Open access peer-reviewed chapter

# Economic Applications for LED Lights in Industrial Sectors

Submitted: October 6th 2020Reviewed: December 7th 2020Published: January 11th 2021

DOI: 10.5772/intechopen.95412

## Abstract

After the Introduction, which discuss the main advantages and disadvantage of LED from Economics angle, the entire Chapter is presented in three sections. The first section discusses the economic benefits of replacing different types and rating of outdoor HID lights, typically installed in an industrial plant, with LED lighting. The section determines important economic indicators to evaluate direct and indirect benefits that can be achieved from using LED lights. In second section an efficient, safe and cost effective design to automate LED lighting system used for long roads with low-traffic is provided. The section provides smart control using image recognition for cost saving of road lighting operation and gives economic analysis for this lighting system. In third section, design of intelligent daylight utilization to achieve efficient indoor lighting intensity control for LED lights that are used in industrial building is provided. Comprehensive evaluation of the lighting system economics is discussed.

### Keywords

• LED economics
• LED verses HID
• lighting economic norm
• control technology with LED
• LED in industrial application smart road lighting

## 1. Introduction

Light emitting diodes are rapidly developing in light output, color rendering, efficiency, and reliability. Achieving good level of maintenance-free in harsh environment, while keeping product competitive, is the largest challenge which only few manufacturers manage to achieve. The latest high quality LED technologies are already exceeding all other available technologies by all technical parameters. According to its numerous advantages, even higher initial cost quickly pays for itself due to vastly reduced cost of electricity and maintenance. But to fully benefit from the outstanding advantages it is important to educate and recognize the difference between low quality and latest state of the art LED technologies, since low quality LED alternatives have quickly spread all over the world [1, 2].

### 1.1 General advantages of high quality LED lights

#### 1.1.1 Less energy consumption

LED lights use 40–80% less electricity and have at least 5 times the life expectancy than regular High Pressure Sodium (HPS) fixtures. LED lamps are 7 times more energy efficient than incandescent and twice as efficient as fluorescent lamps.

#### 1.1.2 Higher efficiency and low light pollution due to directional light

LED lights with a lower lumen output can replace conventional lamps with a higher output. For example, a 30 W LED street light can often replace an 80 W High Pressure Sodium lamp. The reason for this is directionality. LED street lamps are very directional and the light output is much more than other street lamps. Also there is little or no hot spot under the LED lamp. The light emitted from the LED lamp is directed downwards, spread throughout the entire area it covers. This means that a lower amount of light is needed to properly illuminate the area. This also dramatically reduces glare and light pollution which affects the mood of human beings, navigation in birds and insects, mating behavior in animals and flowering in plants.

#### 1.1.3 Long life: up to 100.000 hours

LED lights last much longer than conventional lamps (4 to 8 times longer). This result in less expense in replacing the lights themselves but also the labor to replace the lamp is needed less often. This provides a great cost savings by itself.

Also the loss of brightness or lumen depreciation is slower over the life of an LED lamp than that of sodium or other lamp. So not only does the LED have a longer life span than the conventional lamp, but it stays brighter longer than other lamps. The long life span reduces maintenance expenses and makes these bulbs particularly suitable for difficult to reach locations and for streetlights where maintenance costs can be significant.

Lifetime and Lumen maintenance compression between LED and HID lights is illustrated in Figure 1. The comparison shows that relamping of HID fixture is required to be done 5 times to achieved one base life time of LED, considering the relamping is required when the Lumen reduces to 70% of initial lamp Lumen [1].

#### 1.1.4 Great operating characteristics

LED operates at efficiently at low and high temperatures, and unaffected by on/off cycling. This makes them safer and efficient in special indoor applications such as refrigerator lights, cold room lights, offices, industrial plants and better for applications requiring frequent switching on and off lights. These bulbs are shocks and vibrations resistant making them the best choice for places like offshore platforms, oil refineries, steel factors, skids and similar applications.

#### 1.1.5 Easily controllable

The light is easily controllable with intelligent systems. The light can be turned on and off instantly and can be dimmed for added energy savings at dawn, dusk, and also during hours of low traffic. Switching on–off and dimming does not affect the life-time of the luminaire as in the case of fluorescent lights.

#### 1.1.6 Reducing carbon footprint

The carbon footprint of LED street lights is smaller than other lights due to lower energy usage. Moreover, LEDs last 4 to 8 times longer than any other bulbs, further reducing the carbon footprint of manufacture over the life time. From another angle, wide range application of LED in a country my give better chance to sale there international quota in CO2 emission to other countries.

#### 1.1.7 Dark-sky friendly

Because of the directional light, light is carefully distributed exactly where it is meant to go and therefore there is no or little light which is wasted by illuminating the night sky or very low background light contribution. This is a considerable plus especially if the local community has a Dark-sky Initiative.

#### 1.1.8 Natural light specter: Color rendering index

It is worth to mention here that for example LED street lamps with color temperature 3.500–4.200 K are rendering more natural light than the yellow of sodium lamps or green of fluorescent streetlights. Also no UV or IR radiation is emitted from the LED street lamps. Color rendering index (CRI) is high (80–90) and displays natural colors of illuminated objects. This reflect actual color of the objects.

#### 1.1.9 Free of harmful substances and lower environmental impact

LED luminaires contain no harmful substances, like mercury, lead or other hazardous chemical and gasses. Spent LED lamps can be thrown away without any special handling or disposal requirement, since they are recyclable and environmentally friendly. Other lighting bulbs often have hazardous materials such as lead and mercury which require special handling and waste management procedures which have both economic and environmental costs.

### 1.2 International and National Directives

European Commission issued the Regulations EC No. 245/2009 for tertiary lighting products on 18 March 2009. On the basis of these Regulations, about 1 billion lighting products have to be replaced by LED type by the year 2015 only in the area of the EU, which translates to 100 million street lamps for street lighting and industry. The remaining 900 million refer to neon lamps.

