IDEAS home Printed from https://ideas.repec.org/a/ids/ijetpo/v5y2007i4p509-531.html
   My bibliography  Save this article

An optimal energy allocation model using fuzzy linear programming for energy planning in India for the year 2020

Author

Listed:
  • S. Jebaraj
  • S. Iniyan

Abstract

Development of an energy allocation model will help in the proper allocation of the energy sources in meeting the future energy demand in India. In this paper, an attempt has been made to develop a fuzzy-based linear programming optimal energy model that minimises the cost and determines the optimum allocation of different energy sources for the centralised and decentralised power generation in India. The potential, energy demand, efficiency, emission and carbon tax are used as constraints in the model. The model allocates the energy distribution pattern for the year 2020 in India. The results indicate that the energy distribution pattern would be 15 800 GWh (4%) from the coal-based plants, 85 400 GWh (20%) from the nuclear plants, 191 100 GWh (44%) from the hydro plants, 22 400 GWh (5%) from the wind turbine generators, 45 520 GWh (11%) from the biomass gasifier plants, 14 112 GWh (3%) from the biogas plants, 8400 GWh (2%) from the solid waste, 33 600 GWh (8%) from the cogeneration plants and 11 970 GWh (3%) from the mini-hydel plants, for the year 2020. A sensitivity analysis has been done to validate the OEAM model. This study will help in the formation of strategies for the effective utilisation of energy sources in India.

Suggested Citation

  • S. Jebaraj & S. Iniyan, 2007. "An optimal energy allocation model using fuzzy linear programming for energy planning in India for the year 2020," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 5(4), pages 509-531.
  • Handle: RePEc:ids:ijetpo:v:5:y:2007:i:4:p:509-531
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=14890
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Jeroen Beliƫn & Jan Colpaert & Liesje De Boeck & Johan Eyckmans & Wouter Leirens, 2013. "Teaching Integer Programming Starting From an Energy Supply Game," INFORMS Transactions on Education, INFORMS, vol. 13(3), pages 129-137, May.
    2. Nikolay Afanasiev & Tatyana Salashenko & Oleksandr Dorokhov, 2012. "Strategy Map Of Energy Efficiency In Industry Of The Region Based On A System-Dynamic Model," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 8(1), pages 47-61.

    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:ids:ijetpo:v:5:y:2007:i:4:p:509-531. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=12 .

    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.