IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/31558.html
   My bibliography  Save this paper

Optimization of hydroelectric power generation, case study of Roseires Dam in Sudan

Author

Listed:
  • Mohamed, Issam A.W.

Abstract

Water reservoirs are large pools of water created stream or river catchment's areas and torrential rains and for storing water for use in many ways, and perhaps electric power generation is one of the most important uses of these reservoirs and for agriculture. That is extremely beneficial considering a rare and limited economic resources. Applied stochastic processes model has been applied in the work of Roseires dam, in order to develop a system to generate the highest possible power in the resources available. The current paper aims to apply another model, which is a dynamic programming model to verify the possibility of developing the same system and thus generate the highest possible electricity from the reservoir. Data collected from the Ministry of Irrigation and the National Electricity Cooperation and international information network during the years 2006-2007.

Suggested Citation

  • Mohamed, Issam A.W., 2011. "Optimization of hydroelectric power generation, case study of Roseires Dam in Sudan," MPRA Paper 31558, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31558
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/31558/1/MPRA_paper_31558.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ale Ebrahim, Nader & Ahmed, Shamsuddin & Taha, Zahari, 2010. "SMEs; Virtual research and development (R&D) teams and new product development: A literature review," MPRA Paper 26989, University Library of Munich, Germany, revised 10 Jun 2010.
    2. Nader Ale Ebrahim & Shamsuddin Ahmed & Zahari Taha, 2009. "Virtual Teams for New Product Development: An Innovative Experience for R&D Engineers," Post-Print hal-00593361, HAL.
    3. Ale Ebrahim, Nader & Ahmed, Shamsuddin & Taha, Zahari, 2009. "Innovation and R&D Activities in Virtual Team," MPRA Paper 27033, University Library of Munich, Germany, revised 17 Jul 0209.
    4. Gassmann, Oliver & Keupp, Marcus Matthias, 2007. "The competitive advantage of early and rapidly internationalising SMEs in the biotechnology industry: A knowledge-based view," Journal of World Business, Elsevier, vol. 42(3), pages 350-366, September.
    5. Mezgar, Istvan & Kovacs, Gyorgy L. & Paganelli, Paolo, 2000. "Co-operative production planning for small- and medium-sized enterprises," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 37-48, March.
    6. Nader Ale Ebrahim & Shamsuddin Ahmed & Zahari Taha, 2009. "Virtual R & D teams in small and medium enterprises: A literature review," Post-Print hal-00593358, HAL.
    7. Nader Ale Ebrahim & Shamsuddin Ahmed & Zahari Taha, 2010. "Virtual R&D Teams and SMEs Growth: A Comparative Study Between Iranian and Malaysian SMEs," Post-Print hal-00593364, HAL.
    8. Timo Pihkala & Elina Varamaki & Jukka Vesalainen, 1999. "Virtual organization and the SMEs: a review and model development," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 11(4), pages 335-349, October.
    9. Francesco Perrini & Angeloantonio Russo & Antonio Tencati, 2007. "CSR Strategies of SMEs and Large Firms. Evidence from Italy," Journal of Business Ethics, Springer, vol. 74(3), pages 285-300, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Englsih;

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C0 - Mathematical and Quantitative Methods - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • A10 - General Economics and Teaching - - General Economics - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:31558. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.