Invernizzi, DC orcid.org/0000-0001-8178-9557, Locatelli, G orcid.org/0000-0001-9986-2249 and Brookes, NJ (2019) An exploration of the relationship between nuclear decommissioning projects characteristics and cost performance. Progress in Nuclear Energy, 110. pp. 129-141. ISSN 0149-1970
Abstract
Nuclear Decommissioning Projects and Programmes (NDPs) are characterized by high complexity and variety, and a schedule that can take decades. Moreover, NDPs estimates at completion can reach billions of Euro and (for many of these projects) keep increasing, while there is a limited understanding of why this happens. To address this knowledge gap, this paper describes how to statistically test the association between the NDP characteristics and the NDP cost performance. The implementation of statistics on a pool of European NDPs highlights the significance of several country-specific and site-specific characteristics (e.g. respectively, the governance system and the availability of facilities to deal with radioactive material on site). Hence, the original contribution of this paper consists in (i) the selection of statistical tests suitable for analysing small sample sizes (i.e. NDPs) and (ii) the presentation of the results from the implementation of these tests on a pool of 24 European NDPs with an illustrative purpose.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Published by Elsevier Ltd. 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: | Nuclear decommissioning; Benchmarking; Statistical analysis; Fisher's exact test; Barnard's test |
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) |
Funding Information: | Funder Grant number National Nuclear Laboratory Limited NNL/UA/002 |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Sep 2018 14:56 |
Last Modified: | 25 Sep 2019 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.pnucene.2018.09.011 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136227 |