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. Psiloglou, B.E. & Kambezidis, H.D. & Kaskaoutis, D.G. & Karagiannis, D. & Polo, J.M., 2020. "Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece," Renewable Energy, Elsevier, vol. 146(C), pages 1372-1391.
    3. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    4. Ashraf Farahat & Abdulhaleem H. Labban & Abdul-Wahab S. Mashat & Hosny M. Hasanean & Harry D. Kambezidis, 2024. "Status of Solar-Energy Adoption in GCC, Yemen, Iraq, and Jordan: Challenges and Carbon-Footprint Analysis," Clean Technol., MDPI, vol. 6(2), pages 1-32, June.
    5. Esraa M. Abd Elsadek & Hossam Kotb & Ayman Samy Abdel-Khalik & Yasser Aboelmagd & Aly. H. Abdelbaky Elbatran, 2024. "Experimental and Techno-Economic Analysis of Solar PV System for Sustainable Building and Greenhouse Gas Emission Mitigation in Harsh Climate: A Case Study of Aswan Educational Building," Sustainability, MDPI, vol. 16(13), pages 1-31, June.
    6. Rohani, Abbas & Taki, Morteza & Abdollahpour, Masoumeh, 2018. "A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)," Renewable Energy, Elsevier, vol. 115(C), pages 411-422.
    7. Khalil, Samy A. & Shaffie, A.M., 2016. "Evaluation of transposition models of solar irradiance over Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 105-119.
    8. Chen, Ji-Long & He, Lei & Chen, Qiao & Lv, Ming-Quan & Zhu, Hong-Lin & Wen, Zhao-Fei & Wu, Sheng-Jun, 2019. "Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product," Renewable Energy, Elsevier, vol. 132(C), pages 221-232.
    9. 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.
    10. 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.
    11. 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.
    12. Umish Srivastva & K Ravi Kumar & RK Malhotra & SC Kaushik, 2021. "Analytical assessment of a concentrated solar sub-critical thermal power plant using low temperature heat transfer fluid," Energy & Environment, , vol. 32(8), pages 1524-1542, December.
    13. Hassan, Gasser E. & Youssef, M. Elsayed & Mohamed, Zahraa E. & Ali, Mohamed A. & Hanafy, Ahmed A., 2016. "New Temperature-based Models for Predicting Global Solar Radiation," Applied Energy, Elsevier, vol. 179(C), pages 437-450.
    14. Yahya Z. Alharthi, 2023. "Performance Analysis Using Multi-Year Parameters for a Grid-Connected Wind Power System," Energies, MDPI, vol. 16(5), pages 1-20, February.
    15. 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.
    16. 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.
    17. Wang, Lunche & Lu, Yunbo & Zou, Ling & Feng, Lan & Wei, Jing & Qin, Wenmin & Niu, Zigeng, 2019. "Prediction of diffuse solar radiation based on multiple variables in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 151-216.
    18. Zhu, Yongqiang & Liu, Jiahao & Yang, Xiaohua, 2020. "Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection," Applied Energy, Elsevier, vol. 264(C).
    19. 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.
    20. 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).

    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.