IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v121y2003i1p151-18010.1023-a1023359303704.html
   My bibliography  Save this article

High-Resolution Modeling of Energy-Services Supply Systems Using deeco: Overview and Application to Policy Development

Author

Listed:
  • Thomas Bruckner
  • Robbie Morrison
  • Chris Handley
  • Murray Patterson

Abstract

Contemporary energy policy problems typically involve issues of (1) technology selection, placement, and scheduling, (2) energy-services demand modification by location and time-of-use, and/or (3) new sourcing options including emerging renewables. The high-resolution energy systems modeling environment deeco (dynamic energy, emissions, and cost optimization) naturally captures interactions between these components. deeco can assist with the search for policy sets which reduce CO 2 and/or displace depletable resource use and which take advantage of cost-effective system integration synergies. The network management objective may be treated as an exogenous variable and process performance can depend on the thermodynamic intensive state of the system. Numerical studies indicate that multiple policy interventions cannot be assumed to be independent and that staging can be significant. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Thomas Bruckner & Robbie Morrison & Chris Handley & Murray Patterson, 2003. "High-Resolution Modeling of Energy-Services Supply Systems Using deeco: Overview and Application to Policy Development," Annals of Operations Research, Springer, vol. 121(1), pages 151-180, July.
    • Handle: RePEc:spr:annopr:v:121:y:2003:i:1:p:151-180:10.1023/a:1023359303704
    DOI: 10.1023/A:1023359303704
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1023359303704
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1023359303704?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. Scheller, Fabian & Burgenmeister, Balthasar & Kondziella, Hendrik & Kühne, Stefan & Reichelt, David G. & Bruckner, Thomas, 2018. "Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach," Applied Energy, Elsevier, vol. 228(C), pages 2009-2023.
    2. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    3. Keirstead, James & Calderon, Carlos, 2012. "Capturing spatial effects, technology interactions, and uncertainty in urban energy and carbon models: Retrofitting newcastle as a case-study," Energy Policy, Elsevier, vol. 46(C), pages 253-267.
    4. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    5. Keirstead, James & Samsatli, Nouri & Shah, Nilay & Weber, Céline, 2012. "The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems," Energy, Elsevier, vol. 41(1), pages 93-103.
    6. Henning, Dag & Amiri, Shahnaz & Holmgren, Kristina, 2006. "Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1224-1247, December.

    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:spr:annopr:v:121:y:2003:i:1:p:151-180:10.1023/a:1023359303704. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.