Dual Axis Solar Tracking System - A PROJECT

 

CHAPTER 1

INTRODUCTION

 

            With the unavoidable shortage of fossil fuel sources in the future, renewable types of energy have become a topic of interest for researchers, technicians, investors and decision makers all around the world. New types of energy that are getting attention include hydroelectricity, bio-energy, solar, wind and geothermal energy, tidal power and wave power. Because of their renewability, they are considered as favourable replacements for fossil fuel sources. Among those types of energy, solar photovoltaic (PV) energy is one of the most available resources. This technology has been adopted more widely for residential use nowadays, thanks to research and development activities to improve solar cells’ performance and lower the cost. According to International Energy Agency (IEA), worldwide PV capacity has grown at 49% per year on average since early 2000s. Solar PV energy is highly expected to become a major source of power in the future.

 

            However, despite the advantages, solar PV energy is still far from replacing traditional sources on the market. It is still a challenge to maximise power output of PV systems in areas that don’t receive a large amount of solar radiation. We still need more advanced technologies from manufacturers to improve the capability of PV materials, but improvement of system design and module construction is a feasible approach to make solar PV power more efficient, thus being a reliable choice for customers. Aiming for that purpose, this project had been carried out to support the development of such promising technology.

 

            One of the main methods of increasing efficiency is to maximise the duration of exposure to the Sun. Tracking systems help achieve this by keeping PV solar panels aligned at the appropriate angle with the sun rays at any time. The goal of this project is to build a prototype of light tracking system at smaller scale, but the design can be applied for any solar energy system in practice. It is also expected from this project a quantitative measurement of how well tracking system performs compared to system with fixed mounting method.


CHAPTER 2

LITERATURE REVIEW

 

[1] Hossein Mousazadeh et Al.,[ (2011), Journal of Solar Energy Engineering,Vol.133  studied and investigated maximization of collected energy from a non-board PV array, on a solar assist plug-in hybrid electric tractor (SAPHT). Using four light dependent resistive sensors a sun- tracking system on a mobile structure was constructed and evaluated. The experimental tests using the sun-tracking system showed that 30% more energy was collected in comparison to that of the horizontally fixed mode. Four LDR sensors were used to sense the direct beams of sun. Each pair of LDRs was separated by an obstruction as a shading device. A microcontroller based electronic drive board was used as an interface between the hardware and the software. For driving of each motor, a power MOSFET was used to control the actuators. The experimental results indicated that the designed system was very robust and effective.

 

[2] K.S. Madhu et al., (2012) International Journal of Scientific & Engineering Research vol. 3, 2229–5518, states that a single axis tracker tracks the sun east to west, and a two-axis tracker tracks the daily east to west movement of the sun and the seasonal declination movement of the sun. Concentrates solar power systems use lenses or mirrors and tracking systems to focus a large area of sunlight into a small beam. PV converts light into electric current using the photoelectric effect. Solar power is the conversion of sunlight into electricity. Test results indicate that the increase in power efficiency of tracking solar plate in normal days is 26 to 38% compared to fixed plate. And during cloudy or rainy days it’s varies at any level.


CHAPTER 3

PROBLEM STATEMENT

 

            A sunlight based tracker is utilized as a part of different frameworks for the change of saddling of sun powered radiation. The issue that is postured is the usage of a framework which is fit for improving creation of energy by 30-40%. The control circuit is actualized by the microcontroller. The control circuit at that point positions the engine that is utilized to situate the sun oriented board ideally.

 

3.1 Existing System

            The existing dual-axis solar tracking system project aims to enhance solar panel efficiency by optimizing the capture of sunlight throughout the day. This innovative system utilizes a combination of sensors, actuators, and control algorithms to precisely orient solar panels in alignment with the sun's position.

 

            The system consists of two main axes: the azimuth and elevation axes. The azimuth axis allows for rotation in a horizontal plane, while the elevation axis enables tilting in a vertical plane. By operating on both axes, the solar panels can accurately follow the sun's movement from sunrise to sunset, maximizing the absorption of solar energy.

 

            Integrated sensors continually monitor the sun's location, considering factors such as time, date, and geographical coordinates. This information is then processed by a control algorithm, which commands the actuators to reposition the solar panels accordingly. The actuators, often based on motor-driven mounts or linear actuators, ensure precise and smooth movement, maintaining optimal alignment with the sun.

