IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v5y1980i10p1053-1072.html
   My bibliography  Save this article

Cost comparison of energy projects: Discounted cash flow and revenue requirement methods

Author

Listed:
  • Phung, Doan L.

Abstract

Both the discounted cash flow (DCF) and revenue requirement (RR) methods are frequently used in the cost analysis of energy projects. Each is especially well suited in special circumstances. For most forward looking ventures, the RR method appears to be more useful. This paper provides simple formulations for the two methods and some special cases of interest for costing practices. Both formulations are applicable to either free or regulated enterprises and also under constant-dollars or inflationary conditions. The interpretation of cost results depends on the selection of cash-flow streams and/or the intent of revenue requirements. Several numerical examples are given.

Suggested Citation

  • Phung, Doan L., 1980. "Cost comparison of energy projects: Discounted cash flow and revenue requirement methods," Energy, Elsevier, vol. 5(10), pages 1053-1072.
  • Handle: RePEc:eee:energy:v:5:y:1980:i:10:p:1053-1072
    DOI: 10.1016/0360-5442(80)90029-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0360544280900298
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0360-5442(80)90029-8?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. Hyongmook Cheong & Boyoung Kim & Ivan Ureta Vaquero, 2023. "A Data Valuation Model to Estimate the Investment Value of Platform Companies: Based on Discounted Cash Flow," JRFM, MDPI, vol. 16(6), pages 1-17, June.
    2. Panno, Domenico & Messineo, Antonio & Dispenza, Antonella, 2007. "Cogeneration plant in a pasta factory: Energy saving and environmental benefit," Energy, Elsevier, vol. 32(5), pages 746-754.
    3. Messineo, Antonio & Volpe, Roberto & Marvuglia, Antonino, 2012. "Ligno-cellulosic biomass exploitation for power generation: A case study in sicily," Energy, Elsevier, vol. 45(1), pages 613-625.
    4. La Rocca, Vincenzo, 2011. "Cold recovery during regasification of LNG part two: Applications in an Agro Food Industry and a Hypermarket," Energy, Elsevier, vol. 36(8), pages 4897-4908.

    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:5:y:1980:i:10:p:1053-1072. 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.