IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i15p3721-d1444765.html
   My bibliography  Save this article

Solar Energy Received on Flat-Plate Collectors Fixed on 2-Axis Trackers: Effect of Ground Albedo and Clouds

Author

Listed:
  • Harry D. Kambezidis

    (Atmospheric Research Team, Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Nymphon, GR-11810 Athens, Greece
    Laboratory of Soft Energies and Environmental Protection, University of West Attica, P. Ralli & Thivon 250, GR-12244 Egaleo, Greece)

  • Kosmas A. Kavadias

    (Laboratory of Soft Energies and Environmental Protection, University of West Attica, P. Ralli & Thivon 250, GR-12244 Egaleo, Greece)

  • Ashraf M. Farahat

    (Department of Physics, College of General Studies, King Fahd University of Petroleum and Minerals, Dhahran SA-31261, Saudi Arabia
    Centre of Research Excellence in Renewable Energy, King Fahd University of Petroleum and Minerals, Dhahran SA-31261, Saudi Arabia
    Centre of Research Excellence in Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran SA-31261, Saudi Arabia)

Abstract

This study investigates the performance of isotropic and anisotropic diffuse models to estimate the total solar energy received on flat-plate collectors fixed on dual-axis trackers. These estimations are applied at twelve sites selected in both hemispheres with different terrain and environmental conditions. The diffuse (or transposition) models used in this study are the isotropic Liu-Jordan (L&J), Koronakis (KOR), Badescu (BAD), and Tian (TIA), and the anisotropic Hay (HAY), Reindl (REI), Klucher (KLU), Skartveit and Olseth (S&O), and Steven and Unsworth (S&U). These models were chosen because of their simplicity in the calculations and minimum number of input values. The results show that a single transposition model is not efficient for all sites; therefore, the most appropriate models are selected for each site under all, clear, intermediate, and overcast conditions in skies. On the other hand, an increase in the ground albedo in the vicinity of the solar installation can increase the annual inclined solar availability on a two-axis tracker by at least 9% on average. Further, a linear dependence of the annual inclined solar energy on the variation of the ground albedo was found. Also, a linear relationship exists between the annual diffuse-fraction and cloud-modification factor values at the 12 sites.

