Design of a Solar Tracking System Using the Brightest Region in the Sky Image Sensor

Wei, Chia Chien; Yi, Song; Chang, Chia‐Chi; Lin, Chuan-Bi

doi:10.3390/s16121995

Cited by 26 publications

(10 citation statements)

References 15 publications

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“…The last case of Figure 7 e illustrates that the circumference of the Sun is affected by the intense overcast, but despite this, in the next shot ( Figure 7 f) we can see that the image from the image sensor is again clear, as if it were not cloudy. With these tests we can verify that the filter performs a perfect job at attenuating perturbations presented in this type of application [ 29 ]. The type of lens plays an important role in the capture of the image in the vision sensors, as demonstrated in the work of Lee et al [ 24 ] which showed that the aperture of the lens helps improve the accuracy of the detection of the Sun.…”

Section: Resultsmentioning

confidence: 99%

“…For closed-loop systems, differential light sensors based on phototransistors [ 14 , 15 , 16 ], photo resistors [ 9 , 17 , 18 ] photovoltaic cells [ 19 , 20 ] and image processing based systems [ 21 , 22 , 23 , 24 , 25 ] are used. For the third strategy, a hybrid is used, on which the Sun´s position is calculated to locate it to a nearby focus point, and from then on, the sensor itself makes a precise adjustment [ 26 , 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

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A Solar Position Sensor Based on Image Vision

Ruelas

Velázquez

Villa-Angulo

et al. 2017

Sensors

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Solar collector technologies operate with better performance when the Sun beam direction is normal to the capturing surface, and for that to happen despite the relative movement of the Sun, solar tracking systems are used, therefore, there are rules and standards that need minimum accuracy for these tracking systems to be used in solar collectors’ evaluation. Obtaining accuracy is not an easy job, hence in this document the design, construction and characterization of a sensor based on a visual system that finds the relative azimuth error and height of the solar surface of interest, is presented. With these characteristics, the sensor can be used as a reference in control systems and their evaluation. The proposed sensor is based on a microcontroller with a real-time clock, inertial measurement sensors, geolocation and a vision sensor, that obtains the angle of incidence from the sunrays’ direction as well as the tilt and sensor position. The sensor’s characterization proved how a measurement of a focus error or a Sun position can be made, with an accuracy of 0.0426° and an uncertainty of 0.986%, which can be modified to reach an accuracy under 0.01°. The validation of this sensor was determined showing the focus error on one of the best commercial solar tracking systems, a Kipp & Zonen SOLYS 2. To conclude, the solar tracking sensor based on a vision system meets the Sun detection requirements and components that meet the accuracy conditions to be used in solar tracking systems and their evaluation or, as a tracking and orientation tool, on photovoltaic installations and solar collectors.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Solar Position Sensor Based on Image Vision

Ruelas

Velázquez

Villa-Angulo

et al. 2017

Sensors

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show abstract

“…Seperti halnya sumber cahaya matahari, lampu akan menghasilkan sinar yang menyebar. Segmentasi lampu ketika menyala yang salah akan menghasilkan area lamp lebih besar dari pada sebenarnya yaitu ketika padam, disebabkan oleh sebaran cahayanya ikut diartikan sebagai nyala lampu [7].Penelitian ini bertujuan untuk membandingkan segmentasi lampu ketika padam dan ketika menyala sehingga dapat dijustifikasi akurasi dari sistem yang dibuat.…”

Section: Pendahuluanunclassified

“…Bobot telur ayam diperoleh dari perhitungan luasan hasil segmentasi telur ayam yang dihasilkan. Disisi lain, pencitraan nyala lampu dapat dianalogikan dengan pencitraan sinar matahari [7,10,11]. Keduanya menggunakan thresholding untuk mendapatkan citra sinar matahari.…”

Section: Pendahuluanunclassified

Digital Imaging Light Energy Saving Lamp Based On A Single Board Computer

Bangsawan¹,

Hanafi²,

Suryana³

2020

RESTI

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Computer Vision (CV) is an interdisciplinary scientific field that discusses how computers can gain a high-level understanding of digital images or video. A system has been created that is capable of detecting a compact fluoresence lamp (CFL) light. However, in previous research there is no justification that the lamp is only a part that can glow on the lamp alone and has not been done in multi-lamp testing. This study aims to compare the lamp segmentation when it goes OFF and ON so that it could be justified the accuracy of this system and does multi-lamp testing. The method used is an experiment with collecting data by direct observation of the results of the system made. The system consists of a single board computer and a common webcam. The result is the difference between the lamp segmentation when it goes OFF and ON is small with the appropriate threshold setting. So that lamp light imaging had been made could function with good reability.

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“…In presented paper there is a Dual axis solar tracker which has two degrees of freedom acting as axes of rotation for the panel. Axes are kept normal to each other by rotating simultaneously longitude and latitude, they are also capable of pointing the sun's radiation perpetually [6][7]. By referring another research in which sensing of sun's position is been done through two stages, first stage which is also termed as direct sensing is been performed via aid of set of LDR sensors as output tuning for trimming both the angles which are azimuth and altitude.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Solar Tracker on Solar Panel

Rizvi

Haque

Arshad

2020

jictra

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Energy is the necessity having utmost importance, also is a priority factor for the development of modern era countries. Current time calls for the bulk of energy supply as various nations are on the verge of the energy crisis, RE (Renewable Energy) resources like wind systems, solar panels, and tidal wave, etc. are the best options available in the current era for energy supply. The most abundant resource of RE is the solar system which is available from the sun itself. The sun is the source of sufficient energy supply and it can be used throughout the year. Electricity generation due to the reduction of fuels is the biggest challenge that will have adverse effects to be faced in the upcoming future. Electricity generation via solar energy is costly. Energy from PV (Photovoltaic) cells depends on solar insulation. Maximum energy extracted from the sun by the plane of the solar collector should be normal to incident radiation. Improving efficiency by the change in design then implement on solar tracker system to collect maximum solar power extraction with the association of the panels and the sun itself. The system tracks the maximum intensity of light by adjusting the panels to normal to incident light. The sun tracking system uses four light-dependent resistors used as a sensor for finding a brighter point in the sky. Rotating DC Motor can be controlled via signal and data processing based on micro-controller, by doing so the performance parameters of this system are now dependent on features such as solar radiation, hourly electrical power, the maximum gain of energy, additionally short circuit and open circuit current are compared with the fixed-tilt solar collector.

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Design of a Solar Tracking System Using the Brightest Region in the Sky Image Sensor

Cited by 26 publications

References 15 publications

A Solar Position Sensor Based on Image Vision

A Solar Position Sensor Based on Image Vision

Digital Imaging Light Energy Saving Lamp Based On A Single Board Computer

Design and Implementation of Solar Tracker on Solar Panel

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