Proposed Design and Implementation Guidelines for Energy Efficient Smart Street Lighting: A Malaysian Perspective

A Smart Street light (SSL) is a public lighting that incorporates technology to introduce a real time monitoring functionalities. SSL is known to be a cost-effective and sustainable choice for cities and utilities today. In enabling cities to provide proper amount of street light for local conditions, installing SSL will improve citizen satisfaction regarding security and safety, while bringing municipalities significant savings in power consumption and lighting system maintenance. Tenaga Nasional Berhad (TNB) through its research arm, TNB Research (TNBR) has recently carried out a pilot study on the feasibility of SSL system by using energy efficient light-emitting diode (LED) lighting technology. In the study, two (2) SSL technologies have been selected and evaluated through field trial which are Securemesh 2.4 GHz Neighborhood Area Network (NAN) and Ultra Narrowband (UNB). Both SSL systems have been pilot tested at selected areas in Melaka state. This paper shall discuss their technical performance such as functionality, reliability and compatibility that have been evaluated in the study.

The paper discusses a modern concept of smart street lighting that for illuminating city streets implies the use of special street lamps controlled via intelligent platforms. These platforms can regulate the intensity of lighting according to environmental conditions. At daybreak or when there is no people around, lamps’ brightness automatically decreases (or the lights entirely go down), which helps save electrical energy. As the result, expenditures from public funds on street lighting are reduced and the impact of electric power stations on the environment decreases. Street lighting is an essential part of the city infrastructure, since it performs several functions at ones. Firstly, it provides a sufficient level of illumination for traffic networks and pedestrian areas at night time, which not only enables reducing the number of traffic collisions and injuries, but also makes life of car drivers more convenient. Moreover, properly designed street lighting including street lamps on avenues, boulevards and in yards reduces the level of urban crime. Street lightning in Russia annually consumes approximately 7 billion kW/h of electric power, which is equivalent to 16 billion rubles. While producing such an amount of electric energy, millions of tons of various exhausts pollute the atmosphere. Smart street lighting systems help reduce the demand in electrical energy for outdoor illumination. The most important indicator of a civilized city is a well-lit roadway for transport – motorways. For transport on roads, various street lighting fixtures are used, but the most popular are energy-saving gas-discharge lamps, which effectively achieve full compliance with the standards and requirements for road lighting.

Street lighting systems are considered one of the most important pillars necessary for the infrastructure that must be provided in urban cities due to their positive impact on the lives of citizens. Street lighting provides comfort to citizens and makes them feel safe at night. Despite all these advantages, it brings a heavy burden on the energy consumption bill and has negative consequences for the environment. Modern technologies, such as wireless communications and the internet of things (IoT), have enabled the creation of smart street lighting systems that contribute to improving energy saving and preserving the environment compared to traditional systems. In this research, the performance and feasibility of a prototype smart street lighting system based on IoT and wireless communications were studied. This system was implemented and tested at a pilot site with the aim of enhancing energy performance and creating a smart infrastructure on the university campus. Street user data, captured by the passive infrared (PIR) sensor, is exchanged between lighting poles using the ESP-NOW protocol to create adaptive lighting. This ensures that the level of illumination by the LED luminaires around the user is greater than that behind them. The cloud server ThingSpeak was also utilized to collect and store the electrical variable data measured by this system. Additionally, images are captured and stored for street users. From the data obtained from the cloud server and energy measurements, the system has demonstrated its effectiveness in reducing energy consumption.

Today's modern world people preferred to live the sophisticated life with all facilities.The science and technological developments are growing rapidly to meet the above requirements.With advanced innovations, Internet of Things (IoT) plays a major role to automate different areas like health monitoring, traffic management, agricultural irrigation, street lights, class rooms, etc., Currently we use manual system to operate the street lights, this leads to the enormous energy waste in all over the world and it should be changed.In this survey we studied about, how IoT is used to develop the street lights in the smart way for our modern era.It is an important fact to solve the energy crises and also to develop the street lights to the entire world.In addition, with the study on smart street lighting systems we analyzed and described different sensors and components which are used in IoT environment.All the components of this survey are frequently used and very modest but effective to make the unswerving intelligence systems.

The amount of greenhouse gas emissions from streetlights is equivalent to 2.6 million cars with as many as 26 million streetlights in the United States. The proposed IoT controller integrates sensors to make these streetlights as hubs for smart environment monitoring with effective energy usage. Conservation of energy is one of the main concerns in the modern era, and energy coming from the sun can be utilized efficiently alongside a smart streetlight management system instead of conventional streetlight management techniques. Additionally, with streetlights being present throughout a city, the opportunity to collect city-wide weather data is proposed. To this end, a solar-powered IoT-based smart street lighting and environmental monitoring system is proposed. The proposed energy-efficient IoT-based system uses a microcontroller to control light-emitting diode (LED) streetlights depending on lighting conditions and vehicle detection, ensuring that the streetlights can be turned on when needed.

