. The both systems will be modified and maintain as a showcase for the University.

Predictive maintenance in LED street lighting controlled with telemanagement system to improve current fault detection procedures using software tools

Predicting the lifetime of LED light sources becomes quite challenging because the time to failure is long. The LM-80 and TM-21 methods are the main used by companies to establish the product lifetime. Accurate the RUL prediction can facilitate predictive maintenance. Predictive maintenance allows estimating when a failure will occur. In this context, the maintenance can be planned in advance, eliminating unplanned outage and maximizing the useful life of the equipment. In this work, the LM-80 and TM-21 methods are used for the acquisition and extrapolation of luminous flux data, wich are entered into an algorithm developed from an exponential degradation model. With the result obtained, it is possible to establish actions that allow predictive maintenance in LED street lighting controlled by a remote management system and achieve a longer service life.