Similarly, the Energy Information and Security Act of 2007 began the process of restricting the sale of inefficient lamps in the US. By 2012, with a few exceptions, the result of the legislation will be that inefficient incandescent lamps cannot be sold [1].

## 2. Economic benefits of replacing different types and rating of outdoor HID lights by LED

### 2.1 Survey and problem definition

High-intensity discharge lamps (HID lamps) are a type of electrical gas-discharge lamp which produces light by means of an electric arc between tungsten electrodes housed inside a translucent or transparent fused quartz or fused alumina arc tube. This tube is filled with noble gas and often also contains suitable metal or metal salts. The noble gas enables the arc’s initial strike. Once the arc is started, it heats and evaporates the metallic admixture. Its presence in the arc plasma greatly increases the intensity of visible light produced by the arc for a given power input, as the metals have many emission spectral lines in the visible part of the spectrum.

Many lighting application use HID bulbs for the main lighting systems, although some applications are now moving from HID bulbs to LED because of the LED advantages [2].

By about 2010 LED technology came to dominate the outdoor lighting industry; earlier LEDs were not bright enough for outdoor lighting. A study completed in 2014 concluded that color temperature and accuracy of LED lights was easily recognized by consumers, with preference towards LEDs at natural color temperatures [3]. LEDs are now able to match the brightness and warmer color temperature that consumers desire from their outdoor lighting system.

By comparing the power characteristics and lighting characteristics for LED verse traditional lighting, it can be concluded that using LED lighting to replace the traditional lighting devices are possible and recommended. However, still protection circuits such as current, voltage and temperature are still needed to be revised to increase the reliability. In order to make such mission become truth, the first important thing should be done is to lower the unit cost and secondary to have a proper and reliable power circuit with less loading and less electrical faults probabilities. Also suitable optics is needed to control the light pattern from the LEDs including focus, diffusion, reflection, and light amplification [4, 5].

For indoor Lighting, seven criteria are proposed to assess the technical and economic characteristics of LED luminaires and ensure their compliance with European Norms regarding office lighting. The proposed decision support system can be applied to any type of luminaire and can be used by professionals who want to evaluate different luminaire suppliers and determine the optimal luminaire tender for the lighting of any indoor space [6].

Other researches concentrated in Road lighting to compares mainly the life cycle costs (LCCs) of two typical alternatives in current road lighting: the HPS and LED luminaires. These studies have considered only the road lighting design criteria, but the esthetics and visual attractiveness are excluded from the comparison. The comparison and the results have considered only the direct energy operating cost [7]. Also an Economic cost analysis comparison between LED and HPS flood lights for an outdoor design, but using solar PV as a power supply, has been carried as a part of renewable energy design [8].

Feasibility study of LED lamp in replacing the conventional fluorescent lamp was conducted. Analysis and comparison have been carried out on the two lighting systems in terms of electrical and photometrical performance. The study did not cover any HID outdoor lighting [9].

Comprehensive techno-economic analyses that considered the Company and National economic benefits that can be achieved from the high service life of the LED light fittings (up to 100,000 Hours) and its low power consumption compared with HPS was carried out. However, this analysis is limited only for 400 W HPS lighting case.

For the above survey, it can be found that several efforts carried out economic analysis of replacement different light fittings with LED. But, none of these works has considered the economics for replacement the HID lamps by LED lamps in industrial plants. Moreover, none of these researches have presented any type of economic index to support such type of lighting projects, except [10], which limited the research the replacement of only HPS type used in access road of a gas production company.

Based on the above survey, the first goal of this chapter is to discuss the economic benefits of replacing outdoor different type of HID lights with different rating installed in an oil and gas plant, as typical “Case-Study” for industrial plant, with suitable equivalent number of LED lighting fittings, to provide even better lighting effect level, without changing the lighting poles. The second goal is to determine the global saving norm based on two main aspects. “Company Benefits”, in which the Company can gain it directly, and “National Benefits” that can be achieved by creating better gas sales opportunity for the county and by the reduction of the CO2 emission and hence the pollution.

### 2.2 Case-study: techno-economic model analysis for replacement of HID lamps with LED lamp in oil and gas plant

In this section, firstly, comprehensive economic study is introduced to replace 241 pieces of 150 W Metal Halide, 103 pieces of 400 W HPS lighting, 20 pieces of 1000 W MH lighting and 162 pieces of 70 W Bollard lighting by equivalent number of LED lighting fittings. Next, economic discussion is to carried out to provide four important economic indicators. Finally, summary, conclusion and recommendation are given.

#### 2.2.1 Economic study methodology

The methodology in this economic study is carried out to estimate the financial benefits of replacement of outdoor HID (High intensity discharge) lights in an oil and gas plant by the equivalent LED (Light Emitting Diodes) lighting fixture. The Study has considered the following factors:

1. Company (Direct) Benefits:

1. The initial cost of the replacement the lighting fixtures.

2. The energy saving.

3. The maintenance cost.

2. National (Indirect) Benefits:

1. Natural Gas Sales opportunity

2. Pollution Cost

In Company Benefits, calculation for “Luminaire Cost”, “Power Consumption” and “Maintenance Cost” are given based on offers and prices collected on 2015–2016 from different bidders, contractors and suppliers to find the lowest prices.

In National Benefits, two benefits are considered. First benefit is the gas sales opportunity that will be gained from the reduction of the power consumption in case LED light is used. Natural gas valued using the wholesale price of $4.618/MMBtu based on US Energy Information Administration Henry Hub/NYMEX futures prices; Equivalent energy rate of 5.6 ¢/kWhr is used to value the energy produced over 10 years, assuming 1% annual escalation factor and Euro to USD exchange rate of 1.2 [10, 11] Accordingly, AnnualNaturalGasSaleOpportunity=1.2×0.056×ΔkWhr$E1

Where Δ kWhr is the reduction in the power consumption.