 

            The advantages of a dual-axis solar tracking system are numerous. Firstly, it significantly increases the overall energy output of solar panels by up to 40% compared to fixed installations. This enhanced efficiency ensures a higher return on investment for solar power systems, making them more economically viable.

            Moreover, by dynamically adjusting the panel's tilt and orientation, the system minimizes the impact of shading, dirt accumulation, and other environmental factors that can hinder output. This proactive approach helps maintain consistent energy generation even in challenging conditions.

 

            Additionally, the project promotes sustainability by utilizing renewable energy sources more effectively, reducing reliance on fossil fuels and minimizing carbon emissions. It showcases the ever-evolving advancements in renewable energy technology and highlights the potential for a greener future.

 

3.2 Proposed System

            The proposed dual-axis solar tracking system project aims to revolutionize solar panel efficiency and expand its capabilities even further. Building upon the existing system, this project incorporates advanced technologies and innovative features to enhance solar energy harnessing.

 

            One key improvement in the proposed system is the implementation of smart AI algorithms. By utilizing machine learning and predictive modeling, the system can analyze historical data, weather patterns, and solar irradiance forecasts to optimize solar panel positioning in real time. This intelligent decision-making process enables the system to proactively adjust panel angles for maximum sunlight absorption, even under variable and uncertain conditions.

 

            In addition to the azimuth and elevation axes, the proposed system introduces a third axis: the roll axis. This rotational movement allows the solar panels to track the sun's lateral movement, optimizing their position for different times of the day and changing solar angles. The roll axis adds an extra layer of flexibility and precision to the panel orientation, ensuring utmost solar energy capture throughout the entire day.

To further enhance system efficiency, the proposed system incorporates various energy-saving features. For instance, it employs high-efficiency solar cells and anti-reflective coatings to minimize energy losses and maximize the conversion of sunlight into electricity.

            Additionally, the system incorporates smart energy management techniques, such as intelligent battery charging and grid synchronization, to efficiently store and distribute the generated solar power.

 

            Furthermore, the proposed system focuses on user accessibility and ease of installation. It includes a user-friendly interface that allows system monitoring, performance evaluation, and remote control capabilities. Additionally, modular design and simplified wiring systems simplify the installation process, making it more manageable and time-effective.

 

            With its advanced AI algorithms, three-axis tracking capability, energy-saving features, and user-friendly design, the proposed dual-axis solar tracking system project takes solar panel efficiency to new heights. This system paves the way for improved renewable energy utilization, increased cost-effectiveness, and a greener future powered by sustainable solar energy.


CHAPTER 4

OBJECTIVES

 

The venture was completed to fulfill two fundamental destinations:

 

  • Design a framework that tracks the sunlight based UV light for sun oriented boards in double pivot.

 

  • Prove that the following in reality expands the proficiency impressively.

 

  • The scope of increment in proficiency is relied upon to be in the vicinity of 30 and 40 percent.

CHAPTER 5

METHODOLOGY

 

            The dual-axis solar tracking system project follows a systematic methodology to design, develop, and implement the advanced tracking system. Here's an overview of the methodology involved:

 

  1. Project Planning: Define the project objectives, requirements, and scope. Determine the available resources, timeline, and budget. Plan the project phases, milestones, and deliverables.
  2. Research and Analysis: Conduct thorough research on existing solar tracking systems, technologies, and components. Analyze the benefits, limitations, and feasibility of different tracking system approaches. Evaluate the impact of solar panel orientation on energy generation.
  3. System Design: Based on the research findings, design the dual-axis solar tracking system. Determine the system architecture, considering the azimuth, elevation, and roll axes. Select appropriate sensors, actuators, and control mechanisms. Layout the electrical and mechanical components.
  4. Sensor Integration: Integrate accurate sun position sensors, such as GPS modules or solar tracking algorithms, to continuously monitor the sun's position. Ensure the sensors provide reliable data on time, date, latitude, and longitude.
  5. Actuator Implementation: Incorporate high-precision actuators capable of smoothly adjusting the solar panel's azimuth, elevation, and roll angles. Ensure the actuators can handle the load, are durable, and provide precise movements. Interface the actuators with the control system.
  6. Control System Development: Develop a control algorithm using advanced techniques like machine learning or predictive modeling. Implement software algorithms that calculate the optimal sun-tracking angles based on real-time and forecasted data. This algorithm should command the actuators to align the solar panels accordingly.
  7. Prototype Construction: Build a functional prototype of the dual-axis solar tracking system based on the design specifications. Assemble and integrate the components, ensuring proper alignment and synchronization between sensors, actuators, and control system.
  8. Testing and Optimization: Conduct rigorous testing of the tracking system prototype under various environmental conditions. Measure and analyze the energy output, efficiency, and accuracy of the system. Optimize the control algorithm and system parameters to maximize energy yield and tracking precision.
  9. Performance Evaluation: Evaluate the performance of the dual-axis solar tracking system against fixed solar panel installations. Compare energy generation, efficiency gains, and return on investment. Conduct simulation or real-world tests to validate system performance and reliability.
  10. Documentation and Deployment: Document the design, methodology, implementation details, and test results. Prepare user manuals and documentation for system installation, operation, and maintenance. If deemed successful, deploy the dual-axis solar tracking system in relevant applications and environments.
  11. Continuous Monitoring and Improvement: Monitor the system's performance regularly, update software algorithms as needed, and perform periodic maintenance. Seek feedback from users and stakeholders to identify areas for improvement and innovation.

