Nuclear reprocessing: A simulation metamodelling approach
Nuclear reprocessing: A simulation metamodelling approach
Sellafield Ltd is looking to improve the performance of the Magnox Reprocessing plant. To support the improvement programme The National Nuclear Laboratory was asked to use the existing simulation model to understand the impact of individual projects and the combined programme of proposed changes on a performance target. Historically, the approach to identifying a suitable portfolio of improvements has been through experience with the model and then a process of trial and error running the simulation model until the required performance target is met. This is time consuming and limits responsiveness to customer requirements. This paper reports our initial findings on the use of response surface methodology to develop simulation-based metamodel using smaller data sets. The results indicates that these type of metamodels can produce a good estimate for the mean and standard deviation of the performance target.
Metamodelling, Nuclear, Response Surface Methodology, Simulation, Simulation Metamodel
10-18
Operational Research Society
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Jennings, Paul
f8c6edcb-992b-41e9-8def-7d59d639c1be
1 January 2012
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Jennings, Paul
f8c6edcb-992b-41e9-8def-7d59d639c1be
Onggo, Stephan and Jennings, Paul
(2012)
Nuclear reprocessing: A simulation metamodelling approach.
Heavey, Cathal, van der Zee, Durk-Jouke, Tjahjono, Benny and Onggo, Stephan
(eds.)
In 2012 Operational Research Society Simulation Workshop, SW 2012.
Operational Research Society.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Sellafield Ltd is looking to improve the performance of the Magnox Reprocessing plant. To support the improvement programme The National Nuclear Laboratory was asked to use the existing simulation model to understand the impact of individual projects and the combined programme of proposed changes on a performance target. Historically, the approach to identifying a suitable portfolio of improvements has been through experience with the model and then a process of trial and error running the simulation model until the required performance target is met. This is time consuming and limits responsiveness to customer requirements. This paper reports our initial findings on the use of response surface methodology to develop simulation-based metamodel using smaller data sets. The results indicates that these type of metamodels can produce a good estimate for the mean and standard deviation of the performance target.
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More information
Published date: 1 January 2012
Venue - Dates:
2012 Operational Research Society Simulation Workshop, SW 2012, Worcester, Worcestershire, United Kingdom, 2012-03-27 - 2012-03-28
Keywords:
Metamodelling, Nuclear, Response Surface Methodology, Simulation, Simulation Metamodel
Identifiers
Local EPrints ID: 433742
URI: http://eprints.soton.ac.uk/id/eprint/433742
PURE UUID: d7ae80c3-b953-44f2-b2dc-62bace023253
Catalogue record
Date deposited: 03 Sep 2019 16:30
Last modified: 10 Feb 2023 02:58
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Contributors
Author:
Paul Jennings
Editor:
Cathal Heavey
Editor:
Durk-Jouke van der Zee
Editor:
Benny Tjahjono
Editor:
Stephan Onggo
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