• DocumentCode
    2078666
  • Title

    Greenhouse gas emissions and the competitive supply costs of electricity to class customers in a widespread sparsely populated system

  • Author

    Tamaschke, R. ; Docwra, G. ; Stillman, R.

  • Author_Institution
    Queensland Univ., Australia
  • Volume
    3
  • fYear
    2000
  • fDate
    23-27 Jan 2000
  • Firstpage
    1772
  • Abstract
    This paper presents a model to estimate the short run and long run costs of supplying electricity on the half hour to domestic, industrial and commercial class customers in seven distribution regions in a widespread interconnected system with a low population density, using economic efficiency criteria. The paper considers `private´ (production) costs as well as `social´ costs (including negative externalities such as greenhouse gas emissions) of electricity supply. As demonstrated in the paper, the model can be used for Monte Carlo simulations into the impact of various greenhouse scenarios and market conditions on electricity prices. The electricity supply industry in Queensland, Australia is used as a context for the modelling
  • Keywords
    Monte Carlo methods; air pollution; electricity supply industry; power system economics; power system interconnection; Australia; Monte Carlo simulations; Queensland; commercial class customers; competitive electricity supply costs; distribution regions; domestic class customers; economic efficiency criteria; electricity prices; greenhouse gas emissions; industrial class customers; long run costs; low population density; market conditions; private costs; production costs; short run costs; social costs; sparsely populated system; widespread interconnected system; Australia; Context modeling; Costs; Electricity supply industry; Environmental economics; Gas industry; Global warming; Industrial economics; Industrial relations; Interconnected systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2000. IEEE
  • Print_ISBN
    0-7803-5935-6
  • Type

    conf

  • DOI
    10.1109/PESW.2000.847620
  • Filename
    847620