Design and implement of smart relay based two axis sun traking system

2011 ◽  
Vol 7 (1) ◽  
pp. 64-68
Author(s):  
jawad Mahmoodm ◽  
Haider Muhammed
Keyword(s):  
Solar Power ◽  
Tracking System ◽  
Power Source ◽  
Maximum Power ◽  
The Sun ◽  
Environment Friendly ◽  
Pv Array ◽  
Irradiation Level

Solar power is environment friendly power source, but is characterized by being highly dependent on the irradiation level which is function of the sun position on the sky. to overcome this ssituation and extract maximum power from the sun, th PV array must be kept nearly perpendicular to the sun during the daytime. in this paper, a smart relay based sun tracking system has been designed and implemented tp keep the PV array perpendicular to the sun during the day hours.

Design and Implementation of Neuro-Fuzzy Controller Using FPGA for Sun Tracking System

2016 ◽  
Vol 12 (2) ◽  
pp. 123-136 ◽  
Author(s):  
Ammar Aldair ◽  
Adel Obed ◽  
Ali Halihal
Keyword(s):  
Optical Sensors ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Tracking System ◽  
Maximum Power ◽  
Experimental Results ◽  
The Sun ◽  
Fixed Angle ◽  
Pv Panel ◽  
Neuro Fuzzy

Nowadays, renewable energy is being used increasingly because of the global warming and destruction of the environment. Therefore, the studies are concentrating on gain of maximum power from this energy such as the solar energy. A sun tracker is device which rotates a photovoltaic (PV) panel to the sun to get the maximum power. Disturbances which are originated by passing the clouds are one of great challenges in design of the controller in addition to the losses power due to energy consumption in the motors and lifetime limitation of the sun tracker. In this paper, the neuro-fuzzy controller has been designed and implemented using Field Programmable Gate Array (FPGA) board for dual axis sun tracker based on optical sensors to orient the PV panel by two linear actuators. The experimental results reveal that proposed controller is more robust than fuzzy logic controller and proportional-integral (PI) controller since it has been trained offline using Matlab tool box to overcome those disturbances. The proposed controller can track the sun trajectory effectively, where the experimental results reveal that dual axis sun tracker power can collect 50.6% more daily power than fixed angle panel. Whilst one axis sun tracker power can collect 39.4 % more daily power than fixed angle panel. Hence, dual axis sun tracker can collect 8 % more daily power than one axis sun tracker.

scholarly journals Maximum power point tracking of a solar PV array using single stage three phase inverter

2018 ◽  
Vol 7 (2.31) ◽  
pp. 97 ◽  
Author(s):  
M Jayakumar ◽  
V Vanitha ◽  
V Jaisuriya ◽  
M Karthikeyan ◽  
George Daniel ◽  
...  
Keyword(s):  
Solar Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Three Phase ◽  
Power Point

Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power.  MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed.  The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. 

Design and Implementation of Dual-Axis Solar Tracking System with GSM Fault Reporting Capability

2013 ◽  
Vol 724-725 ◽  
pp. 43-51 ◽  
Author(s):  
Yu En Wu ◽  
Kuo Chan Huang
Keyword(s):  
Power System ◽  
Power Efficiency ◽  
Solar Power ◽  
Tracking System ◽  
Elevation Angle ◽  
Azimuth Angle ◽  
The Sun ◽  
Solar Panels ◽  
Sensing Element ◽  
Solar Tracking

This paper presents a smart dual-axis solar tracking system, its architecture includes sensors, embedded controllers, AC motors, Integrated electric putter design biaxial institutions, and the GSM automatic report of fault notification, to achieve autonomous tracking solar track system and adjust the solar panels to reach the maximum smooth by tracking the solar azimuth angle and elevation angle, and ensure that the solar panels with the sun to maintain the vertical in any time and any place, thus achieving the best power efficiency. This system proposed a dual-axis design, and an embedded controller used as the main system controller to detect voltage difference and determine the solar azimuth angle with four groups of CDS as a sensing element. To lock the sun, the solar panels be perpendicular via the moving of AC motor (EW) and motorized faders (north-south). The control system software using C language can be extremely fast and accurate tracking of the solar angle, and dual-axis operation with recovery mode to save the power loss. Finally, we have the actual analysis and verification of benefit of power generation in this paper, from this experimental results, we can verify the integration of build dual-axis solar tracking system and solar power system have promoted 30% generating power capacity more than fixed solar power system and has low failure rate. It can improve the problem of traditional tracking system reliability and greatly enhance the usefulness of this system.

scholarly journals IMPROVING THE EFFICIENCY OF A PHOTOVOLTAIC SYSTEM BY INCORPORATING TRACKING SYSTEM AND MPPT: A REVIEW

2018 ◽  
Vol 17 (1) ◽  
pp. 57
Author(s):  
S Udhayakumar ◽  
R A Sindhu ◽  
R Srivasthan ◽  
Y Yogaraj
Keyword(s):  
Tracking System ◽  
Power Conversion ◽  
Maximum Power ◽  
Photovoltaic System ◽  
The Sun ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The harvesting of solar energy is gaining increasing attention as it is pollution free and is available in abundance. Various researches and experiments are being carried out to improve the efficiency of power conversion by altering the material of the photovoltaic panels, by incorporating tracking systems and by making use of Maximum Power Point Tracking (MPPT) algorithms. The conventional rigidly fixed solar panels limit their area of exposure to the sun during the entire day. The use of tracker increases the area of panel exposed to direct beam of the sun, thus increasing the power generated. MPPT algorithm tracks the maximum power point attained at all loads and extracts the power from the panel at that voltage. Despite the variations in the external environment, the power obtained from the panel is always maximum. This paper reviews various tracking methods and MPPT techniques to increase the energy harvesting capacity of the panel and in turn improve its efficiency.

