IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v133y2019icp1158-1166.html
   My bibliography  Save this article

New approach for solar tracking systems based on computer vision, low cost hardware and deep learning

Author

Listed:
  • Carballo, Jose A.
  • Bonilla, Javier
  • Berenguel, Manuel
  • Fernández-Reche, Jesús
  • García, Ginés

Abstract

In this work, a new approach for Sun tracking systems is presented. Due to the current system limitations regarding costs and operational problems, a new approach based on low cost, computer vision open hardware and deep learning has been developed. The preliminary tests carried out successfully in Plataforma solar de Almería (PSA), reveal the great potential and show the new approach as a good alternative to traditional systems. The proposed approach can provide key variables for the Sun tracking system control like cloud movements prediction, block and shadow detection, atmospheric attenuation or measures of concentrated solar radiation, which can improve the control strategies of the system and therefore the system performance.

Suggested Citation

  • Carballo, Jose A. & Bonilla, Javier & Berenguel, Manuel & Fernández-Reche, Jesús & García, Ginés, 2019. "New approach for solar tracking systems based on computer vision, low cost hardware and deep learning," Renewable Energy, Elsevier, vol. 133(C), pages 1158-1166.
    • Handle: RePEc:eee:renene:v:133:y:2019:i:c:p:1158-1166
    DOI: 10.1016/j.renene.2018.08.101
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118310516
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.08.101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nsengiyumva, Walter & Chen, Shi Guo & Hu, Lihua & Chen, Xueyong, 2018. "Recent advancements and challenges in Solar Tracking Systems (STS): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 250-279.
    2. Chiesi, Matteo & Franchi Scarselli, Eleonora & Guerrieri, Roberto, 2017. "Run-time detection and correction of heliostat tracking errors," Renewable Energy, Elsevier, vol. 105(C), pages 702-711.
    3. Ballestrín, J. & Monterreal, R., 2004. "Hybrid heat flux measurement system for solar central receiver evaluation," Energy, Elsevier, vol. 29(5), pages 915-924.
    4. Olav H. Hohmeyer & Sönke Bohm, 2015. "Trends toward 100% renewable electricity supply in Germany and Europe: a paradigm shift in energy policies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(1), pages 74-97, January.
    5. Mousazadeh, Hossein & Keyhani, Alireza & Javadi, Arzhang & Mobli, Hossein & Abrinia, Karen & Sharifi, Ahmad, 2009. "A review of principle and sun-tracking methods for maximizing solar systems output," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1800-1818, October.
    6. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Max Pargmann & Jan Ebert & Markus Götz & Daniel Maldonado Quinto & Robert Pitz-Paal & Stefan Kesselheim, 2024. "Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Li, Guannan & Chen, Liang & Liu, Jiangyan & Fang, Xi, 2023. "Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis," Energy, Elsevier, vol. 263(PD).
    3. Sun, Leihou & Bai, Jianbo & Pachauri, Rupendra Kumar & Wang, Shitao, 2024. "A horizontal single-axis tracking bracket with an adjustable tilt angle and its adaptive real-time tracking system for bifacial PV modules," Renewable Energy, Elsevier, vol. 221(C).
    4. Sridharan Naveen Venkatesh & Vaithiyanathan Sugumaran, 2022. "A combined approach of convolutional neural networks and machine learning for visual fault classification in photovoltaic modules," Journal of Risk and Reliability, , vol. 236(1), pages 148-159, February.
    5. Satué, Manuel G. & Castaño, Fernando & Ortega, Manuel G. & Rubio, Francisco R., 2020. "Power feedback strategy based on efficiency trajectory analysis for HCPV sun tracking," Renewable Energy, Elsevier, vol. 161(C), pages 65-76.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tibúrcio, B.D. & Liang, D. & Almeida, J. & Garcia, D. & Catela, M. & Costa, H. & Vistas, C.R., 2022. "Tracking error compensation capacity measurement of a dual-rod side-pumping solar laser," Renewable Energy, Elsevier, vol. 195(C), pages 1253-1261.
