Modelling systemic risks to inform a repowering decision
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....
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
shers
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/19048 |
| _version_ | 1848749922245935104 |
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| author | Walls, L. Quigley, J. Houghton, T. Howick, S. Ackermann, Fran |
| author_facet | Walls, L. Quigley, J. Houghton, T. Howick, S. Ackermann, Fran |
| author_sort | Walls, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:28:38Z |
| format | Conference Paper |
| id | curtin-20.500.11937-19048 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:28:38Z |
| publishDate | 2014 |
| publisher | shers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-190482017-01-30T12:11:37Z Modelling systemic risks to inform a repowering decision Walls, L. Quigley, J. Houghton, T. Howick, S. Ackermann, Fran 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. 2014 Conference Paper http://hdl.handle.net/20.500.11937/19048 shers restricted |
| spellingShingle | Walls, L. Quigley, J. Houghton, T. Howick, S. Ackermann, Fran Modelling systemic risks to inform a repowering decision |
| title | Modelling systemic risks to inform a repowering decision |
| title_full | Modelling systemic risks to inform a repowering decision |
| title_fullStr | Modelling systemic risks to inform a repowering decision |
| title_full_unstemmed | Modelling systemic risks to inform a repowering decision |
| title_short | Modelling systemic risks to inform a repowering decision |
| title_sort | modelling systemic risks to inform a repowering decision |
| url | http://hdl.handle.net/20.500.11937/19048 |