However, the second benefit is the cost saving due to the reduction of the CO2 emission, and hence less pollution. Carbon credits based on current market is typically 6 euro/ton. Where, CO2 emission is considered to be 0.83 kg/kWh. Assuming Euro to USD exchange rate of 1.2, the annual saving in pollution reduction can be calculated as following [10, 11]:

AnnualSaving in Polution=0.83×ΔkWhr×6×1.21000$E2 The economic study is categorized based on HID lamp type that is needed to be replaced in the plant under the study. Typical study is summarized in the following Table 1 for 150 W Metal Halide luminaire replaced by 65 W GREE LED luminaire. Where. Company Benefits I. LUMINAIRE PRICE ANALYSIS S/NDescription150 W MH Metal Halide [12]65 W CREE LED [13]Remarks 1Initial Fixture cost$227.52$449.59 2Total quantity241241 3Total quantity Cost0108351.4986 4Cost/lamp manpower, crane, dumping etc.…108.9918256108.9918256This estimate taking into consideration replacement cost, man power, vehicle, manpower to divert/block traffic, cost of loading/unloading & installation aTherefore initial investment for LED0$134,618.53Additional investment for using LED luminaire.
II. POWER CONSUMPTION ANALYSIS
S/NDescription150 W MH Metal Halide [12]65 W CREE LED [13]
1Wattage per fixture15072System Wattage includes losses
2No of fixtures in the lighting circuit241241
3Total power consumed (kW)36.1517.352
4Hence total Power consumed per year(kWHr)145142.2569668.28Average daily operating time is considered 11 Hours
5Cost per kWHr0.0269482290.026948229As agreed with Utility
6Annual cost3911.3265741877.436755
7Service Life Range16,000–20,00060,000–100,000
8Average Service life (Hrs)18,00080,000
bTherefore the saving in 10 Years$20,338.90 S/NDescription150 W MH Metal Halide [12]65 W CREE LED [13]Remarks Service Life Range16,000–20,00060,000–100,000 1Average Service life (Hrs)18,00080,000 2Number of Lamps change cycle in 10 Year2.2305555560LEDs have no downtime against MH lamps which fail arbitrarily 3Total No. of Lamps5380 4Cost/lamp manpower, crane, dumping etc108.9920The estimate take into consideration new lamp cost, man power, vehicle, manpower to divert/block traffic, cost of loading/unloading & installation. cTherefore savings in lamp maintenance in 10 Years$181043.6
IV. MAINTENANCE COST SAVING ANALYSIS- IGNITORS / BALLASTS / CAPACITORS
S/NDescription150 W MH Metal Halide [12]65 W CREE LED [13]Remarks
1Rated life (Hrs)15,000N/A
2Life in 10 years2.676666667N/A
3Total No. of Ballasts241N/A
4Thus component to be replaced in 10 Years645N/A
5Cost/lamp manpower, crane, dumping etc.…81.74386921N/AThis estimate takes into consideration new ballast cost, man power, vehicle, manpower to divert/block traffic, cost of loading/unloading & installation.
cTherefore savings in component maintenance in 10 Years$52,731.06N/A SUMMARY OF 10 YEAR COST SAVINGS USING LED LIGHT FITTINGS aINITIAL INVESTMENT ON LED$134,618.53
bENERGY$20,338.90 cMAINTENANCE - LAMPS$181043.6
MAINTENANCE - COMPONENTS$52,731.06 TOTALL COST SAVING IN 10 YEARS$254,113.36
Total Average Annual Saving$25,411.336 Company Net Saving in 10 Years$119,495
Annual Company Net Saving$11,949.5 National Benefits V. Natural Gas Opportunity Cost: dNatural gas valued using the wholesale price of$4.618/MMBtu based on US Energy Information Administration Henry Hub/NYMEX futures prices; Equivalent energy rate of 5.6¢/kWh used to value the energy produced over 10 years, assuming 1% annual escalation factor.$5071.85 VI. Pollution cost eCarbon credits –based on current forward market @ 6 euro/ton, CO2 emission in kg/kwh: 0.83, Euro to USD exchange rate of 1.2.$451
National Benefit Saving in 10 Years$5522.887 Total Benefits Total Saving in 10 Years Operation$125017.88
Total Net Average Annual Saving$12501.788 Company Saving Norm = Annual Saving / kW (5) [10]$330.55
Total Saving Norm = Total Net Average Annual Saving/kW (6) [10]$345.83 Economic Analysis Company Payback Period in Years (Initial investment for LED/Annual Company Net Saving11.27 Years Company Annual Return on Investment “ROI” in Percentage8.88% Total Payback Period in Years (Initial investment for LED/Annual Company Net Saving10.77 Years Total Annual Return on Investment “ROI” in Percentage9.29% ### Table 1. Summary of economic study for replacement of 150 W metal halide luminaire by 65 W LED luminaire. Company SavingN=Annual CompanyNetSavingTotalkWfor theReplacedHIDLightingE3 Total SavingN=TotalNetAverage Anual SavingTotalkWfor theReplacedHIDLightingE4 Similar to the typical economic study that is carried out for 150 W Metal Halide lighting, economic study is done for the remaining types of lighting; 103 pieces of 400 W HPS lighting, 20 pieces of 1000 W MH lighting and 162 pieces of 70 W Bollard lighting. Summary Tables (Tables 25) are provided hereinafter to show the Total Benefit and the Economic Analysis for these luminaire types. Total Benefits: Total Net Average Annual Saving$14,899.66
Company Saving Norm = Annual Saving / kW (3) [10]$184.02 Total Saving Norm = Annual Saving / kW (4) [10]$360.29
Economic Analysis
Payback Period in Years4.632 Year
Annual “ROI” in Percentage21.59%

### Table 2.

Replacement of 400 W HPS lighting with (100–130) W CREE LED.

