Plantwide control of an SO2 abatement plant

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dc.contributor.advisor De Vaal, Philip L.
dc.contributor.coadvisor Brooks, Kevin
dc.contributor.postgraduate Crafford, Minèt
dc.date.accessioned 2024-02-12T09:38:18Z
dc.date.available 2024-02-12T09:38:18Z
dc.date.created 2024-04
dc.date.issued 2023
dc.description Dissertation (MEng (Chemical Engineering))--University of Pretoria, 2023. en_US
dc.description.abstract 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. en_US
dc.description.availability Unrestricted en_US
dc.description.degree MEng (Chemical Engineering) en_US
dc.description.department Chemical Engineering en_US
dc.description.faculty Faculty of Engineering, Built Environment and Information Technology en_US
dc.description.sdg SDG-09: Industry, innovation and infrastructure en_US
dc.identifier.citation * en_US
dc.identifier.doi 10.25403/UPresearchdata.25202060 en_US
dc.identifier.other A2024 en_US
dc.identifier.uri http://hdl.handle.net/2263/94485
dc.identifier.uri DOI: https://doi.org/10.25403/UPresearchdata.25202060.v1
dc.language.iso en en_US
dc.publisher University of Pretoria
dc.rights © 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.
dc.subject UCTD en_US
dc.subject Plantwide control strategies en_US
dc.subject Acid plant
dc.subject Dynamic model
dc.subject SO2 abatement
dc.subject Simulation
dc.subject.other Sustainable Development Goals (SDGs)
dc.subject.other Engineering, built environment and information technology theses SDG-09
dc.subject.other SDG-09: Industry, innovation and infrastructure
dc.subject.other Engineering, built environment and information technology theses SDG-12
dc.subject.other SDG-12: Responsible consumption and production
dc.title Plantwide control of an SO2 abatement plant en_US
dc.type Dissertation en_US


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