Tomlin, AS and Turanyi, T (2013) Investigation and improvement of reaction mechanisms using sensitivity analysis and optimization. In: Battin-Leclerc, F, Simmie, JM and Blurock, E, (eds.) Cleaner combustion: developing detailed chemical kinetic models. Green energy and technology . Springer , 411 - 445. ISBN 978-1-4471-5306-1
Abstract
The Chapter will describe a range of mathematical tools for model sensitivity and uncertainty analysis which may assist in the evaluation of large combustion mechanisms. The aim of such methods is to determine key model input parameters that drive the uncertainty in predicted model outputs. Approaches based on linear sensitivity, linear uncertainty and global uncertainty analysis will be described as well as examples of their application to chemical kinetic modelling in combustion. Improving the robustness of model predictions depends on reducing the extent of uncertainty within the input parameters. This can be achieved via a variety of methods including measurements and theoretical calculations. Optimization techniques which bring together wide sources of data can assist in further constraining the input parameters of a model and therefore reducing the overall model uncertainty. Such methods and their recent application to several combustion mechanisms will be described here.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Energy Research Institute (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Dec 2014 10:12 |
Last Modified: | 04 Dec 2014 10:12 |
Published Version: | http://dx.doi.org/10.1007/978-1-4471-5307-8_16 |
Status: | Published |
Publisher: | Springer |
Series Name: | Green energy and technology |
Identification Number: | 10.1007/978-1-4471-5307-8_16 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81719 |