Total Benefits:
Total Net Average Annual Saving$2543.09 Company Saving Norm = Annual Saving / kW (3) [10]$ 107.15
Total Saving Norm = Annual Saving / kW (4) [10]$127.15 Economic Analysis Payback Period in Years10.93 Years Annual “ROI” in Percentage19.15% ### Table 3. Replacement of 1000 W MH lighting with (426) W CREE XAX LED. Total Benefits: Total Net Average Annual Saving$9291.03
Company Saving Norm = Annual Saving / kW (3) [10]$799.05 Total Saving Norm = Annual Saving / kW (4) [10]$819.31
Economic Analysis
Payback Period in Years8.657 Year
Annual “ROI” in Percentage11.55%

### Table 4.

Replacement of 70 W bollard lighting with (34) W CREE EDGE LED.

Project Total Investment$339,550.41 Project Total Average Annual Saving$39,235.9
Project Total Payback Period (Average)8.654 Year
Project Annual Return on Investment “ROI” %11.55%

### Table 5.

Project economics.

Base on the above techno-economic, following Table 5 is developed to summarize the main project economics indicators that can be used as good guide line for future similar projects that consider the replacement of HID lighting by LED Lighting.

#### 2.2.2 Economic discussion

Based on the Saving Norm calculated for individual luminaire type in the above from Tables 14 the Global Saving Norm can be calculated based on the following Eq.:

Global Saving Norm=1n1nNormnE5

Where “n” is the number of replaced lighting types in the study.