Suggested Citation

  • Harry D. Kambezidis & Kosmas A. Kavadias & Ashraf M. Farahat, 2024. "Solar Energy Received on Flat-Plate Collectors Fixed on 2-Axis Trackers: Effect of Ground Albedo and Clouds," Energies, MDPI, vol. 17(15), pages 1-27, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3721-:d:1444765
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/15/3721/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/15/3721/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bahrami, Arian & Okoye, Chiemeka Onyeka, 2018. "The performance and ranking pattern of PV systems incorporated with solar trackers in the northern hemisphere," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 138-151.
    2. El-Sebaii, A.A. & Al-Hazmi, F.S. & Al-Ghamdi, A.A. & Yaghmour, S.J., 2010. "Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia," Applied Energy, Elsevier, vol. 87(2), pages 568-576, February.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Furlan, Claudia & de Oliveira, Amauri Pereira & Soares, Jacyra & Codato, Georgia & Escobedo, João Francisco, 2012. "The role of clouds in improving the regression model for hourly values of diffuse solar radiation," Applied Energy, Elsevier, vol. 92(C), pages 240-254.
    3. Dos Santos, Cícero Manoel & De Souza, José Leonaldo & Ferreira Junior, Ricardo Araujo & Tiba, Chigueru & de Melo, Rinaldo Oliveira & Lyra, Gustavo Bastos & Teodoro, Iêdo & Lyra, Guilherme Bastos & Lem, 2014. "On modeling global solar irradiation using air temperature for Alagoas State, Northeastern Brazil," Energy, Elsevier, vol. 71(C), pages 388-398.
    4. Lee, Kwanho & Yoo, Hochun & Levermore, Geoff J., 2013. "Quality control and estimation hourly solar irradiation on inclined surfaces in South Korea," Renewable Energy, Elsevier, vol. 57(C), pages 190-199.
    5. Sharma, Vikrant & Chandel, S.S., 2013. "Performance and degradation analysis for long term reliability of solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 753-767.
    6. Okoye, Chiemeka Onyeka & Bahrami, Arian & Atikol, Ugur, 2018. "Evaluating the solar resource potential on different tracking surfaces in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1569-1581.
    7. Mateos, D. & Antón, M. & Valenzuela, A. & Cazorla, A. & Olmo, F.J. & Alados-Arboledas, L., 2014. "Efficiency of clouds on shortwave radiation using experimental data," Applied Energy, Elsevier, vol. 113(C), pages 1216-1219.
    8. 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).
    9. Khosravi, Mohsen & Fazelpour, Farivar & Rosen, Marc A., 2019. "Improved application of a solar chimney concept in a two-story building: An enhanced geometry through a numerical approach," Renewable Energy, Elsevier, vol. 143(C), pages 569-585.
    10. Iskander Tlili, 2015. "Renewable energy in Saudi Arabia: current status and future potentials," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(4), pages 859-886, August.
    11. Wang, Hong & Sun, Fubao & Wang, Tingting & Liu, Wenbin, 2018. "Estimation of daily and monthly diffuse radiation from measurements of global solar radiation a case study across China," Renewable Energy, Elsevier, vol. 126(C), pages 226-241.
    12. Mohamed A. Ali & Ashraf Elsayed & Islam Elkabani & Mohammad Akrami & M. Elsayed Youssef & Gasser E. Hassan, 2023. "Optimizing Artificial Neural Networks for the Accurate Prediction of Global Solar Radiation: A Performance Comparison with Conventional Methods," Energies, MDPI, vol. 16(17), pages 1-30, August.
    13. Harry D. Kambezidis & Konstantinos Mimidis & Kosmas A. Kavadias, 2023. "The Solar Energy Potential of Greece for Flat-Plate Solar Panels Mounted on Double-Axis Systems," Energies, MDPI, vol. 16(13), pages 1-28, June.
    14. Bachour, D. & Perez-Astudillo, D., 2014. "Ground measurements of Global Horizontal Irradiation in Doha, Qatar," Renewable Energy, Elsevier, vol. 71(C), pages 32-36.
    15. Li, Huashan & Ma, Weibin & Wang, Xianlong & Lian, Yongwang, 2011. "Estimating monthly average daily diffuse solar radiation with multiple predictors: A case study," Renewable Energy, Elsevier, vol. 36(7), pages 1944-1948.
    16. Vaziri Rad, Mohammad Amin & Toopshekan, Ashkan & Rahdan, Parisa & Kasaeian, Alibakhsh & Mahian, Omid, 2020. "A comprehensive study of techno-economic and environmental features of different solar tracking systems for residential photovoltaic installations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    17. Kaddoura, Tarek O. & Ramli, Makbul A.M. & Al-Turki, Yusuf A., 2016. "On the estimation of the optimum tilt angle of PV panel in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 626-634.
    18. Li, Huashan & Ma, Weibin & Lian, Yongwang & Wang, Xianlong & Zhao, Liang, 2011. "Global solar radiation estimation with sunshine duration in Tibet, China," Renewable Energy, Elsevier, vol. 36(11), pages 3141-3145.
    19. Sabzpooshani, Majid & Mohammadi, Kasra, 2014. "Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran," Energy, Elsevier, vol. 69(C), pages 571-577.
    20. Gulin, Marko & Vašak, Mario & Perić, Nedjeljko, 2013. "Dynamical optimal positioning of a photovoltaic panel in all weather conditions," Applied Energy, Elsevier, vol. 108(C), pages 429-438.

    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:gam:jeners:v:17:y:2024:i:15:p:3721-:d:1444765. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.