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Modelling, validation, and control of an industrial fuel gas blending system

Dissertation (MEng)--University of Pretoria, 2011.

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Other Authors: Craig, Ian K.
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Craig, Ian K.
author_browse Craig, Ian K.
author_facet Craig, Ian K.
collection Thesis
dc_rights_str_mv © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng)--University of Pretoria, 2011.
format Thesis
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:40:14.906Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/27480 Modelling, validation, and control of an industrial fuel gas blending system Craig, Ian K. nelismuller@gmail.com Muller, Cornelius Jacobus Validation State-space model Model predictive control Dynamic model Real-time optimization UCTD Dissertation (MEng)--University of Pretoria, 2011. In industrial fuel gas preparation, there are several compositional properties that must be controlled within specified limits. This allows client plants to use the fuel gas mixture safely without having to adjust and control the composition themselves. The variables to be controlled are the Higher Heating Value (HHV), Wobbe Index (WI), Flame Speed Index (FSI), and Pressure (P). These variables are controlled by adjusting the volumetric flow rates of several inlet gas streams of which some are makeup streams (always available) and some are wild streams that vary in composition and availability (by-products of plants). The inlet streams need to be adjusted in the correct ratios to keep all the controlled variables (CVs) within limits while minimising the cost of the gas blend. Furthermore, the controller needs to compensate for fluctuations in inlet stream compositions and total fuel gas demand (the total discharge from the header). This dissertation describes the modelling and model validation of an industrial fuel gas header as well as a simulation study of three different Model Predictive Control (MPC) strategies for controlling the system while minimising the overall operating cost. Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T11:38:25Z 2011-09-21 2013-09-07T11:38:25Z 2011-09-14 2011-09-21 2011-08-23 Dissertation Muller, CJ 2011, Modelling, validation, and control of an industrial fuel gas blending system, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27480 > C/11/9/117/ag http://hdl.handle.net/2263/27480 http://upetd.up.ac.za/thesis/available/etd-08232011-113626/ © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Validation
State-space model
Model predictive control
Dynamic model
Real-time optimization
UCTD
Modelling, validation, and control of an industrial fuel gas blending system
title Modelling, validation, and control of an industrial fuel gas blending system
title_full Modelling, validation, and control of an industrial fuel gas blending system
title_fullStr Modelling, validation, and control of an industrial fuel gas blending system
title_full_unstemmed Modelling, validation, and control of an industrial fuel gas blending system
title_short Modelling, validation, and control of an industrial fuel gas blending system
title_sort modelling validation and control of an industrial fuel gas blending system
topic Validation
State-space model
Model predictive control
Dynamic model
Real-time optimization
UCTD
url http://hdl.handle.net/2263/27480
http://upetd.up.ac.za/thesis/available/etd-08232011-113626/