 

5.1 Scope of Work in the Project

            The solar project was implemented using two servo motors. The choice was informed by the fact that the motor is fast, can sustain high torque, has precise rotation within limited angle and does not produce any noise. The Arduino IDE was used for the coding. Kolkata has coordinates of 22.5726°N, 88.3639°E and therefore the position of the sun will vary in a significant way during the year. In the tropics, the sun position varies considerably during certain seasons. There is the design of an input stage that facilitates conversion of light into a voltage by the light dependent resistors, LDRs.

            There is comparison of the two voltages, then the microcontroller uses the difference as the error. The servo motor uses this error to rotate through a corresponding angle for the adjustment of the position of the solar panel until such a time that the voltage outputs in the LDRs are equal. The difference between the voltages of the LDRs is received as analog readings.

 

Function of the processor: The analog readings are converted to integer values by ADC input ports which is compared in order to get the difference value for motor movement.

 

            The difference is transmitted to the servo motor and it thus moves to ensure the two LDRs are an equal inclination. This means they will be receiving the same amount of light, and the Solar panel will receive the sunlight at 90°, (the plane of PV panel will make an angle 90° with the Sun, and the perpendicular drawn on the plane makes an angle 0° with the Sun, to ensure maximum illumination: Lambert’s cosine Law) The procedure is repeated throughout the day. Tracker systems work on two simple principles together. One being, the normal principle of incidence and reflection on which our tracker works and the other is the principle on which the solar (PV) panel works, which will produce electricity. Both these principles can be combined and as a result of which it can produce nearly double the output that the panel specifies normally.


CHAPTER 6

WORKING PRINCIPLE AND BLOCK DIAGRAM

 

Ø      Resistance of LDR depends on intensity of the light and it varies according to it. The higher is the intensity of light, lower will be the LDR resistance and due to this the output voltage lowers and when the light intensity is low, higher will be the LDR resistance and thus higher output voltage is obtained.

Ø      A potential divider circuit is used to get the output voltage from the sensors (LDRs).The circuit is shown here.

 

Ø      The LDR senses the analog input in voltages between 0 to 5 volts and provides a digital number at the output which generally ranges from 0 to1023.

Ø      Now this will give feedback to the microcontroller using the arduino software (IDE).

Ø      The servo motor position can be controlled by this mechanism which is discussed later in the hardware model.

 

 

Ø      The tracker finally adjusts its position sensing the maximum intensity of light falling perpendicular to it and stays there till it notices any further change.

Ø      The sensitivity of the LDR depends on point source of light. It hardly shows any effect on diffuse lighting condition.

 

BASIC CIRCUIT DIAGRAM

An overview of the required circuit for the Dual-axes solar tracker is shown here. The 5V supply is fed from an USB 5V dc voltage source through ArduinoBoard.

Servo X :Rotates solar panel along Xdirection

Servo Y :Rotates solar panel along Ydirection

 


 

FLOW CHART


MATHEMATICAL MODEL

MATHEMATICAL EQUATIONS REQUIRED

INVERSE SQUARE LAW

            The illumination upon a surface varies inversely as the square of the distance of the surface form the source. Thus, if the illumination at a surface 1 metre from the source is I units, then the illumination at 2 metres will be I/4, at 3 metres will be I/9 and so on.

