Invernizzi, DC, Locatelli, G orcid.org/0000-0001-9986-2249 and Brookes, NJ (2017) How benchmarking can support the selection, planning and delivery of nuclear decommissioning projects. Progress in Nuclear Energy, 99. pp. 155-164. ISSN 0149-1970
Abstract
Nuclear Decommissioning Projects and Programmes (NDPs) are jeopardized by several risks, long schedule and cost estimates that lay in the range of hundreds of billions of pounds. Moreover, in some countries, these estimates keep increasing and key stakeholders have a limited understanding of the determinants that engender this phenomena. Benchmarking refers to the process of comparing projects in order to identify best practices and generate ideas for improvement. However, even if it is the envisaged approach to tackle the decommissioning challenges (and due to the NDPs’ uniqueness), until now, benchmarking has been only partially used. This paper proposes an innovative methodology to benchmark decommissioning projects, both from the nuclear and non-nuclear industry, within the UK and worldwide. From this cross-sectorial and cross-country analysis, it is possible to gather a list of key NDPs’ characteristic and statistically test their correlation with the project performance. The ultimate aim of the research underpinning this paper is to investigate the possible causation between the NDPs’ characteristics and the NDPs’ performance and to develop guidelines to improve the selection, planning and delivery of future NDPs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Progress in Nuclear Energy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Decommissioning; Nuclear legacy; Benchmarking; Methodology; Statistical analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Institute for Resilient Infrastructure (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jun 2017 10:51 |
Last Modified: | 29 May 2018 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.pnucene.2017.05.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117185 |