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Assessment of disparate strategies for octane prediction

Includes bibliographical references.

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Bibliographic Details
Main Author: Viljoen, Carl
Other Authors: Möller, Klaus
Format: Thesis
Language:English
Published: Department of Chemical Engineering 2015
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access_status_str Open Access
author Viljoen, Carl
author2 Möller, Klaus
author_browse Möller, Klaus
Viljoen, Carl
author_facet Möller, Klaus
Viljoen, Carl
author_sort Viljoen, Carl
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/12791
institution University of Cape Town (South Africa)
language eng
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Chemical Engineering
publisherStr Department of Chemical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/12791 Assessment of disparate strategies for octane prediction Viljoen, Carl Möller, Klaus Yates, Andrew Chemical Engineering Includes bibliographical references. Octane quality is a key factor in determining the profitability in a modern refinery. The final commercial product is defined by the combined blend of various gasoline component streams which are produced from different units within the refinery. The accurate prediction of the octane numbers of these blends enables the economic optimization of the production process. Currently, empirical octane models are used exclusively for this purpose. Octane is a measure of the spontaneous autoignition propensity of a fuel-air mixture and it is quantified using a specific engine-based test method. This research project was founded on the premise that an improved octane prediction model could be harvested from building blocks that included a fundamental understanding of autoignition, appropriate choices of autoignition models and an engine model. This objective was pursued in this work by investigating detailed and reduced kinetic mechanisms for the oxidation of selected fuel molecules using various modeling techniques. Empirical octane models and semi-chemical models of autoignition were also investigated. All of these methodologies were assessed as possible strategies towards octane prediction. In this study it was observed that both detailed and highly reduced kinetic models could describe the oxidation behaviour of pure fuel components and predict their subsequent ignition delays. 2015-05-13T14:17:35Z 2015-05-13T14:17:35Z 2009 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/12791 eng application/pdf Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Chemical Engineering
Viljoen, Carl
Assessment of disparate strategies for octane prediction
thesis_degree_str Doctoral
title Assessment of disparate strategies for octane prediction
title_full Assessment of disparate strategies for octane prediction
title_fullStr Assessment of disparate strategies for octane prediction
title_full_unstemmed Assessment of disparate strategies for octane prediction
title_short Assessment of disparate strategies for octane prediction
title_sort assessment of disparate strategies for octane prediction
topic Chemical Engineering
url http://hdl.handle.net/11427/12791
work_keys_str_mv AT viljoencarl assessmentofdisparatestrategiesforoctaneprediction