IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v24y1999i10p883-893.html
   My bibliography  Save this article

Correlations to estimate monthly mean daily solar global irradiation: application to Romania

Author

Listed:
  • Badescu, Viorel

Abstract

Seven existing relationships between monthly mean clearness index and the number of bright sunshine hours are tested under the climate and latitude of Romania. New (best-fit) correlations are derived. They use bright sunshine hour number or fractional total cloud amount as input. The dependence of the new sunshine-based regressions on month is stronger than their dependence on latitude. They generally underestimate the clearness index in the first half-year and overestimate it in the rest of the year. The accuracy of the new regression seems not to depend significantly on the year.

Suggested Citation

  • Badescu, Viorel, 1999. "Correlations to estimate monthly mean daily solar global irradiation: application to Romania," Energy, Elsevier, vol. 24(10), pages 883-893.
    • Handle: RePEc:eee:energy:v:24:y:1999:i:10:p:883-893
    DOI: 10.1016/S0360-5442(99)00027-4
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544299000274
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0360-5442(99)00027-4?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.

    Citations

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


    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Karaveli, Abdullah Bugrahan & Soytas, Ugur & Akinoglu, Bulent G., 2015. "Comparison of large scale solar PV (photovoltaic) and nuclear power plant investments in an emerging market," Energy, Elsevier, vol. 84(C), pages 656-665.
    3. Besharat, Fariba & Dehghan, Ali A. & Faghih, Ahmad R., 2013. "Empirical models for estimating global solar radiation: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 798-821.
    4. Ghimire, Sujan & Deo, Ravinesh C. & Casillas-Pérez, David & Salcedo-Sanz, Sancho, 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction," Renewable Energy, Elsevier, vol. 190(C), pages 408-424.
    5. Kaba, Kazım & Sarıgül, Mehmet & Avcı, Mutlu & Kandırmaz, H. Mustafa, 2018. "Estimation of daily global solar radiation using deep learning model," Energy, Elsevier, vol. 162(C), pages 126-135.
    6. Ozden, Talat & Akinoglu, Bulent G. & Turan, Rasit, 2017. "Long term outdoor performances of three different on-grid PV arrays in central Anatolia – An extended analysis," Renewable Energy, Elsevier, vol. 101(C), pages 182-195.
    7. Marek Brabec & Viorel Badescu & Marius Paulescu, 2014. "Cloud shade by dynamic logistic modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1174-1188, June.
    8. Paulescu, Marius & Badescu, Viorel & Brabec, Marek, 2013. "Tools for PV (photovoltaic) plant operators: Nowcasting of passing clouds," Energy, Elsevier, vol. 54(C), pages 104-112.
    9. Zang, Haixiang & Xu, Qingshan & Bian, Haihong, 2012. "Generation of typical solar radiation data for different climates of China," Energy, Elsevier, vol. 38(1), pages 236-248.
    10. Bulut, Hüsamettin & Büyükalaca, Orhan, 2007. "Simple model for the generation of daily global solar-radiation data in Turkey," Applied Energy, Elsevier, vol. 84(5), pages 477-491, May.
    11. Prieto, Jesús-Ignacio & García, David, 2022. "Global solar radiation models: A critical review from the point of view of homogeneity and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    12. Kostić, Rastko & Mikulović, Jovan, 2017. "The empirical models for estimating solar insolation in Serbia by using meteorological data on cloudiness," Renewable Energy, Elsevier, vol. 114(PB), pages 1281-1293.
    13. Chang, Kai & Zhang, Qingyuan, 2019. "Improvement of the hourly global solar model and solar radiation for air-conditioning design in China," Renewable Energy, Elsevier, vol. 138(C), pages 1232-1238.
    14. 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.
    15. Kaplani, E. & Kaplanis, S. & Mondal, S., 2018. "A spatiotemporal universal model for the prediction of the global solar radiation based on Fourier series and the site altitude," Renewable Energy, Elsevier, vol. 126(C), pages 933-942.
    16. Anton Vernet & Alexandre Fabregat, 2023. "Evaluation of Empirical Daily Solar Radiation Models for the Northeast Coast of the Iberian Peninsula," Energies, MDPI, vol. 16(6), pages 1-18, March.

    More about this item

    Statistics

    Access and download statistics

    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:energy:v:24:y:1999:i:10:p:883-893. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/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.