IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i3p2644-2661d46388.html
   My bibliography  Save this article

Estimating Solar Irradiation Absorbed by Photovoltaic Panels with Low Concentration Located in Craiova, Romania

Author

Listed:
  • Ionel L. Alboteanu

    (Department of Electromechanics, Environment and Industrial Informatics, Faculty of Electrical Engineering, University of Craiova, Craiova 200440, Romania)

  • Cornelia A. Bulucea

    (Department of Electromechanics, Environment and Industrial Informatics, Faculty of Electrical Engineering, University of Craiova, Craiova 200440, Romania
    These authors contributed equally to this work.)

  • Sonia Degeratu

    (Department of Electromechanics, Environment and Industrial Informatics, Faculty of Electrical Engineering, University of Craiova, Craiova 200440, Romania
    These authors contributed equally to this work.)

Abstract

Solar irradiation is one of the important parameters that should be taken into consideration for the design and utilization of a photovoltaic system. Usually, the input parameters of a photovoltaic system are solar irradiation, the ambient environment temperature and the wind speed, and as a consequence most photovoltaic systems are equipped with sensors for measuring these parameters. This paper presents several mathematical models for solar irradiation assessment. The starting point is represented by the mathematical model of extraterrestrial irradiation, and resulting finally in the model for solar irradiation, absorbed by a low concentration photovoltaic panel. These estimating models of solar irradiation have been particularized for the Craiova, Romania, and have been verified through numerical simulation. Regarding terrestrial solar irradiation, four mathematical models have been adopted, namely Adnot, Haurwitz, Kasten and Empirical (EIM). Of these, the most appropriate for the Craiova location were the models Adnot and Empirical. Consequently, for the calculation of the solar irradiation absorbed by the photovoltaic (PV) panels with low concentration, these models have been taken into consideration. In this study, a comparative analysis was also carried out with respect to the solar irradiation absorbed by the PV panels without concentration and those with collectedness of the solar radiation. This analysis was based on the results of numerical simulation and experimental tests.

Suggested Citation

  • Ionel L. Alboteanu & Cornelia A. Bulucea & Sonia Degeratu, 2015. "Estimating Solar Irradiation Absorbed by Photovoltaic Panels with Low Concentration Located in Craiova, Romania," Sustainability, MDPI, vol. 7(3), pages 1-18, March.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:3:p:2644-2661:d:46388
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/3/2644/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/3/2644/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Haixiang Zang & Mian Guo & Zhinong Wei & Guoqiang Sun, 2016. "Determination of the Optimal Tilt Angle of Solar Collectors for Different Climates of China," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    2. Osama A. Marzouk, 2021. "Lookup Tables for Power Generation Performance of Photovoltaic Systems Covering 40 Geographic Locations (Wilayats) in the Sultanate of Oman, with and without Solar Tracking, and General Perspectives a," Sustainability, MDPI, vol. 13(23), pages 1-23, November.
    3. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    4. Edzisani Ellen Netshiozwi, 2019. "Causes of Failure of the South African Solar Water Heating Programme and the Forgone Social Benefits," Review of Social Sciences, LAR Center Press, vol. 4(1), pages 1-15, January.
    5. Stephan Schlüter & Fabian Menz & Milena Kojić & Petar Mitić & Aida Hanić, 2022. "A Novel Approach to Generate Hourly Photovoltaic Power Scenarios," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    6. Hussein A. Kazem, 2023. "Prediction of grid-connected photovoltaic performance using artificial neural networks and experimental dataset considering environmental variation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2857-2884, March.

    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:jsusta:v:7:y:2015:i:3:p:2644-2661:d:46388. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.