Risk-Based Framework (RBF) for a UK Pan-European Supergrid.

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Title: Risk-Based Framework (RBF) for a UK Pan-European Supergrid.
Authors: Eskandari Torbaghan, Mehran1 M.Eskandaritorbaghan@bham.ac.uk, Burrow, Michael P.N.1, Hunt, Dexter V.L.1, Elcheikh, Marwa2
Source: Energy. Apr2017, Vol. 124, p124-132. 9p.
Subjects: Electric power distribution grids, Risk assessment, Interconnected power systems, Electric power production
Geographic Terms: Europe
Abstract: Interconnected electricity networks, or Supergrids, are considered as a possible solution to tackle challenges associated with near and far-future supply of electricity. These include, but are not limited to, reducing Green House Gas emissions and reliance on non-renewable fossil fuels. Supergrids can help to tackle these challenges, for example, by providing a reliable interconnection platform for wider application (and development) of renewable technologies. However, there is a range of risks and uncertainties associated with selecting appropriate interconnections. Heretofore these have been a hindrance to developing interconnections and therefore a Risk-Based Framework (RBF) which addresses these risks and uncertainties could encourage the wider uptake of Supergrids. This paper presents for the first time such a robust framework. The RBF comprises of four stages; (1) initial screening for selecting candidate countries, (2) risk identification, (3) risk semi-quantification and (4) risk quantification. In stage 4 the uncertainties associated with the identified risks are quantified using a cost-risk model under uncertainty based on a whole life appraisal approach. The usefulness of the approach, demonstrated using the UK as a case study, showed that greatest cost risks are associated with (a) regulatory framework, and (b) changes in energy policy. The most desirable interconnection option for the UK was identified as France. [ABSTRACT FROM AUTHOR]
Copyright of Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 122096159
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Risk-Based Framework (RBF) for a UK Pan-European Supergrid.
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>. Apr2017, Vol. 124, p124-132. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Interconnected+power+systems%22">Interconnected power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink>
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  Data: Interconnected electricity networks, or Supergrids, are considered as a possible solution to tackle challenges associated with near and far-future supply of electricity. These include, but are not limited to, reducing Green House Gas emissions and reliance on non-renewable fossil fuels. Supergrids can help to tackle these challenges, for example, by providing a reliable interconnection platform for wider application (and development) of renewable technologies. However, there is a range of risks and uncertainties associated with selecting appropriate interconnections. Heretofore these have been a hindrance to developing interconnections and therefore a Risk-Based Framework (RBF) which addresses these risks and uncertainties could encourage the wider uptake of Supergrids. This paper presents for the first time such a robust framework. The RBF comprises of four stages; (1) initial screening for selecting candidate countries, (2) risk identification, (3) risk semi-quantification and (4) risk quantification. In stage 4 the uncertainties associated with the identified risks are quantified using a cost-risk model under uncertainty based on a whole life appraisal approach. The usefulness of the approach, demonstrated using the UK as a case study, showed that greatest cost risks are associated with (a) regulatory framework, and (b) changes in energy policy. The most desirable interconnection option for the UK was identified as France. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.energy.2017.02.058
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 124
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      – SubjectFull: Electric power distribution grids
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Interconnected power systems
        Type: general
      – SubjectFull: Electric power production
        Type: general
      – SubjectFull: Europe
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      – TitleFull: Risk-Based Framework (RBF) for a UK Pan-European Supergrid.
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            NameFull: Burrow, Michael P.N.
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            NameFull: Hunt, Dexter V.L.
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              Text: Apr2017
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              Y: 2017
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