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Plantwide control of an SO2 abatement plant

Dissertation (MEng (Chemical Engineering))--University of Pretoria, 2023.

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Other Authors: De Vaal, Philip L.
Format: Thesis
Language:English
Published: University of Pretoria 2024
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access_status_str Open Access
author2 De Vaal, Philip L.
author_browse De Vaal, Philip L.
author_facet De Vaal, Philip L.
collection Thesis
dc_rights_str_mv © 2023 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 (Chemical Engineering))--University of Pretoria, 2023.
format Thesis
id oai:repository.up.ac.za:2263/94485
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:17.781Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/94485 Plantwide control of an SO2 abatement plant De Vaal, Philip L. minet.uys@tuks.co.za Brooks, Kevin Crafford, Minèt UCTD Plantwide control strategies Acid plant Dynamic model SO2 abatement Simulation Sustainable Development Goals (SDGs) Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Dissertation (MEng (Chemical Engineering))--University of Pretoria, 2023. This study focused on an SO2 abatement plant for a platinum group metal (PGM) smelting electric furnace. A systematic approach, using a simulated model of the plant, was followed to investigate plantwide control measures and thereby refine the plant's control philosophy. A steady-state model of a Wet gas Sulfuric Acid plant was developed using Aspen HYSYS software. The model was converted to a dynamic model to enable the evaluation of interactions within the process. This dynamic model was used while implementing a top-down, bottom-up plantwide control procedure. The results produced a control structure by which the first converter’s inlet temperature controls the final SO2 concentration. The feed gas heater’s (second heater in the system) outlet temperature is controlled by varying the steam flow rate, which is used as a means of disturbance rejection. Furthermore, using a dynamic model to implement a systematic plantwide control procedure eliminates the need to develop complex mathematical models while providing the opportunity to continuously validate the decisions made and selected manipulated and controlled variable pairings. Additional benefits of using a dynamic simulation model to implement a plantwide control model are: • It provides a link between steady-state optimisation and process control. • Self-optimising control is considered. • Improved understanding of the process and interactions in the process. • Provides a base model with the possibility to apply the solution to similar plants with minimal adjustment. • The opportunity of implementing dynamic matric control or model predictive control models to live plants (software dependent). • Constant consideration of the control and operation of the plant as well as the overall (plantwide) control objective. Chemical Engineering MEng (Chemical Engineering) Unrestricted Faculty of Engineering, Built Environment and Information Technology SDG-09: Industry, innovation and infrastructure 2024-02-12T09:38:18Z 2024-02-12T09:38:18Z 2024-04 2023 Dissertation * A2024 http://hdl.handle.net/2263/94485 DOI: https://doi.org/10.25403/UPresearchdata.25202060.v1 10.25403/UPresearchdata.25202060 en © 2023 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 UCTD
Plantwide control strategies
Acid plant
Dynamic model
SO2 abatement
Simulation
Sustainable Development Goals (SDGs)
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
Plantwide control of an SO2 abatement plant
title Plantwide control of an SO2 abatement plant
title_full Plantwide control of an SO2 abatement plant
title_fullStr Plantwide control of an SO2 abatement plant
title_full_unstemmed Plantwide control of an SO2 abatement plant
title_short Plantwide control of an SO2 abatement plant
title_sort plantwide control of an so2 abatement plant
topic UCTD
Plantwide control strategies
Acid plant
Dynamic model
SO2 abatement
Simulation
Sustainable Development Goals (SDGs)
Engineering, built environment and information technology theses SDG-09
SDG-09: Industry, innovation and infrastructure
Engineering, built environment and information technology theses SDG-12
SDG-12: Responsible consumption and production
url http://hdl.handle.net/2263/94485