Technology Assessment: Energy Storage Technologies for Wind Power Generation

Yulianto Suharto () and Tugrul U. Daim ()
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Yulianto Suharto: Portland State University
Tugrul U. Daim: Portland State University

Chapter Chapter 5 in Technology Development, 2014, pp 91-113 from Springer

Abstract: 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.

Keywords: Bayesian Network; Parent Node; Relative Priority; Probabilistic Inference; Wind Power Generation (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:innchp:978-3-319-05651-7_5

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DOI: 10.1007/978-3-319-05651-7_5

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