    2. Pirayawaraporn, Alongkorn & Sappaniran, Sahapol & Nooraksa, Sarawin & Prommai, Chanon & Chindakham, Nachaya & Jamroen, Chaowanan, 2023. "Innovative sensorless dual-axis solar tracking system using particle filter," Applied Energy, Elsevier, vol. 338(C).
    3. Barbón, A. & Bayón-Cueli, C. & Bayón, L. & Rodríguez-Suanzes, C., 2022. "Analysis of the tilt and azimuth angles of photovoltaic systems in non-ideal positions for urban applications," Applied Energy, Elsevier, vol. 305(C).
    4. Rodríguez-Sánchez, M.R. & Leray, C. & Toutant, A. & Ferriere, A. & Olalde, G., 2019. "Development of a new method to estimate the incident solar flux on central receivers from deteriorated heliostats," Renewable Energy, Elsevier, vol. 130(C), pages 182-190.
    5. Shitao Wang & Yi Shen & Junbing Zhou & Caixia Li & Lijun Ma, 2022. "Efficiency Enhancement of Tilted Bifacial Photovoltaic Modules with Horizontal Single-Axis Tracker—The Bifacial Companion Method," Energies, MDPI, vol. 15(4), pages 1-22, February.
    6. Achkari, O. & El Fadar, A. & Amlal, I. & Haddi, A. & Hamidoun, M. & Hamdoune, S., 2021. "A new sun-tracking approach for energy saving," Renewable Energy, Elsevier, vol. 169(C), pages 820-835.
    7. Nurzhigit Kuttybay & Ahmet Saymbetov & Saad Mekhilef & Madiyar Nurgaliyev & Didar Tukymbekov & Gulbakhar Dosymbetova & Aibolat Meiirkhanov & Yeldos Svanbayev, 2020. "Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions," Energies, MDPI, vol. 13(19), pages 1-18, October.
    8. Hai Wang & Jin Huang & Mengjie Song & Yanxin Hu & Yunfeng Wang & Zijian Lu, 2018. "Simulation and Experimental Study on the Optical Performance of a Fixed-Focus Fresnel Lens Solar Concentrator Using Polar-Axis Tracking," Energies, MDPI, vol. 11(4), pages 1-16, April.
    9. Jamroen, Chaowanan & Fongkerd, Chanon & Krongpha, Wipa & Komkum, Preecha & Pirayawaraporn, Alongkorn & Chindakham, Nachaya, 2021. "A novel UV sensor-based dual-axis solar tracking system: Implementation and performance analysis," Applied Energy, Elsevier, vol. 299(C).
    10. Singh, Rajesh & Kumar, Suresh & Gehlot, Anita & Pachauri, Rupendra, 2018. "An imperative role of sun trackers in photovoltaic technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3263-3278.
    11. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    12. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    13. Shuhao Chang & Qiancheng Wang & Haihua Hu & Zijian Ding & Hansen Guo, 2018. "An NNwC MPPT-Based Energy Supply Solution for Sensor Nodes in Buildings and Its Feasibility Study," Energies, MDPI, vol. 12(1), pages 1-20, December.
    14. Leonard Goke & Jens Weibezahn & Christian von Hirschhausen, 2021. "A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios," Papers 2112.04821, arXiv.org, revised Dec 2022.
    15. Zimmerman, Ryan & Panda, Anurag & Bulović, Vladimir, 2020. "Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels," Applied Energy, Elsevier, vol. 276(C).
    16. Al-Nimr, Moh'd.A. & Dawahdeh, Ahmad I., 2023. "A novel hybrid reverse osmosis and flash desalination system powered by solar photovoltaic/thermal collectors," Renewable Energy, Elsevier, vol. 218(C).
    17. Barbón, A. & Fortuny Ayuso, P. & Bayón, L. & Silva, C.A., 2023. "Experimental and numerical investigation of the influence of terrain slope on the performance of single-axis trackers," Applied Energy, Elsevier, vol. 348(C).
    18. Zhong, Qing & Tong, Daoqin, 2020. "Spatial layout optimization for solar photovoltaic (PV) panel installation," Renewable Energy, Elsevier, vol. 150(C), pages 1-11.
    19. Carlo Renno & Michele De Giacomo, 2014. "Dynamic Simulation of a CPV/T System Using the Finite Element Method," Energies, MDPI, vol. 7(11), pages 1-20, November.
    20. Chin, C.S. & Babu, A. & McBride, W., 2011. "Design, modeling and testing of a standalone single axis active solar tracker using MATLAB/Simulink," Renewable Energy, Elsevier, vol. 36(11), pages 3075-3090.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:133:y:2019:i:c:p:1158-1166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.