A Solar Position Sensor Based on Image Vision
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/17/8/1742 |
| _version_ | 1811301397516255232 |
|---|---|
| author | Adolfo Ruelas Nicolás Velázquez Carlos Villa-Angulo Alexis Acuña Pedro Rosales José Suastegui |
| author_facet | Adolfo Ruelas Nicolás Velázquez Carlos Villa-Angulo Alexis Acuña Pedro Rosales José Suastegui |
| author_sort | Adolfo Ruelas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:08:08Z |
| format | Article |
| id | doaj.art-cfa69370dbdd4054832104254b1a8101 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:08:08Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cfa69370dbdd4054832104254b1a81012022-12-22T02:56:57ZengMDPI AGSensors1424-82202017-07-01178174210.3390/s17081742s17081742A Solar Position Sensor Based on Image VisionAdolfo Ruelas0Nicolás Velázquez1Carlos Villa-Angulo2Alexis Acuña3Pedro Rosales4José Suastegui5Facultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juárez S/N, Mexicali 21280, MexicoInstituto de Ingeniería, Universidad Autónoma de Baja California, Calle de la Normal S/N, Mexicali 21280, MexicoInstituto de Ingeniería, Universidad Autónoma de Baja California, Calle de la Normal S/N, Mexicali 21280, MexicoFacultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juárez S/N, Mexicali 21280, MexicoFacultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juárez S/N, Mexicali 21280, MexicoFacultad de Ingeniería, Universidad Autónoma de Baja California, Blvd. Benito Juárez S/N, Mexicali 21280, MexicoSolar 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.https://www.mdpi.com/1424-8220/17/8/1742trackingvisionsolar position |
| spellingShingle | Adolfo Ruelas Nicolás Velázquez Carlos Villa-Angulo Alexis Acuña Pedro Rosales José Suastegui A Solar Position Sensor Based on Image Vision Sensors tracking vision solar position |
| title | A Solar Position Sensor Based on Image Vision |
| title_full | A Solar Position Sensor Based on Image Vision |
| title_fullStr | A Solar Position Sensor Based on Image Vision |
| title_full_unstemmed | A Solar Position Sensor Based on Image Vision |
| title_short | A Solar Position Sensor Based on Image Vision |
| title_sort | solar position sensor based on image vision |
| topic | tracking vision solar position |
| url | https://www.mdpi.com/1424-8220/17/8/1742 |
| work_keys_str_mv | AT adolforuelas asolarpositionsensorbasedonimagevision AT nicolasvelazquez asolarpositionsensorbasedonimagevision AT carlosvillaangulo asolarpositionsensorbasedonimagevision AT alexisacuna asolarpositionsensorbasedonimagevision AT pedrorosales asolarpositionsensorbasedonimagevision AT josesuastegui asolarpositionsensorbasedonimagevision AT adolforuelas solarpositionsensorbasedonimagevision AT nicolasvelazquez solarpositionsensorbasedonimagevision AT carlosvillaangulo solarpositionsensorbasedonimagevision AT alexisacuna solarpositionsensorbasedonimagevision AT pedrorosales solarpositionsensorbasedonimagevision AT josesuastegui solarpositionsensorbasedonimagevision |