Using Eq. (7), the calculated Global Company Saving Norm is (355.19$/kW). From Table 2, it can be concluded that replacement of HPS lighting by LED lighting have the highest Total Net Average Annual Saving. Therefore, it is highly recommended to use LED lights instead of HID lights in industrial lighting applications. It is also observed from Table 4 that replacement Bollard Light Lamps by LED Lamp has highest economic value because of the very short lifetime Bollard Light Lamps compared with LED lifetime. In Table 4, project main economic indicators are illustrated with very attractive total payback period of 8.654 years and Project Annual Return on Investment of 11.55% which is higher approximately 10 times than the international bank rate for dollar deposit. This indicator supports the decision of investment in such scope of work. In this Section, comprehensive economic study is carried out to calculate the Global Saving Norm for the replacement of High-intensity discharge lamps with different types by LED lamp in an Oil and Gas plant, which includes also the operational cost per year. The study considered Company direct benefits and National indirect benefits in evaluating project economic indicators and in calculating the Global Saving Norm as well. The result is compared and validated with previous research effort. Four important economic indicator were provided in this Section; Global Total Saving Norm ($433.37/kW), Global Company Saving Norm ($355.19/kW), typical total payback period of (8.654 year) and typical Project Annual Return on Investment of (11.55%). These four figures are important for both project decision makers and for cash-flow controllers. #### 2.2.3 Summary and conclusion In Section 2 of this chapter, comprehensive economic study is carried out to calculate the Global Saving Norm for the replacement of High-intensity discharge lamps with different types by LED lamp in an Oil and Gas plant as “Case Study” representing industrial plant. The analysis considered Company direct benefits and National indirect benefits in evaluating project economic indicators and in calculating the Global Saving Norm as well. Four important economic indicator were provided in this Section; Global Total Saving Norm ($433.37/kW), Global Company Saving Norm ($355.19/kW), typical total payback period of (8.654 year) and typical Project Annual Return on Investment of (11.55%). These four figures are important for both project decision makers and for cash-flow controllers. Advertisement ## 3. Smart LED lighting system used for long -roads with low-traffic for remote industrial plant ### 3.1 Survey and problem definition Various road classifications are existed in terms of traffic flow. Principal arterials, minor arterials, rural collectors, local roads and very low-volume roads. The last is what our concern in this section. Statistically, for low-traffic roads the flow rate of the vehicles is assumed to be 400 vehicles per day [14]. In these roads, even simple lighting system is not installed mostly, and authorities rely on vehicle lights to illuminate the roads, which putting people life and valuable product passing in these roads under the risk. The main reason of non-lighting system is the desired of saving electrical energy. The main reason of non-lighting system is the desired of saving electrical energy. However, continuously lightened fully roads cause wastage of electricity, as only one vehicles may appear every three or four hours and even more during the night time. Each of these two scenarios are contradicting and are extremely significant issues. Several researchers did some projects and published their work related to this topic, however, none of them has considered the lighting automation system on low traffic road. Articles are mainly related to smart or automated main street lighting systems or parking areas. In the following paragraphs, several researches’ results is discussed, and main points are drawn into attention. Some studies proposed a suggestion to use two sensors in order to consume less power with maximized efficiency of a system [15]. Light Dependent Resistor (LDR) sensor is utilized to measure the sun light intensity to control the switching action of LED streetlights, and Passive Infrared Resistor (PIR) motion sensor is used for changing the intensity of LED light when there is no motion of object in the street at mid-night, then all the streetlights are dimmed. However, [16] indicates that LDR and PIR sensor are used for same purpose, but without dimming the light, just switched on or off. In [17], the author worked on this topic using Infrared Resistor (IR) sensors which measure the heat of an object as well as detects the motion, in contrast to previous researchers did. They developed the system using Arduino Uno R3 while [18] achieved the same by Raspberry Pi 3 micro controller. Another research effort offered Zigbee Based Smart Street Light Control System Using LabVIEW. Here, movement is detected by motion sensors, communication between lights is enabled by Zigbee technology. So, when a passer-by is detected by a motion sensor, it will communicate this to neighboring streetlights, which will brighten so that people are always surrounded by a safe circle of light [19]. Another author developed Intelligent Street Lighting System Using GSM technology. The aim is to achieve the energy saving and autonomous operation on economical affordable for the streets by installing chips on the lights. These chips consist of a micro-controller along with various sensors like CO2 sensor, fog sensor, light intensity sensor, noise sensor and GSM modules for wireless data transmission and reception between concentrator and PC. The emissions in the atmospheres would be detected along with the consumption of energy and any theft of electricity [20]. Automatic street-light control system using wireless sensor networks is also proposed in some design. The system contains lamp station and base station [21]. Each lamp station consists of Arduino Uno board as microcontroller, PIR sensor, emergency switch, LDR sensor, nRF24L01 transceiver, ultrasonic sensor, relay, LED light and a solar panel as energy source. The base station consists of Raspberry Pi as processor, nRF24L01 transceiver, and a GSM module. The automatic streetlight turns on under three conditions. Firstly, when PIR sensor detects a human or a moving object vehicle LED light is turned on. Secondly, an ultrasonic sensor is used to detect distance objects and turn on the light accordingly. Lastly, a switch is included for manual operation in case of maintenance work. The LDR sensor is included to measure the light intensity for identification of the day and night. There nRF24L01 wireless transceiver transmits the sensor information and the light status to the Raspberry web server to upload on the web page. Also, it receives commands sent from the web page to turn on or off the light at a particular node. The entire system is powered using solar cells making it more energy efficient. The problem of high operational cost of low traffic light that use HPS lighting is partially solve by using LED light fitting instead of HPS luminaries [10]. Many real projects and researches have been done on this area [22, 23, 24], but few of them are focused in this topic exactly. Most of them consider street, campus, parking, park or any small area lighting system. The rest of them is devoted to road light and control systems. Brief analysis, discussion and comparison will be introduced hereinafter. From the above literature review, firstly, all systems mentioned above used LDR sensor to sense night-time to operate the control system itself. In the system prosed in this Section, the same day/night sensor idea is also use to know exact hours of night-time or any dark time during the day time due to heavy cloud or any other reasons. Secondly, all systems above have used motion sensors to detect the object movement whatever this object is, even if it is not vehicle, and hence control the lights in terms of switching ON/OFF or dimming. IR sensors and PIR sensor were the preferred sensors used to detect the object. These type of sensors detect mainly warm object and their movement. But, for the suggested system in this Section that need to be used for low traffic road, movement of only vehicle is needed to be recognized and hence switch on the light or dim them. The proposed system need to be designed to avoid any other motion such as animals, birds, or other objects which may be detected by IR or PIR sensors as this unnecessary detection of motion can cause unjustified energy consumption. Therefore, it is needed to give new approach to tackle with such problems. New approach could be to add the night vision smart camera to the system in order to recognize only the vehicles among all other objects that the camera detects. Thirdly, some systems control the illumination by measuring the intensity of the objects movement and change the dimming of the lights accordingly. But for illumination system of low traffic roads, the intensity of the vehicles is continuously very low, and hence dimming technique is not effective solution. Fourth, using LED light continuously operate during the night for low traffic roads can reduce the cost of illuminating the road compared with any other HID lighting, but still this is not best solution because the utilization of this system by this operational philosophy is not an efficient utilization because most of the time the light is ON unnecessary. Fifth, in general, previous researches have been done on lighting automation system for the roads which serve both pedestrians and vehicles. But, this Section tries to design automation lighting system for long road with low traffic, where no need to switch on the lights for movement of any object except the vehicles. In this section, efficient, safe and cost effective solution to design automated lighting system suitable for long roads with low-traffic is provided. First, description of the entire system design is discussed. Then, methodology and the programing of vehicles recognition using camera images are illustrated. Economic analysis for the proposed system is carried out. Finally, conclusion is given. ### 3.2 System design description Lighting automation system in low traffic roads is intended to implement in the illuminated roads. It is supposed to have source power supply, feeder pillar with controller, light poles with day/night sensor. Such conventional system can be upgraded by new automated system. The methodology of lighting automation system in low traffic roads is achieved by applying the moving object recognition