 

            In fact inverse square law operates only when the light rays are from a point source and are incident normally upon the surface.

 

            Thus illumination in lamberts/m2 on a normal plane= Candle power/ (Distance in metres)2

 

LAMBERT’S COSINE LAW

            The illumination received on a surface is proportional to the cosine of the angle between the direction of the incident light rays and normal to the surface at the point of incidence.

 

            This is mainly due to the reduction of the projected area as the angle of incidence increases.

 

Thus, the equations are:

           

where,

Eθ = illumination on horizontal plane

E = illumination due to light normally

incident θ = the angle of incidence

D = distance from the surface


HARDWARE MODEL

BLOCK DIAGRAM OF THE SOLAR TRACKER:

Shaft


EXPLANATION OF THE BLOCK DIAGRAM:

            As we see in the block diagram, there are three Light Dependent Resistors (LDRs) which are placed on a common plate with solar panel. Light from a source strikes on them by different amounts. Due to their inherent property of decreasing resistance with increasing incident light intensity, i.e. photoconductivity, the value of resistances of all the LDRs is not always same.

 

            Each LDR sends equivalent signal of their respective resistance value to the Microcontroller which is configured by required programming logic. The values are compared with each other by considering a particular LDR value as reference.

 

            One of the two dc servo motors is mechanically attached with the driving axle of the other one so that the former will move with rotation of the axle of latter one. The axle of the former servo motor is used to drive a solar panel. These two-servo motors are arranged in such a way that the solar panel can move along X-axis as well as Y-axis.

 

            The microcontroller sends appropriate signals to the servo motors based on the input signals received from the LDRs. One servo motor is used for tracking along x-axis and the other is for y-axis tracking.

 

In this way the solar tracking system is designed.

 

ARDUINO UNO

            The Arduino Uno is a microcontroller board based on the ATmega328. Arduino is an open- source, prototyping platform and its simplicity makes it ideal for hobbyists to use as well as professionals. The Arduino Uno has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to- DC adapter or battery to get started.

            The Arduino Uno differs from all preceding boards in that it does not use the FTDI USB-to- serial driver chip. Instead, it features the Atmega8U2 microcontroller chip programmed as a USB-to-serial converter.

 

            "Uno" means one in Italian and is named to mark the upcoming release of Arduino 1.0. The Arduino Uno and version 1.0 will be the reference versions of Arduno, moving forward. The Uno is the latest in a series of USB Arduino boards, and the reference model for the Arduino platform.

 

 

THE ATMEGA328P-PU ATMEL 8 BIT 32K AVR MICROCONTROLLER

            The Atmel®picoPower®ATmega328/P is a low-power CMOS 8-bit microcontroller based on the AVR® enhanced RISC architecture.

 

PIN DIAGRAM:

 

PIN Layout of ATmega328p is shown below:

 

 

AVR CPU CORE ARCHITECTURE

            The main function of the CPU core is to ensure correct program execution. The CPU must therefore be able to access memories, perform calculations, control peripherals, and handle interrupts.

 

            Flash, EEPROM, and SRAM are all integrated onto a single chip, removing the need for external memory in most applications. Some devices have a parallel external bus option to allow adding additional data memory or memory-mapped devices. Almost all devices (except the smallest Tiny AVR chips) have serial interfaces, which can be used to connect larger serial EEPROMs or flash chips.


BLOCK DIAGRAM OF AVR ARCHITECTURE

CPU

            The CPU of the AVR microcontroller is same but so simple like the one in a computer. The main purpose of the CPU is to confirm correct program performance. Therefore, the CPU must be able to access perform calculations, memories, control peripherals & handle interrupts. The CPUsofAtmel’s8-bitand32-bit AVR are based on an innovative “Harvard architecture” thus every IC has two buses namely one instruction bus and data bus. The CPU reads executable instructions in instruction bus, where in the data bus, is toread or writes the corresponding data. The CPU core of the AVR consists of the ALU, General Purpose Registers, Program Counter, Instruction Register, Instruction Decoder, Status Register and Stack Pointer


Flash Program Memory

            The program of the AVR microcontroller is stored in non-volatile programmable Flash program memory which is just similar to the flash storage in your SDC ardor Mp3Player.The Flash program memory is separated into two units. The first unit is the Application Flash section. It is where the program of the AVR is stored. The second section is named as the Boot Flash section and can be fixed to perform directly when the device is powered up. One significant fact to note is that the microcontrollers Flash program memory has a resolution of at least 10,000 writes/erase cycles.

