IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v38y1990i4p580-597.html
   My bibliography  Save this article

Estimating the Impact of Efficiency Standards on the Uncertainty of the Northwest Electric System

Author

Listed:
  • Andrew Ford

    (University of Southern California, Los Angeles, California)

Abstract

The uncertainty of the Northwest electric system was the subject of a recent study for the Bonneville Power Administration. System uncertainty was described along two dimensions over a twenty year planning period. One dimension was uncertainty in the demand for electricity; the second dimension was uncertainty in the price of electricity. The study focused on the impact of efficiency standards that would reduce the electricity used in new buildings and appliances. Many planners expect that the standards would reduce the long-term uncertainty in electricity demand. Some planners have come to realize that the standards could also reduce the long-term uncertainty in the price of electricity. This paper explains the case study approach to estimating the magnitude of these reductions in uncertainty. I describe the analytical approach and the key findings of the study, and conclude with a discussion of the study's impact on decision making in the region.

Suggested Citation

  • Andrew Ford, 1990. "Estimating the Impact of Efficiency Standards on the Uncertainty of the Northwest Electric System," Operations Research, INFORMS, vol. 38(4), pages 580-597, August.
  • Handle: RePEc:inm:oropre:v:38:y:1990:i:4:p:580-597
    DOI: 10.1287/opre.38.4.580
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.38.4.580
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.38.4.580?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. Stefan N. Groesser, 2012. "Dynamics of Journal Impact Factors," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(6), pages 624-644, November.
    2. Gary, Shayne & Larsen, Erik Reimer, 2000. "Improving firm performance in out-of-equilibrium, deregulated markets using feedback simulation models," Energy Policy, Elsevier, vol. 28(12), pages 845-855, October.
    3. Saysel, Ali Kerem & Hekimoğlu, Mustafa, 2013. "Exploring the options for carbon dioxide mitigation in Turkish electric power industry: System dynamics approach," Energy Policy, Elsevier, vol. 60(C), pages 675-686.
    4. Neubauer, Franklin & Westman, Erik & Ford, Andrew, 1997. "Applying planning models to study new competition : Analysis for the Bonneville Power Administration," Energy Policy, Elsevier, vol. 25(3), pages 273-280, February.
    5. Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
    6. Ford, Andrew, 1999. "Cycles in competitive electricity markets: a simulation study of the western United States," Energy Policy, Elsevier, vol. 27(11), pages 637-658, October.
    7. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.
    8. Isabel Banos-Gonzalez & Julia Martínez-Fernández & Miguel-Ángel Esteve-Selma & Patricia Esteve-Guirao, 2018. "Sensitivity Analysis in Socio-Ecological Models as a Tool in Environmental Policy for Sustainability," Sustainability, MDPI, vol. 10(8), pages 1-30, August.
    9. Matteo Pedercini & Steve Arquitt & Derek Chan, 2020. "Integrated simulation for the 2030 agenda†," System Dynamics Review, System Dynamics Society, vol. 36(3), pages 333-357, July.
    10. Erik Pruyt & Tushith Islam, 2015. "On generating and exploring the behavior space of complex models," System Dynamics Review, System Dynamics Society, vol. 31(4), pages 220-249, October.
    11. Navid Ghaffarzadegan & Richard C. Larson, 2018. "SD meets OR: a new synergy to address policy problems," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 327-353, January.
    12. Bob Walrave, 2016. "Determining intervention thresholds that change output behavior patterns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 261-278, July.
    13. Koul, Saroj & Falebita, Oluwabunmi A. & Akinbami, John-Felix K. & Akarakiri, Joshua B., 2016. "System dynamics, uncertainty and hydrocarbon resources modelling: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 199-205.

    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:38:y:1990:i:4:p:580-597. 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.