Conventional street lighting systems in most of the areas are Online at regular intervals of time irrespective of the seasonal variations. The street lights are simply switched on at afternoon and turned off in the morning. The consequence is that a large amount of Power is wasted meaninglessly. As energy consumption is an issue of increasing interest, possible energy savings in public street lighting systems are recently discussed from different viewpoints. The purpose of this work is to describe the Smart Street Lighting system, an approach to accomplish the demand for flexible public lighting systems using a Programmable Logic controller (PLC). The main difference from other computers is that PLCs are armoured for severe conditions such as dust, moisture, heat, cold etc., and have the facility for extensive input/output (I/O) arrangements. In the proposed paper, street lights are controlled using millennium 3 PLC taking the seasonal variations into consideration.

HighlightsWhat are the main findings?Ensuring energy efficiency through the use of the P&O MPPT algorithmThe integration of a PV-battery hybrid system for a smart street lighting systemThe use of internet-free LoRaWAN communication for a remote monitoring and control systemWhat is the implication of the main finding?The primary objective of this study is to present a design for a street lighting system based on LEDs, which is hybrid-powered by solar energy and batteries, thereby making it independent of the grid.It focuses on reducing energy consumption during times of low demand, managing energy according to the potential of energy sources, and enhancing system reliability by enabling monitoring and control of the entire system through the LoRaWAN communication method.The growing demand for electricity and the urgent need to reduce environmental impact have made sustainable energy utilization a global priority. Street lighting, as a significant consumer of urban electricity, requires innovative solutions to enhance efficiency and reliability. This study presents an off-grid smart street lighting system that combines solar photovoltaic generation with battery storage and Internet of Things (IoT)-based control to ensure continuous and efficient operation. The system integrates Long Range Wide Area Network (LoRaWAN) communication technology for remote monitoring and control without internet connectivity and employs the Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm to maximize energy extraction from solar sources. Data transmission from the LoRaWAN gateway to the cloud is facilitated through the Message Queuing Telemetry Transport (MQTT) protocol, enabling real-time access and management via a graphical user interface. Experimental results demonstrate that the proposed system achieves a maximum MPPT efficiency of 97.96%, supports reliable communication over distances of up to 10 km, and successfully operates four LED streetlights, each spaced 400 m apart, across an open area of approximately 1.2 km—delivering a practical, energy-efficient, and internet-independent solution for smart urban infrastructure.

Road accidents are a principal cause of demises, detriments and property damage every year. The fatal crashes are the primary reason for death among young people aged between 5 and 29 years. Road fatalities can be minimized by using smart street lights. This paper reviews the existing street light systems, including solar energy, light detection and motion detection systems. Furthermore, this paper proposes a system to detect and prevent road accidents and improve post-crash care using smart street lights. In case of an accident, the proposed system immediately assists in sending a message to the emergency services using GSM module and changing the colour of the street light LED to red, which acts as a warning signal for the vehicles approaching from behind on the road. The system uses solar energy to power the connected LED. Hence, this makes the system energy-efficient also.

The main purpose of smart city is to improve the quality of life, improve the efficiency of life, and save the energy resources of life, which is in line with the current global concept of low-carbon environmental protection, energy saving and emission reduction, and ecological sustainable development. Under the process of smart city, the development of urban public space is also committed to meeting the material and spiritual needs of residents’ lives. For the system hardware design, the street lamp node, and the concentrator node hardware design, the sensing node is composed of multiple sensors. Its main components are temperature sensor, infrared sensor, sound sensor, and light intensity sensor, which, respectively, realize the collection of temperature, infrared, sound, and light intensity information. The street light sensing system uses multisensor information fusion technology to detect the situation of people and vehicles in real time, so that people and vehicles can turn on the street lights and turn off the street lights of unmanned vehicles. Adjust the street light switch according to the intelligent analysis of the lighting demand scene in order to enhance the accuracy of the system to identify the lighting demand scene. This enables the system to provide safe lighting conditions for urban traffic while saving the power consumption of urban lighting. The sensor system of the street light randomly selects the detection results of temperature and humidity within a certain period of time. The error rate of the final test result is 1/2 of that of the traditional test, and the accuracy is far lower than that of the traditional measurement method. Regarding the lighting system of street lamps and public art in urban public spaces, it is worthy of extensive promotion to control street lamp lighting through sensor information fusion technology and reduce energy consumption.

The world population has grown exponentially in the last few decades. In the most of the world’s big cities, it is very difficult to provide the resources like energy, water, transportation and other essential services to the public due to the increase in the demands on resources and infrastructure. Internet of Things (IoT) is a technology that makes possible to keep the cities green and safe by interconnecting the devices, vehicles and infrastructure so that the energy and water consumption can be reduced and quality of the people can be improved. The objective of the smart cities could be to increase the economic growth, to construct a clean and sustainable environment, to enhance the income of the people and to make the transparent governance of the city. This chapter provides the need for Smart Street Lighting in smart cities and the suggestions for the implementation. Smart Street Lighting Framework which reduces the cost and the energy consumption is proposed. The present implementations of Intelligent street lighting around the world are also discussed.

