IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v28y1980i6p1360-1374.html
   My bibliography  Save this article

A Natural Gas Flow Model under Uncertainty in Demand

Author

Listed:
  • Reuven R. Levary

    (Saint Louis University, Saint Louis, Missouri)

  • Burton V. Dean

    (Case Western Reserve University, Cleveland, Ohio)

Abstract

Storage and purchasing policies that minimize expected shortages of natural gas in the service area supplied by a single natural gas utility are developed. The problem is formulated and solved using a multiperiod linear programming model. The model takes into consideration the variability of weather conditions and its effects on the demand for natural gas. Forecasts of future weather conditions are updated several times during the model planning period. Also, the optimal flows of natural gas are determined at the time that the forecasts are updated. The optimal storage quantities at the beginning of each time period and the consequences of contracting for additional storage facilities on the natural gas shortage are derived by using the model. The natural gas planning strategy is to plan natural gas flows based on forecasted future demand. The optimal flows should be recalculated for future time periods at several computational stages of the model, honoring the orders placed during previous time periods.

Suggested Citation

  • Reuven R. Levary & Burton V. Dean, 1980. "A Natural Gas Flow Model under Uncertainty in Demand," Operations Research, INFORMS, vol. 28(6), pages 1360-1374, December.
  • Handle: RePEc:inm:oropre:v:28:y:1980:i:6:p:1360-1374
    DOI: 10.1287/opre.28.6.1360
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.28.6.1360
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.28.6.1360?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
    ---><---

    Citations

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


    Cited by:

    1. Psarras, John, 2016. "Multicriteria decision support to evaluate potential long-term natural gas supply alternatives: The case of GreeceAuthor-Name: Androulaki, Stella," European Journal of Operational Research, Elsevier, vol. 253(3), pages 791-810.
    2. Haugen, Kjetil K., 1996. "A Stochastic Dynamic Programming model for scheduling of offshore petroleum fields with resource uncertainty," European Journal of Operational Research, Elsevier, vol. 88(1), pages 88-100, January.
    3. Nicola Secomandi, 2010. "Optimal Commodity Trading with a Capacitated Storage Asset," Management Science, INFORMS, vol. 56(3), pages 449-467, March.
    4. Ozelkan, Ertunga C. & D'Ambrosio, Alfred & Teng, S. Gary, 2008. "Optimizing liquefied natural gas terminal design for effective supply-chain operations," International Journal of Production Economics, Elsevier, vol. 111(2), pages 529-542, February.
    5. Hamedi, Maryam & Zanjirani Farahani, Reza & Husseini, Mohammad Moattar & Esmaeilian, Gholam Reza, 2009. "A distribution planning model for natural gas supply chain: A case study," Energy Policy, Elsevier, vol. 37(3), pages 799-812, 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:inm:oropre:v:28:y:1980:i:6:p:1360-1374. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.