Modelling systemic risks to inform a repowering decision
| dc.contributor.author | Walls, L. | |
| dc.contributor.author | Quigley, J. | |
| dc.contributor.author | Houghton, T. | |
| dc.contributor.author | Howick, S. | |
| dc.contributor.author | Ackermann, Fran | |
| dc.date.accessioned | 2017-01-30T12:11:37Z | |
| dc.date.available | 2017-01-30T12:11:37Z | |
| dc.date.created | 2015-10-29T04:08:25Z | |
| dc.date.issued | 2014 | |
| dc.identifier.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. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/19048 | |
| dc.description.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. | |
| dc.publisher | shers | |
| dc.title | Modelling systemic risks to inform a repowering decision | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 2219 | |
| dcterms.source.endPage | 2226 | |
| dcterms.source.title | Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013 | |
| dcterms.source.series | Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013 | |
| curtin.department | School of Management | |
| curtin.accessStatus | Fulltext not available |
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