technique using cameras. Firstly, the road is sectionalized into several zones. Each zone depends on how much distance is existed between two feeder pillars, typically 400 meters. So, light poles in each zone will be switch on/off together. It means that each zone will have its feeder pillar (control panel) with controller, day/night sensor, motion sensor, and camera. Night vision cameras are installed on the road in such way to detect the vehicle arrival-to and departure-from each zone. The controller is designed to illuminate only the zones in which the vehicle is detected. The type and span of the zone are calculated based on the road design considering straight spans and roundabout. #### 3.2.1 Lighting control conceptual design The control scheme of the automatic lighting system is illustrated in Figure 2. Day/night switch detects darkness status to start the controller and hence motion sensor and night vision cameras. Now, let us consider that there are two adjacent zones (Zone N) and (Zone N + 1), and vehicle enters to Zone (N + 1). Mainly, day/night sensor and motion sensors of (Zone N + 1) need to be installed before the camera of (Zone N + 1), while camera of (Zone N + 1) need to be installed in (Zone N) near to the end. This is because camera need to start capture the moving objects images only after motion sensor detects any object in advance and sends the signal to the camera to start operation, and hence the controller takes the proper decision for switch the light of (Zone N + 1) before the object enter the zone. For that, camera is installed on a light pole about 80 m before each zone. This distance provides approximately 2 seconds for data processing and control assuming maximum speed is approximately 60 km/hour. Figure 3 illustrates the installation location of (Zone N + 1) camera, day/night sensor and motion sensors in (Zone N). The software in the controller extracts the image from the camera and analyze it to determine whether the object is vehicle or not. If the object is not a vehicle, no action is taken by controller. In case the object is vehicle, signal shall be sent to Zone N + 1 lighting feeder pillar to switch on light of Zone N + 1 Simultaneously signal shall be sent to Zone N controller to switch off lightning system of Zone. #### 3.2.2 Switching on/off lighting system for a zone As we explained above, each Zone has its own lighting control system consists of Day/night switch, motion sensor, night vision camera, controller and feeder pillar. When the controller of any zone detect “vehicles” the digital counter inside this controller counts the number of these detected vehicle (Nin). In the same time, the same controller receives from the digital counter inside the controller of next Zone updated number of the vehicle interring the next zone (Nout). The communication between the controllers can be achieved by Power Line Telecommunications method. or RS-485 cable. If the difference between the these to numbers (Nin- Nout) is zero, this means that no vehicles exist in this zone, and the controller switches “Off” the light. As long as (Nin- Nout) is not zero, the light of the zone will be kept “On”. This methodology insures that the lighting system for any zone is kept “On” if any vehicle(s) still in that zone for any reason such as accident, maintenance or temporary parking. Also, this methodology insures that the lighting system of the zone free of any vehicle is “OFF”. In Figure 4, flow chart for two consequent lighting system control logic is illustrated. ### 3.3 Vehicle image recognizing Several researches are done to recognize the vehicle at night based on vehicle lamp detection [25, 26]. This method will not work in case the vehicle lights are switches off for any reason. Another researches are carried out to detect the information in vehicle number-plate using artificial intelligent methods [27, 28]. However, using artificial intelligent method is time consuming and not useful for the application of the proposed system. In this application, recognition of the number-plate rectangular frame is simple method and more than enough to confirm that the moving object is “Vehicle”. #### 3.3.1 Methodology The process of detection of vehicle number-plate consists of the following steps: capture of image, pre-processing, plate region extraction (Figure 5). #### 3.3.2 Capture of image In this step, the image is captured by electronic devices such as infrared digital camera or any other camera suitable for night time. The image captured is stored in JPEG format. After that the captured image is converted into gray scale image. #### 3.3.3 Pre-processing The next step after capturing the image is the pre-processing of the image. When the image is captured a lot of noises present in the image. Reducing the noises from the image are required to obtain an accurate result. The RGB image is then converted into a gray scale image for easy analysis as it consists of only two color channels. The aim of this pre-processing is to improve the quality of the image. Image enhancement techniques are used in this step. Image enhancement techniques consists process of sharpening the edges of image, contrast manipulation, reducing noise, color image processing and image segmentation. #### 3.3.4 Plate region extraction The most important stage is the extraction of number-plate from eroded image significantly. The extraction of number-plate can be done by using image segmentation method. Mathematical morphology is used to detect the region of interest and Sobel operator are used to calculate the threshold value. In general, any vehicle has its own number-plate which is always in rectangular shape consists characters. Accordingly, the basic approach in the detection of a vehicle is to recognize its number-plate which is mainly frame with characters (Numbers and letters). So, it is necessary to detect two criteria: the edges of the rectangular plate and there are characters within the rectangular. A morphology based approach for detection number-plates is used. Our proposed method applies basic mathematical morphology operations like dilation and erosion. The software model using the image processing technology is designed. The programs are implemented in MATLAB. The algorithm is divided into following parts: capture image, pre-processing, plate region extraction, characters recognition. #### 3.3.5 MATLAB code for number-plate recognition The following MATLAB code is written to implement the above mentioned parts: • Image capturing from camera 1. % Read Image 2. Input_image = imread(‘Car.jpg’); • RGB to gray scale 1. % Convert the truecolor RGB image to the grayscale image • I = rgb2gray (Input_image); 1. The following steps are used: 2. Image capturing from camera 3. % Read Image 4. Input_image = imread(‘Car.jpg’); 5. RGB to gray scale 6. % Convert the truecolor RGB image to the grayscale image 7. I = rgb2gray (Input_image); • Edge detection 1. % Sobel Operator Mask 2. Mx = [−1 0 1; −2 0 2; −1 0 1]; 3. My = [−1–2 -1; 0 0 0; 1 2 1]; 4. % Sobel Masking for filtering image 5. S = imfilter (I, Mx,'replicate’); • Vertical and Horizontal Dilation 1. % Vertical Dilation 2. Dy = strel(‘rectangle’, [80,4]); 3. Iy = imdilate (M,Dy); 4. Iy = imfill(Iy,'holes’); 5. % Horizontal Dilation 6. Dx = strel(‘rectangle’, [4,80]); 7. Ix = imdilate(M,Dx); 8. Ix = imfill(Ix,'holes’); 9. % Joint Places 10. JP = Ix.*Iy; 11. Dy = strel(‘rectangle’, [4, 29]); 12. ID = imdilate(JP,Dy); 13. ID = imfill(ID,'holes’); • Erosion 1. The process of erosion reduces removing unwanted details from a binary image. 2. % Erosion 3. E = strel(‘line’,50,0); 4. IE = imerode(ID,E); • Filtering of digits 1. By filtering, the unwanted substances or noise can be removed or filtered out that is not a character or digits. Small objects or connected components should be removed and then the frame line that is connected to the digits should be identified and separated. 2. Bwareaopen (Image Processing Toolbox) is applied for removing all the connected components from the binary image that have value less than P pixels. 3. image2 = bwareaopen(image, min(numberofpixel, 100)); 4. Stats = regionprops (L, properties) is applied for measuring a set of properties for each labeled region in the label matrix L. 5. stats = regionprops (image2,'all’); • Detect plate from image #### 3.3.6 Program validation process The validation of the of the number-plate recognition program, and hence the detection of vehicle, is done by two tests. #### 3.3.6.1 Number-plate recognized In this first test it needs to insure that the program recognizes any object, that is captured by the camera, has number plat. Therefore, the test is carried out to detect the number plat for different vehicle models and types with different orientations. The test result is illustrated in Figure 6. The program succeeded to detect the number-plate as rectangular frame include characters. It is worth to highlight here that it is not part of the program function to “read” the number-plate. #### 3.3.6.2 No number-plate recognized The objective of the second test is to ensure that for any object that does not have number plat, the program shall detect no number-plate. The test is done using four images for different objects consist of peoples and animals - Camels and Dog- (Figure 7). The program also succeeded to detect no number-plate. #### 3.3.7 Object recognition in the road Any moving object enters any zone of the road shall be subject to two steps of recognition process: the first recognition process is by the motion sensor which detects that there is a moving object leaving the zone (serves-zone) and enters the next zone. The second recognition process is carried out by the image processing software that detects the moving objects which has rectangular plate with characters (Vehicle). If the two condition is satisfied simultaneously, the intelligent lighting system puts ON the road lighting of the next zoon (vehicle entering zoon) and switch off the lighting of the service-zoon after short time delay (vehicle leaving zoon). ### 3.4 Economic analysis Comprehensive economic study is carried out with the same methodology discussed is Section 2, but to estimate the financial benefits of using the proposed lighting automation system for the low traffic roads. The Study considers also Direct Benefit and Indirect Benefits [10] in order to evaluate the entire economic value of the system. Assuming for low traffic; the vehicle flow is 400 vehicles per day [14], vehicle speed is 60 km/hour, zone distance is 400 meter, lighting pole span is 40 meter, LED fixture consumption per pole is 75 Watts [30] and electricity tariffs is typically (0.053$) per kWh [29].