MEDIUM SIZE DUAL-AXIS SOLAR TRACKING SYSTEM WITH SUNLIGHT INTENSITY COMPARISON METHOD AND FUZZY LOGIC IMPLEMENTATION

2015 ◽  
Vol 77 (17) ◽  
Author(s):  
Azwaan Zakariah ◽  
Mahdi Faramarzi ◽  
Jasrul Jamani Jamian ◽  
Mohd Amri Md Yunus
Keyword(s):  
Fuzzy Logic ◽  
Solar Irradiance ◽  
Fuzzy Logic Controller ◽  
Solar Power ◽  
Tracking System ◽  
Medium Size ◽  
The Sun ◽  
Solar Pv ◽  
Pv Panel ◽  
Solar Tracking

Nowadays, renewable energy such as solar power has become important for electricity generation, and solar power systems have been installed in homes. Furthermore, solar tracking systems are being continuously improved by researchers around the world, who focus on achieving the best design and thus maximizing the efficiency of the solar power system. In this project, a fuzzy logic controller has been integrated and implemented in a medium-scale solar tracking system to achieve the best real-time orientation of a solar PV panel toward the sun. This project utilized dual-axis solar tracking with a fuzzy logic intelligent method. The hardware system consists of an Arduino UNO microcontroller as the main controller and Light Dependent Resistor (LDR) sensors for sensing the maximum incident intensity of solar irradiance. Initially, two power window motors (one for the horizontal axis and the other for the vertical axis) coordinate and alternately rotate to scan the position of the sun. Since the sun changes its position all the time, the LDR sensors detect its position at five-minute intervals through the level of incident solar irradiance intensity measured by them. The fuzzy logic controller helps the microcontroller to give the best inference concerning the direction to which the solar PV panel should rotate and the position in which it should stay. In conclusion, the solar tracking system delivers high efficiency of output power with a low power intake while it operates.

Development of inexpensive, simple and environment-friendly solar selective absorber using copper nanoparticle

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Aditi Yerudkar ◽  
Mamta Nair ◽  
Vishwanath H. Dalvi ◽  
Sudhir V. Panse ◽  
Vineeta D. Deshpande ◽  
...  
Keyword(s):  
Copper Nanoparticles ◽  
Thermal Energy ◽  
Solar Power ◽  
Solar Spectrum ◽  
Precursor Solution ◽  
The Sun ◽  
Copper Nanoparticle ◽  
Environment Friendly ◽  
Maximum Heat ◽  
Receiver System

Abstract Concentrating solar power is the most challenging and expensive yet highly efficient source of thermal energy from solar power. This is mainly due to the intermittency of the sun rays and expensive materials used to harness its energy. One of the main components adding to the cost is the solar selective absorber materials which are simply put spectrally selective coatings on a receiver system to capture maximum heat from the sun. These materials add to a large extent to the efficiency of converting the sun’s energy to thermal energy and in turn electricity. An ideal solar selective absorber possesses the property of absorbing maximum radiations in the solar spectrum and emit minimum in the thermal energy spectrum. In the current study, an inexpensive, simple and environment-friendly solar selective absorber is fabricated by a galvanic displacement reaction of copper nanoparticles on galvanised metal substrates. These copper nanoparticles have high absorptivity (0.8–0.9) by virtue of plasmon resonance property. The emissivity is low due to the highly reflective metal substrate. By varying size of the copper nanoparticles from 100 nm to 2 μm emissivity and absorptivity can be varied. However, achieving low emissivity and high absorptivity requires some optimising. The size depends on the concentration of precursor solution and immersion time of substrate. One of the remedies for controlling the deposition rate to tune the nanoparticle size and microstructure of deposited copper nanoparticle is by addition of a deposition inhibitor (e.g. Polyethylene glycol).

scholarly journals System Identification of a Solar Maximum Power Point Tracking System for Dual Axis

2019 ◽  
Vol 8 (12) ◽  
pp. 5653-5657
Keyword(s):  
Power Generation ◽  
Solar Power ◽  
Tracking System ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Solar Power Generation ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The project is on Maximum efficiency of a solar panel. As the sun is not constant at one place and by fixing the solar array at one place, maximum power generation is not possible. This project develops a solar power generation system using maximum power point tracking system. More direct sun light on Photovoltaic (PV) modules leads to enhanced energy yield. Therefore, tracking systems are implemented to improve the performance of PV system by tracking sun trajectory. The current design of Maximum Power Point Tracking (MPPT) trackers are more efficient than conventional single state solar power generation. Then by comparing two designs initially produced, Maximum Power Point Tracking (MPPT) tracking devices are found to be at better efficiency than static models. The system locates maximum- power generating point using an MPPT controller. The base line results of this study were obtained via physical implementation of simulated system to analyze the various parameters. The system then uses a quadratic-equation based algorithm that calculates the quadratic function corresponding to the maximum power generation point. With the advent of different applications of PV solar power, system planners have been implementing different strategies and techniques to maximize the output of solar system with commonly available technology in market. Additionally, various mathematical techniques were utilized to analyze the results gathered from the physical implementation. The simulation results also implemented to compare between the hardware and software of the project. The comparison of static Photovoltaic output graphs with real time measured values for the systems and a Dynamic Photovoltaic Maximum power point Solar Tracker (MPPT) system was observed. Both PV systems were implemented practically to get appropriate results and mainly all the equipment and services utilized in installation are widely available in local market.

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