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Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics

Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2021.

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Other Authors: Heyns, P.S. (Philippus Stephanus)
Format: Thesis
Language:English
Published: University of Pretoria 2022
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access_status_str Open Access
author2 Heyns, P.S. (Philippus Stephanus)
author_browse Heyns, P.S. (Philippus Stephanus)
author_facet Heyns, P.S. (Philippus Stephanus)
collection Thesis
dc_rights_str_mv © 2022 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 (Mechanical Engineering))--University of Pretoria, 2021.
format Thesis
id oai:repository.up.ac.za:2263/83665
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:49.221Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
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:2263/83665 Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics Heyns, P.S. (Philippus Stephanus) ackermann4321@gmail.com Wilke, Daniel Nicolas Ackermann, Ivan Ash-fouling Soot blowing Model discovery SINDy Recovery Boilers UCTD Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2021. This dissertation seeks to discover the underlying physics, that govern a soot blowing procedure for the removal of ash deposits, in a Kraft recovery boiler. The methodology consists of the design of a thermodynamic model, aimed at calculating fouling levels in an online capacity, the discovery of the strengths and shortcomings of the SINDy algorithm, and the implementation of this algorithm to discover the soot blowing physics. Fouling levels are determined by means of heat transfer coefficients, as local fouling measurements are not available. The methodology is applied to the secondary superheater in the Kraft recovery boiler at the SAPPI Ngodwana mill. Implementation of the SINDy algorithm shows, that it is possible to discover simple, interpretable physics models, that can be used for generalisation outside of the training data domain, however, significant data pre-processing is required before consistent general models can be established. SAPPI Southern Africa Mechanical and Aeronautical Engineering MEng (Mechanical Engineering) Unrestricted 2022-02-08T08:46:46Z 2022-02-08T08:46:46Z 2021-12 2021 Dissertation * A2022 http://hdl.handle.net/2263/83665 DOI: 10.25403/UPresearchdata.19146149 en © 2022 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 Ash-fouling
Soot blowing
Model discovery
SINDy
Recovery Boilers
UCTD
Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title_full Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title_fullStr Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title_full_unstemmed Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title_short Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics
title_sort towards the discovery of boiler physics in a kraft recovery boiler using sparse identification of non linear dynamics
topic Ash-fouling
Soot blowing
Model discovery
SINDy
Recovery Boilers
UCTD
url http://hdl.handle.net/2263/83665