 

SRAM

            The SRAM (Static Random Access Memory) of the AVR microcontroller is just like computer RAM. While the registers are used to execute calculations, the SRAM is used to supply data through the runtime. This volatile memory is prearranged in 8-bitregisters.

 

EEPROM

            The term EEPROM stands for Electrically Erasable Read-Only Memory is like a nonvolatile memory, but you can’t run a program from it, but it is used as longtime storage. The EEPROM doesn’t get removed when the IC loses power. It’s a great place for storing data like device parameters and configuration of the system at run time so that it can continue between resets of the application processor. One significant fact to note is that the EEPROM memory of the AVR has a limited lifetime of 100,000writes/EEPROMpage–reads are limitless. Keep this in Mind in your application and try to keep writing to a minimum, so that you only write the small amount of info required for your application every time you update the EEPROM.

 

Digital I/O Modules

            The digital I/O modules let digital communication or logic communication with the AVR microcontroller and the exterior world. Communication signals are that of TTL/CMOS logic.


Analog I/O Modules

            Analog I/O modules are used to input or output analog information from or to the exterior world. These modules comprise analog comparators and analog-to-digital converters (ADC).

 

Interrupt Unit

            Interrupts have enabled the microcontroller to monitor particular events in the background while performing and application program & respond to the occurrence if required pausing the unique program. This is all synchronized by the interrupt Unit.

 

Timer

            Most AVR microcontrollers have at least one Timer or Counter module which is used to achieve timing or counting operations in the microcontroller. These comprise time stamping, counting events, measuring intervals, etc.

 

LDR

  • It is a photo-resistor is a device whose resistivity is a function of the incident electromagnetic radiation. Hence, they are light sensitive devices. They are also called as photo conductors, photo conductive cells or simply photocells.
  • They are made up of semiconductor materials having high resistance.
  • LDR works on the principle of photoconductivity.

 

            Photo conductivity is an optical phenomenon in which the material’s conductivity is increased when light is absorbed by the material.

 

            The most common type of LDR has a resistance that falls with an increase in the light intensity falling upon the device (as shown in the image above). The resistance of an LDR may typically have the following resistances:

Daylight          =          5000Ω

Dark                =          20000000Ω

 

            Therefore, it is seen that there is a large variation between these figures. If this variation is plotted on a graph, something similar to the figure given below can be seen.

 

 

SERVO MOTOR

            ADC servo motor consists of a small DC motor, feed back potentiometer, gearbox, motor drive electronic circuit and electronic feedback control loop. It is more or less similar to the normal DC motor.

 

            The stator of the motor consists of a cylindrical frame and the magnet is attached to the inside of the frame.

 

            A brush is built with an armature coil that supplies the current to the commutator. At the back of the shaft, a detector is built into the rotor in order to detect the rotation speed. With this construction, it is simple to design a controller using simple circuitry because the torque is proportional to the amount of current flow through the armature


ADC CONCEPT IN ARDUINO UNO

 

            Arduino uno board has 6 ADC input ports. Among those any one or all of them can be used as inputs for analog voltage. The Arduino Uno ADC is of 10 bit resolution (so the integer valuesfrom(0-(2^10)1023)). This means that it will mapinputvoltagesbetween0and5volts into integer values between 0 and 1023. So, for every (5/1024= 4.9mV) perunit.

 

            The UNO ADC channels have a default reference value of 5V. This means we can give a maximum input voltage of 5V for ADC conversion at any input channel. Since some sensors provide voltages from 0-2.5V, with a 5V reference we get lesser accuracy, so we have a instruction that enables us to change this reference value. So for changing the reference value we have(“analogReference();”).

