• DocumentCode
    2804458
  • Title

    Electric storage technologies for the future power system — An economic assessment

  • Author

    Kloess, M.

  • Author_Institution
    Vienna University of Technology
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The paper analyses different electric storage (ES) technologies for power system applications from an economic perspective. After giving a brief overview on different technology options, a model-based assessment is performed. The model simulates optimal market-based storage operation in order to maximize revenues from energy arbitrage. The results indicate that pump hydro storages (PHS) are the best option from an economic perspective. However, the results show that revenues from storage operation have decreased in the last years. Currently, not even PHS would generate sufficient revenue to be a profitable investment. That points out, that even though demand for storage capacity is expected to increase with higher shares of renewable electricity (RES-E) in the future, there are no economic incentives to extend storage capacities at the current framework conditions.
  • Keywords
    energy storage; hydroelectric power stations; power generation economics; power markets; power system simulation; renewable energy sources; ES technology; PHS; RES-E; economic incentive; electric storage technology; energy arbitrage; model-based assessment; optimal market-based storage operation simulation; power system economic assessment; profitable investment; pump hydrostorage; renewable electricity; revenue maximization; Batteries; Economics; Electricity; Hydrogen; Investments; Power systems; control reserve; economic assessment; electricity storage; energy arbitrage; technologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2012 9th International Conference on the
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-0834-2
  • Electronic_ISBN
    978-1-4673-0832-8
  • Type

    conf

  • DOI
    10.1109/EEM.2012.6254729
  • Filename
    6254729