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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 122096159 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Risk-Based Framework (RBF) for a UK Pan-European Supergrid. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Eskandari+Torbaghan%2C+Mehran%22">Eskandari Torbaghan, Mehran</searchLink><relatesTo>1</relatesTo><i> M.Eskandaritorbaghan@bham.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Burrow%2C+Michael+P%2EN%2E%22">Burrow, Michael P.N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hunt%2C+Dexter+V%2EL%2E%22">Hunt, Dexter V.L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Elcheikh%2C+Marwa%22">Elcheikh, Marwa</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>. Apr2017, Vol. 124, p124-132. 9p. – Name: Subject Label: Subjects Group: Su 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> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab 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 Label: Group: Ab 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: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.energy.2017.02.058 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 124 Subjects: – 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 Type: general Titles: – TitleFull: Risk-Based Framework (RBF) for a UK Pan-European Supergrid. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eskandari Torbaghan, Mehran – PersonEntity: Name: NameFull: Burrow, Michael P.N. – PersonEntity: Name: NameFull: Hunt, Dexter V.L. – PersonEntity: Name: NameFull: Elcheikh, Marwa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 03605442 Numbering: – Type: volume Value: 124 Titles: – TitleFull: Energy Type: main |
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