 

            As default we get the maximum board ADC resolution which is 10bits, this resolution canbe changed by using instruction(“analogReadResolution(bits);”)


SOFTWARE PROGRAM MODEL

PROGRAMMING CODE:

#include <Servo.h> Servo myservo; Servo ourservo;

int posx = 90; // initial position is top

int posy = 90;

int sens1 = A0; // (x,0) LDR int sens2 = A1; // (0,0) LDR int sens3 = A2; // (0,y) LDR int tolerance = 2;

void setup()

{

myservo.attach(9); // pin9 ourservo.attach(10); // pin10 pinMode(sens1, INPUT); pinMode(sens2, INPUT); pinMode(sens3, INPUT); myservo.write(posx); delay(1000); // buffer delay ourservo.write(posy); delay(1000);

void loop()

{

//For First Axis

int val1 = analogRead(sens1); // read sensor1

int val2 = analogRead(sens2); // read sensor2

if((abs(val1 - val2) <= tolerance) || (abs(val2 - val1) <= tolerance))

{

//do nothing

}

else {

if(val1 >val2)

{

posx = --posx;

}

if(val1 <val2)

{

posx = ++posx;

}

}

myservo.write(posx); // write the position to servo

delay(50);

int val3 = analogRead(sens3);//read sensor 3 val2 = analogRead(sens2); // read sensor

2 val3 = analogRead(sens3); // read sensor 3

//For Second Axis

if((abs(val2 - val3) <= tolerance) || (abs(val3 - val2) <= tolerance))

{

//do nothing

}

else {

if(val2 > val3)

{

posy = ++posy;

}

if(val2 <val3)

{

posy =--posy;

}

}

if(posy > 150) { posy = 150; } if(posy < 30) { posy = 30; } ourservo.write(posy); delay(50);

}


DESCRIPTION OF THE SOFTWARE PROGRAM

STEPS:

  • First of all, both the servos are declared and object is created to control the servo motors.
  • The variables posx and posy are used to store the reference servo positions.
  • The ADC input pins for LDRs are selected for dual direction movement and one for reference.
  • A tolerance or a constant value is selected to establish the working of the motors.
  • The servos are attached on digital pins to the servo object.
  • The required analog pins are selected as input using pin Mode (pin, mode)
  • The servos are sets to mid-point or original position with a1000ms or 1 sec delay to catch up with the user.
  • Three variables are chosen to read the analog values and map it into integers value between 0 and 1023.
  • If the difference between the two variables is less than the tolerance value then it will stays to its or original location else it shows movement towards the direction of maximum intensity of light by incrementing or decrementing the values of posx and posy.
  • The position is then written to servo and the loop repeats till it encounter any changes in the values of input greater than the minimum tolerance.
  • If the position becomes greater than 150˚then position will be set to 150˚only and if the position of the motor is less than 30˚then it would be kept at 30˚only as the lower and upper limit angles are chosen to be 30˚and150˚respectively

LDR PROGRAM AND GRAPH

void setup()

{

Serial.begin(9600);

}

void loop()

{

int sensorValue = analogRead(A0); Serial.println(sensorValue); delay(10);

}

 

CODE RELATING ANALOG TO DIGITAL CONVERSION

            In the program below, the very first thing that you do will in the setup function is to begin serial communications, at 9600 bits of data per second, between your board and your computer with the line:

 

Serial.begin(9600);

Next, in the main loop of your code, you need to establish a variable to store the resistance value (which will be between 0 and 1023, perfect for an int datatype) coming in from your potentiometer:

 

int sensorValue = analogRead(A0);

To change the values from 0-1023 to arrange that corresponds to the voltage the pin is reading, you'll need to create another variable, a float, and do a little math. To scale the numbers between 0.0 and 5.0, divide 5.0 by 1023.0 and multiply that by sensorValue:

float voltage= sensorValue * (5.0 / 1023.0);

Finally, you need to print this information to your serial window as. You can do this with the command Serial.println() in your last line of code:

 

Serial.println(voltage)

Now, when you open your Serial Monitor in the Arduino IDE (by clicking on the icon on the right side of the top green bar or pressing Ctrl+Shift+M), you should see a steady stream of numbers ranging from 0.0 - 5.0. As you turn the pot, the values will change, corresponding to the voltage coming into pinA0.

 

ABOUT SOLAR PANEL AND CONNECTED LOAD

  • Solar panel is placed at the top and connected to a load directly. The load may a led or a voltmeter which could be connected to get the exact voltage which depends on the intensity of light falling on the panel and the position of the tracker.
  • Concentrated solar photovoltaics’ and have optics that directly accept sunlight, so solar trackers must be angled correctly to collect energy. All concentrated solar systems have trackers because the systems do not produce energy unless directed correctly toward the sun.
  • The solar panel is just a mere device to accept the light radiation which is purely controlled by LDR sensors and the load connected depends upon the rating of the panel used.

