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Technology Assessment: Energy Storage Technologies for Wind Power Generation

In: Technology Development

Author

Listed:
  • Yulianto Suharto

    (Portland State University)

  • Tugrul U. Daim

    (Portland State University)

Abstract

The problems in generation imbalance for wind power require multi-criteria analysis for the decision makers. In addition to the required multi-criteria analysis, there is also a problem of uncertainty inherent in future changes as a result of interdependence among these criteria. To counter this two problems, this paper describes a systematic approach of Bayesian causal maps and systematic probability generation method. Bayesian causal maps, which is built from causal maps, is used to develop a proposed framework on scenario-based assessment of energy storage technologies for wind power generation. Causal maps provides a rich representation of ideas, through the modeling of complex structures, representing the chain of arguments, as networks.

Suggested Citation

  • Yulianto Suharto & Tugrul U. Daim, 2014. "Technology Assessment: Energy Storage Technologies for Wind Power Generation," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Ramin Neshati & Russell Watt & James Eastham (ed.), Technology Development, edition 127, chapter 0, pages 91-113, Springer.
    • Handle: RePEc:spr:innchp:978-3-319-05651-7_5
    DOI: 10.1007/978-3-319-05651-7_5
    as

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