Modelling systemic risks to inform a repowering decision

Walls, L.; Quigley, J.; Houghton, T.; Howick, S.; Ackermann, Fran

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Authors

Walls, L.

Quigley, J.

Houghton, T.

Howick, S.

Ackermann, Fran

Date

2014

Type

Conference Paper

Metadata

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Citation

Walls, L. and Quigley, J. and Houghton, T. and Howick, S. and Ackermann, F. 2014. Modelling systemic risks to inform a repowering decision, pp. 2219-2226: shers.

Source Title

Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013

School

School of Management

URI

http://hdl.handle.net/20.500.11937/19048

Collection

Curtin Research Publications

Abstract

Our motivation is to inform an industrial decision to replace a conventional power station in a context where there are risks and uncertainties associated with new energy technologies such as renewables and smart grids. We develop a modelling approach to support this strategic engineering decision. Our goal is to support managers who need to define solutions for engineering systems within a compressed time scale, when there are multiple stakeholders and inter-related uncertainties. The general modelling process is described and analysis for the industrial case is presented. © 2014 Taylor & Francis Group, London.