 

 

DUAL AXIS MOVEMENT OF SOLAR TRACKER

  • The dual axis solar tracker is device which senses the light and positions towards the maximum intensity of light. It is made in such away to track the light coming from any direction.
  • To simulate the general scenario of the Sun’s movement, the total coverage of the movement of the tracker is considered as 120˚ in both the directions.
  • The initial position of both the servo motors are chosen at 90˚i.e, for east-west servo motor as well as for north-south servomotor.
  • Thepositionofthetrackerascendsordescendsonlywhenthethresholdvalueisabove the tolerance limit.

            


Approximation of power output (red line) compared to maximum output (blueline) for a fix mounted solar module:

 

BENEFITS AND DEMERITS OF SOLAR ENERGY

            There are several benefits that solar energy has and which make it favourable for many uses.

 

Benefits:

  • Solar energy is a clean and renewable energy source.
  • Once a solar panel is installed, the energy is produced at reduced costs.
  • Whereas the reserves of oil of the world are estimated to be depleted in future, solar energy will last forever.
  • It is pollution free.
  • Solar cells are free of any noise. On the other hand, various machines used for pumping oil or for power generation are noisy.
  • Once solar cells have been installed and running, minimal maintenance is required. Some solar panels have no moving parts, making them to last even longer with no maintenance.
  • On average, it is possible to have a high return on investment because of the free energy solar panels produce.
  • Solar energy can be used in very remote areas where extension of the electricity power grid is costly.

 

Demerits:

  • Solar panels can be costly to install resulting in a time lag of many years for savings on energy bills to match initial investments.
  • Generation of electricity from solar is dependent on the country’s exposure to sunlight. That means some countries are slightly disadvantaged.
  • Solar power stations do not match the power output of conventional power stations of similar size. Furthermore, they may be expensive to build.
  • Solar power is used for charging large batteries so that solar powered devices can be used in the night. The batteries used can be large and heavy, taking up plenty of space and needing frequent replacement.

 

FINALLY,

            As the merits are more than the demerits, the use of solar power is considered as a clean and viable source of energy. The various limitations can be reduced through various ways.

 

OBSERVATIONS AND RESULT

WHAT WE HAVE OBSERVED....

            In this Dual Axis Solar Tracker, when source light falls on the panel, the panel adjusts its position according to maximum intensity of light falling perpendicular to it.  The objective of the project is completed. This was achieved through using light sensors that are able to detect the amount of sunlight that reaches the solar panel. The values obtained by the LDRs are compared and if there is any significant difference, there is actuation of the panel using a servo motor to the point where it is almost perpendicular to the rays of the sun.


            Thiswasachievedusingasystemwiththreestagesorsubsystems.Eachstagehasitsownrole. The stages were;

  • An input stage that was responsible for converting incident light to a voltage.
  • A control stage that was responsible for controlling actuation and decision making.
  • A driver stage with the servo motor. It was responsible for actual movement of the panel.

 

            The input stage is designed with a voltage divider circuit so that it gives desired range of illumination for bright illumination conditions or when there is dim lighting. The potentiometer was adjusted to cater for such changes. The LDRs were found to be most suitable for this project because their resistance varies with light. They are readily available and are cost effective. Temperature sensors for instance would be costly.

 

            The control stage has a microcontroller that receives voltages from the LDRs and determines the action to be performed. The microcontroller is programmed to ensure it sends a signal to the servo motor that moves in accordance with the generated error.

 

            The final stage was the driving circuitry that consisted mainly of the servo motor. The servo motor had enough torque to drive the panel. Servo motors are noise free and are affordable, making them the best choice for the project.


CHAPTER 7

CONCLUSION

 

            In this 21st century, as we build up our technology, population & growth, the energy consumption per capita increases exponentially, as well as our energy resources (e.g. fossils fuels) decrease rapidly. So, for sustainable development, we have to think alternative methods (utilization of renewable energy sources) in order to fulfill our energy demand.

 

            In this project, Dual Axis Solar Tracker, we’ve developed a demo model of solar tracker to track the maximum intensity point of light source so that the voltage given at that point by the solar panel is maximum. After a lot of trial and errors we’ve successfully completed our project and we are proud to invest some effort for our society. Now, like every other experiment, this project has couple of imperfections.

