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    Simulation and optimisation of industrial steam reformers. Development of models for both primary and secondary steam reformers and implementation of optimisation to improve both the performance of existing equipment and the design of future equipment.

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    Publication date
    2010-07-27T13:55:55Z
    Author
    Dunn, Austin J.
    Supervisor
    Mujtaba, Iqbal M.
    Keyword
    Chemical reactors
    Chemical process systems
    Steam reformers
    Optimisation
    Chemical process modelling
    Chemical process simulation
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Department of Chemical Engineering
    Awarded
    2004
    
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    Abstract
    Traditionally the reactor is recognised as the `heart' of a chemical process system and hence the focus on this part of the system is usually quite detailed. Steam reforming, however, due to the `building block' nature of its reaction products is unusual and generally is perceived as a `utility' to other reaction processes and hence the focus is drawn " towards the 'main' reaction processes of the system. Additionally as a `mature' process, steam reforming is often treated as sufficiently defined for the requirements within the overall chemical process. For both primary and secondary steam reformers several models of varying complexity were developed which allowed assessment of issues raised about previous models and model improvements; drawing on the advancements in modelling that have not only allowed the possibility of increasing the scope of simulations but also increased confidence in the simulation results. Despite the complex nature of the steam reforming systems, a surprisingly simplistic model is demonstrated to perform well, however, to improve on existing designs and maximise the capability of current designs it is shown that more complex models are required. After model development the natural course is to optimisation. This is a powerful tool which must be used carefully as significant issues remain around its employment. Despite the remaining concerns, some simple optimisation cases showed the potential of the models developed in this work and although not exhaustive demonstrated the benefits of optimisation.
    URI
    http://hdl.handle.net/10454/4403
    Type
    Thesis
    Qualification name
    PhD
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    Theses

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