From the above assumptions, flow rate of the vehicle can be calculated to be 17 vehicles per hour. Considering worst road operation scenario, at which the 17 vehicles are driven with constant speed of 60 km/hour and equal distances from each other, it is obvious to conclude that one vehicle shall enter the first zone each 212 seconds and leaving the zone (400 meter) after approximately 24 seconds. Accordingly, the zone lighting fixtures shall be switched on for 29 seconds and switched of for 183 second approximately. From that, the percentage saving in power consumption using the proposed controller compared with the power consumption when road is illuminated continuously during the night is approximately 183 × 100/212 = 86% saving.

Considering 4 km low traffic road operating for typically 50 years, Direct benefits and Indirect benefits can be calculated as following:

Considering the cost of; camera (approximate number), day/night sensor, motion sensor, controller (simplest version) [31], signal transmission between zones by RS-485 network [32], and installation [10] (lamp, manpower, crane, dumping etc.…), Table 6 can be obtained. The table illustrates that approximately $26,662.88 is needed to provide the proposed automation lighting system for 4 km. S. NoDefinition (in 4 km)With controllerWithout Controller 1Total Quantity of LED100100 2Quantity of Day/Night sensor, Motion sensor, Camera & Controller100 3Unit price for Day/Night sensor, Motion sensor, Camera & Controller including maintenance$107.40$0 4Total cost for item 3$1074.00$0 5Signal transmission between zones$14,698.88$0 6Total Cost of Installation$ 10,890.00$0 aInitial Investment$26,662.88$0 ### Table 6. Initial investment. #### 3.4.1.2 Energy saving Table 7 illustrates the comparison of energy consumption between using the proposed automation lighting system versus conventional system which operates all night, considering that both systems utilize LED fixtures with 75-Watt as minimum consumption for the conventional system. The table shows reduction in the power consumption of 86.31%. This reduces drastically the electrical fault probability in the lighting electrical circuits [33, 34]. S. NoDescriptionWith ControllerWithout controller 1Wattage per fixture (Watt)7575 2№ fixtures in 4 km100100 3Total power Consumed (Watt)75007500 4Operating hours (hour) per day1.64312 5Daily operating cycle %6.8458%50% 6Operating hours (hour) in 50 Years29990.83219,000 7Power consumed per day (kWh)12.32590 8Power consumed for 50 years (kWh)224931.251,642,500 9Total Cost for per day ($)0.654.77
10Total Cost in 50 years ($)11,921.3687,052.50 bSaving in 50 years$75,131.14

### Table 7.

Energy saving.

#### 3.4.1.3 Saving in maintenance cost

Table 8 indicates the maintenance cost saving [10] (in terms of light fixture) such as lamp, manpower, crane, etc. for 50 years’ operation of the proposed automation lighting system and the conventional system.

S. NoDescriptionWith ControllerWithout controller
1Rated Life (Hours)100,000100,000
2Operating hours in 50 years29990.83219243.33
3Rate of maintenance in 50 years02
4Maintenance Cost per lightening pole108.9108.9
5Total Maintenance 0.0021,780.00
eSaving in Pollution in 50 years$84,713.76 ### Table 10. Saving in pollution. #### 3.4.2.3 Total saving analysis Table 11 summaries the calculations in direct and indirect savings. It is obvious that total saving for only 4 km road in 50 years is$ 234,238.47.

aInitial Investment$26,770.28 bSaving in Energy$ 75,131.14
cSaving in Maintenance$21,780.00 dSaving in Natural Gas$ 79,383.85
eSaving in Pollution$84,713.76 FTotal Saving Cost$234,238.47

### 3.5 Summary and conclusion

#### 4.5.2.2 Annual saving in pollution

Second indirect benefit is that pollution caused by power plants can be reduced significantly. When the amount of power consumed is reduced, the amount of toxic fumes released by power plants will be reduced. The majority of power plants burn crude oil, coal, fossil fuel etc. Hence, this causes the emission of carbon dioxide that accounts for the majority of pollution. Carbon dioxide is released into the air and causes the absorption of sun’s warmth and heat in our atmosphere. When power plants burn more fuel in order to generate more energy, extra carbon waste traps cause too much heat. When carbon dioxide emission is reduced, it will cause less pollution. Eq. (2) can be used to calculate the Annual Saving in Pollution that can be gained in any project using this Intelligent Lighting System.