 

i.                    Our panel senses the light in a sensing zone, beyond which it fails to respond.

ii.                  If multiple sources of light (i.e. diffused light source) appear on panel, it calculates the vector sum of light sources & moves the panel in that point.

 

            This project was implemented with minimal resources. The circuitry was kept simple, understandable and user friendly.


SPECIFICATIONS OF THE HARDWARE REQUIREMENT

 

FEATURES OF ARDUINOUNO

  1. Microcontroller: ATMEGA328P

            The Atmel®picoPower®ATmega328/P is a low-power CMOS 8-bitmicrocontroller based on the AVR® enhanced RISC architecture.

FEATURES:

High Performance, Low Power Atmel®AVR® 8-Bit Microcontroller Family

  • Advanced RISC Architecture
    • 131 Powerful Instructions
    • Most Single Clock Cycle Execution
    • 32 x 8 General Purpose Working Registers
    • Fully Static Operation
    • Up to 20 MIPS Throughput at20MHz
    • On-chip 2-cycleMultiplier
  • High Endurance Non-volatile MemorySegments
    • 32KBytes of In-System Self-Programmable Flash program Memory
    • 1KBytesEEPROM
    • 2KBytes Internal SRAM
    • Write/Erase Cycles: 10,000 Flash/100,000EEPROM
    • Data Retention: 20 years at 85°C/100 years at25°C(1)
    • Optional Boot Code Section with Independent LockBits
  • In-System Programming by On-chip BootProgram
  • True Read-While-WriteOperation
    • Programming Lock for SoftwareSecurity

 

  1. Operating Voltage:5v
  2. Input Voltage (recommended):7-12V
  3. Input Voltage (limits):6-20V
  4. Digital I/O Pins: 14 (of which 6 provide PWMoutput)
  5. Analog Input Pins:6
  6. DC Current per I/O Pin: 40mA
  7. DC Current for 3.3V Pin: 50mA
  8. Flash Memory: 32 KB of which 0.5 KB used bybootloader
  9. SRAM: 2 KB(ATmega328)
  10. EEPROM: 1 KB(ATmega328)
  11. Clock Speed: 16MHz

 

SOLARPANEL

  1. Maximum Voltage: 4volts (underload)
  2. Maximum Voltage: 4.8volts (noload)
  3. Rated Current:100mA
  4. Dimension: 6 cm (L) x 6 cm (W) x 0.25 cm(t)
  5. Maximum Wattage:0.5W

 

LIGHT DEPENDEN TRESISTOR

Photoresistor 5mm GL5516 LDR Photo Resistors Light-Dependent Resistor Model: GL5516

  • Size: 5mm x2mm
  • Maximum Voltage: 150 VoltDC
  • Maximum Wattage:90mW
  • Operating Temperature: (-30 to+70)°C
  • Spectral Peak:540nm
  • Light Resistance (at 10 Lux): 5-10kΩ
  • Dark Resistance: 0.5MΩ
  • Response time: 20ms (Rise), 30ms(Down)
  • Resistance Illumination: 4

 

AVENUES FOR FURTHER WORK

            With the available time and resources, the objective of the project was met. The project is able to be implemented on a much larger scale. For future projects, one may consider the use of more efficient sensors, which should also be cost effective and consume little power.


            This would further enhance efficiency while reducing costs. If there is the possibility of further reducing the cost of this project, it would help a great deal. This is because whether or not such projects are embraced is dependent on how cheap they can be. Shading has adverse effects on the operation of solar panels. Shading of a single cell will have an effect on the entire panel because the cells are usually connected in series. With shading therefore, the tracking system will not be able to improve efficiency as is required.


 


REFERENCES

 

 

[1]        Solar Tracking Hardware and Software by Gerro JPrinsloo

 

[2]        Design and Implementation of a Sun Tracker with a Dual-Axis Single Motor          “Jing-Min Wang and Chia-LiangLu’’

 

[3]        Sensors and Transducers...Second Edition...’’D.Patranabis”

 

[4]        Atmel ATmega48A/PA/88A/PA/168A/PA/328/P-datasheet

 

[5]        Utilisation of Electrical Power. Author, Er. R. K.Rajput.

 

[6]        Arduino Programming Book. Author, Brian W.Evans

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