IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v65y2000i1-4p73-84.html
   My bibliography  Save this article

On the sizing parameters for stand-alone solar-energy systems

Author

Listed:
  • Agha, K. R.
  • Sbita, M. N.

Abstract

This paper presents the results of optimization analyses of four main sizing-parameters for stationary flat-surfaces under various load profiles in four different locations in Libya (Tripoli, Lat.=32.87°N; Benghazi, Lat.=32.10°N; Sebha, Lat.=27.02°N; Kufra, Lat.=24.22°N). The study is aimed at matching the load profile with the energy available from the solar collection sub-system. The parameters optimized in this study are tilt angle of the solar flat surface ([beta]), the design time (TD), the collector array capacity (CA), and the relative storage capacity (CS).

Suggested Citation

  • Agha, K. R. & Sbita, M. N., 2000. "On the sizing parameters for stand-alone solar-energy systems," Applied Energy, Elsevier, vol. 65(1-4), pages 73-84, April.
    • Handle: RePEc:eee:appene:v:65:y:2000:i:1-4:p:73-84
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(99)00093-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Yadav, Amit Kumar & Chandel, S.S., 2013. "Tilt angle optimization to maximize incident solar radiation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 503-513.
    2. Mellit, A. & Kalogirou, S.A. & Shaari, S. & Salhi, H. & Hadj Arab, A., 2008. "Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system," Renewable Energy, Elsevier, vol. 33(7), pages 1570-1590.
    3. Tripathy, M. & Sadhu, P.K. & Panda, S.K., 2016. "A critical review on building integrated photovoltaic products and their applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 451-465.
    4. Mellit, Adel & Kalogirou, Soteris A. & Drif, Mahmoud, 2010. "Application of neural networks and genetic algorithms for sizing of photovoltaic systems," Renewable Energy, Elsevier, vol. 35(12), pages 2881-2893.
    5. Kaplani, E. & Kaplanis, S., 2012. "A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations," Applied Energy, Elsevier, vol. 97(C), pages 970-981.
    6. Armstrong, S. & Hurley, W.G., 2010. "A new methodology to optimise solar energy extraction under cloudy conditions," Renewable Energy, Elsevier, vol. 35(4), pages 780-787.

    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:appene:v:65:y:2000:i:1-4:p:73-84. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.