IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v12y1987i2p123-130.html
   My bibliography  Save this article

CO2 Transport: A new application of the assignment problem

Author

Listed:
  • Turk, Gregory A.
  • Cobb, Thomas B.
  • Jankowski, Donald J.
  • Wolsky, Alan M.
  • Sparrow, Frederick T.

Abstract

The possibility exists that Ohio River Valley coal-burning power plant stack gases rich in CO2 can be profitably disposed of by transportation via existing reversed flow natural gas trunklines to the Gulf Coast, where they can be sold as an injectant for enhanced oil recovery. Part of the uncertainty arises from the difficulty in identifying, from among the large number of power plants and oil fields which could supply and demand the CO2, which set would provide maximum profit for the pipeline companies, given the revenues expected from each, the feeder and gathering line construction costs, and the costs of shipment over existing trunklines. The profit-maximizing problem is viewed as a variant of the familiar knapsack problem, where the pipelines are viewed as containers to be filled by portions of differing volume and value per unit volume, transported, and emptied by dividing up their contents into portions of differing volume and value per unit volume. The problem is formulated, and a set of solution techniques examined. A real problem is solved, using a greedy algorithm.

Suggested Citation

  • Turk, Gregory A. & Cobb, Thomas B. & Jankowski, Donald J. & Wolsky, Alan M. & Sparrow, Frederick T., 1987. "CO2 Transport: A new application of the assignment problem," Energy, Elsevier, vol. 12(2), pages 123-130.
    • Handle: RePEc:eee:energy:v:12:y:1987:i:2:p:123-130
    DOI: 10.1016/0360-5442(87)90116-2
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0360544287901162
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/0360-5442(87)90116-2?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. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    2. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.

    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:12:y:1987:i:2:p:123-130. 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.