#### 4.5.3 LED bulbs

Nowadays, energy saving is one of the big problems, that is why energy-efficient lighting systems proceed rapidly over the past ten years [43]. Led light bulbs are the best choice to use in energy saving lighting systems and they have great advantages over the fluorescent lamps and incandescent light bulbs. In these days, led bulb technology has developed and this technology offer light bulbs which can be used for many applications. In addition to this, this type of light bulbs offers dimmable and non-dimmable options and it creates opportunity to be used in intelligent lighting systems. Led bulbs are very durable and no mercury is used in this type of bulbs. Although the initial cost of Led bulbs is higher than other types of bulbs, they are cheaper to use for overall life of the light bulb compared with fluorescent or incandescent light bulbs. For all of these reasons, it can be beneficial to use led bulbs instead of other types of bulbs in lighting systems.

#### 4.5.3.1 Diffused led bulbs

One of the bunch of LED bulbs is diffused LED bulbs. It is covered by lens which have dimple shape, and this shape support to spread light around a big area. Nowadays, because of their tremendous efficiency, people increasingly use this type of bulbs. This type of bulbs is available in standard Edison bases, and they can be used for a lot of purposes, such as, reading lamp, lighting for rooms and offices, and some other applications in which light can remain on for a long time.

#### 4.5.3.2 Flame tip, Candelabra Base LEDs

Flame Tip, Candelabra Base LED bulbs is another type of LED bulbs and it is used in many applications. The purpose of designing such type of light bulbs is to take the place of incandescent candelabra bulbs. This type of light bulbs is significantly effective because they can deliver corresponding light of 25 to 35 W and light does not spread top to bottom as far as typical lights, because of heat sink.

#### 4.5.3.3 Led tube lights

LED Tube Light bulbs is another type of LED light bulbs and it is used in a lot of applications. The purpose of designing this type of light bulbs is to replace typical fluorescent tube lights. They exist in 8 and 16 W. In commercial sites, fluorescent lights are frequently installed in high ceilings and using Led Tube Lights instead of fluorescent tube lights is extra saving, because the frequency of replacing bulbs is significantly decreased.

#### 4.5.3.4 Advantage of led bulbs

The life of LED bulbs is approximately 10 times more than incandescent and fluorescent light bulbs. The main reason why they are more effective is that they do not have filament and they are not destroyed under conditions in which typical incandescent and fluorescent light bulb can be damaged. This type of bulbs does not cause any heat, but common incandescent lamps heat and help to increase the room temperature. LEDs avoid this problem and contribute to reduce the air conditioning cost. In the manufacturing process of LED bulbs, no mercury is utilized and this kind of bulbs use approximately 2–17 W electricity. LED bulbs reduce electricity cost, remain cool and avoid the replacement cost, because they have long life.

#### 4.5.3.5 Cost comparison among light bulbs

Although, initial cost of LED bulbs is higher, this cost compensates over time in electricity saving. The use of LED bulbs commercially adopted, because maintenance and replacement cost was significantly higher. Maintenance and replacement cost in LED bulbs are considerably less compared with others and the initial cost of LED bulbs is continuing to decrease.

#### 4.5.4 Saving norm calculation

Consider standard office with dimension 3mx4m. As per Table 12, the design lux level is 500 lux. Using matrix distribution 2x2 with 60cmx60cm light fitting, each consists of 4 lighting tube Fluorescent (25 W) or LED (9 W), the office Traditional lighting load shall be 400 W or 144 W respectively. For 9 hours working duty, the annual consumption shall be 4730kWh and 1314kWh.

Applying Equation-9, the office annual energy consumption can be reduced to 865.59kWh and 240.462kWh for Fluorescent lighting and LED lighting respectively.

From Table 13, cost of electricity (0.10per KWh). Accordingly, from two the values, 865.59kWh and 240.462kWh, Annual Energy Saving Norm/Office for offices using Fluorescent lighting and LED lighting can be calculated to be 86.6 $/office and 24$/office respectively. For example, if this technique applied on 100 Administration Building with 50 room each, so the total Annual Saving can be 433,000 $and 120,000$ for Fluorescent lighting and LED lighting consequently. This example gives good impression how much reasonable saving can be obtained by applying such technique in industrial buildings.

ConditionsLed BulbsCFLIncandescent
Light bulb projected Lifespan50,000 h10,000 h1200 h
Watts for per bulb101460
Cost for per bulb$35.95$3.95$1.25 KWh of electricity used over 50,000 hours300–5007003000 Cost of electricity (0.10per KWh)$50$70$300
Bulbs needed for 50 k hours of use1542
Equivalent 50 k hours bulb expense$35.95$19.75$52.50 Total cost for 50 k hours$85.75$89.75$352.50

### Table 13.

Economic comparison between LED, CFL and incandescent bulbs.

### 4.6 Summary and conclusion

To conclude this section, it can be highlighted that most places are over illuminated because background light is not considered in the design sage. In addition, light is switched on in unoccupied places which causes waste of energy. Therefore, Intellect Lighting System is very essential to overcome this problem to control indoor lighting intensity taking into account occupancy status and background light coming into the room in order to adjust level of illuminance in efficient way. As a result, it is worth to highlighted that Intelligent Lighting System uses properly selected LED bulbs not only reduces power consumption, but also reduces maintenance cost, pollution caused by power plants and increases opportunity for gas sales. Finally, typical Annual Energy Saving Norm (Energy Saving\$/Office) is calculated for both cases, offices using Fluorescent lighting and LED lighting.

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Muhammad M.A.S. Mahmoud (January 11th 2021). Economic Applications for LED Lights in Industrial Sectors, Light-Emitting Diodes and Photodetectors - Advances and Future Directions, Maurizio Casalino and Jagannathan Thirumalai, IntechOpen, DOI: 10.5772/intechopen.95412. Available from:

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