Modernizing street lighting is a logical reaction to dynamic economic changes and energy prices. The idea for intelligent street lighting is simple, complete control over the street lights depending on the conditions. At the same time, the main objective of this system is to lower energy consumption and, consequently, less CO2 emission. The number of cities which have established new lighting systems is growing fast because it is environment-friendly and economical. Modern lighting systems have different levels of intelligence and apply different strategies for changing energy consumption patterns. The impact of changing the lighting logic is much less than using intelligent street lighting or switching from conventional lights to LEDs. However, the total energy consumption for public lighting is too high that it is worth investigating any possible way for energy efficiency improvement, even for a fraction of one percent. This research explains a simulation-based approach in three real-world implementations for energy efficiency improvement using Street Lighting Simulation. In our studies, smart street lighting provides %25 to %60 energy savings, and optimizing the lighting strategy brings up to %5 more energy efficiency.

The use of LED lights in smart street lighting to save energy is efficient and very common in many developed cities. However, such a system results in higher initial costs, which may discourage smaller towns and villages from its purchasing. This paper therefore deals with the design and development of a smart street lighting control system for smaller cities and villages. Such a system is required to be economical from the perspective of development and production. Considering other requirements such as platform independence, high availability and broad support, we proposed to build a system as a web application using a custom light control service component. The result is a web application that consists of a user interface served by a web server and an application server used to communicate with light control service. In addition, the system is designed as a geographical information system to be easy to use for managing street lights in groups or individually, while displaying them on the map. The system allows automatic sensor-based light intensity modulation by default with the possibility of manual adjustment or override of the illumination. It also includes a device error notification system with a tool to navigate faulty devices. The presented system is a low-cost solution for intelligent street lighting control designed for smaller cities or villages. They can apply the designed architecture of the system and the specific technologies suitable because of their low-cost implementation.

Over the last decade, increasing availability of Internet of Things (IoT) devices and broadband communications technologies has enabled a number of smart applications in many cities. Among various smart city applications, a smart street lighting application is considered as one of the most cost-effective choices for a smart city today, if relying on existing street lights that are already deployed and networked across a city. Piggy-bagging on a readily available networked street lighting infrastructure, several city-wide services can be offered rapidly and cost effectively. Examples of additional devices that can be deployed along with networked street lights are such as environmental sensors, traffic sensors, IP cameras, digital signage, and more. To enable connections among different sensing and control devices, communication technologies and networks are of crucial components. There are a wide variety of communication technologies that can be used, namely, Sigfox, long range (LoRa), Weightless, Symphony Link, random phase multiple access (RPMA), narrowband IoT (NB-IoT), long-term evolution category 0/1/M (LTE category 0/1/M), power line communications (PLC), ZigBee, IPv6 low-power wireless personal area network (6LoWPAN), wireless local area network (WLAN), wireless mesh, worldwide interoperability for microwave access (WiMAX), and Cellular (2G/3G/ 4G/5G). The chapter aims at providing a comprehensive discussion of various communication technologies that can serve smart street lighting and other add-on applications in a smart city. These technologies are evaluated on the basis of communication network requirements of different applications pertaining to their data rate, latency, reliability, and security.

Street and public area lighting is a key service provided by municipal government. The public lighting sector is playing an important role in providing convenience, enhancing safety and security, promoting economic development, creation of friendly environment, as well as increasing the aesthetic appeal of surrounding property. The energy consumption in the street lighting sector, whether in public lighting or private users, constitutes a high percentage of the total energy used. Lighting conditions in streets of city of Tirana are currently at a level, which in many cases does not satisfy the requirements set out by legislation and standards. The study is undertaken with the request of Ministry of Infrastructure and Energy with goal to identify the possibility of applying new street lighting systems in Tirana, in order to draft concrete strategies for the future of street lighting in Albania. The study was focus on the opportunities and recommendations for the development and installation of LED technologies in the street lighting of Tirana. The study presented in this paper is completely based on the detailed analysis of the current state of the street lighting system in the Municipality of Tirana by visits and measurements, full information taken by municipality, interviews with responsible people of street lights system, different simulations based on DIALux software for new technology proposed. The study has estimated a great potential electrical energy savings by replacing existing street lighting lamps retrofits with LED in municipality of Tirana, around 33%, which is 4.6 million kWh/year, effecting a reduction of 1.85 million kg CO2 emission. The findings presented in the paper provide information on energy savings opportunities, which can be readily adopted by Municipalities of Albania, in their pursuit of energy and financial savings in street lighting sector.

Smart street lighting systems: performance, energy consumption and availability assessment