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An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction
Thesis (PhD)--Stellenbosch University, 2018.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2018
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| _version_ | 1867614115155935232 |
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| access_status_str | Open Access |
| author | Du Toit, Philip C. |
| author2 | Meyer, Chris J. |
| author_browse | Du Toit, Philip C. Meyer, Chris J. |
| author_facet | Meyer, Chris J. Du Toit, Philip C. |
| author_sort | Du Toit, Philip C. |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (PhD)--Stellenbosch University, 2018. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/103817 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:46:54.487Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/103817 An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction Du Toit, Philip C. Meyer, Chris J. Laubscher, Ryno Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. Eddy Dissipation Concept Combustion Artificial intelligence -- Engineering applications Biomass devolatilisation Neural networks (Computer science) UCTD Thesis (PhD)--Stellenbosch University, 2018. ENGLISH SUMMARY: The ground work to include more detailed chemistry than global approaches in a combustion simulation was completed. A reduced-order model of the Biomass Chemical Percolation Devolatilisation model, ANN-Bio-CPD, was developed and implemented with artifcial neural networks in order to achieve ease of execution and computational cost reduction with regard to an industrial computational fluids dynamics application. ANN-Bio-CPD was validated with wire-mesh reactor and drop-tube furnace experiments from literature. Subsequently, the Eddy Dissipation Concept (EDC) turbulence-chemistry interaction model was implemented and validated with ANN-Bio-CPD in a bagasse- fired boiler simulation. The EDC model constants were adjusted to achieve the correct temperature and intermediate species results in combination with a two-step global reaction mechanism. AFRIKAANSE OPSOMMING: 'n Kunsmatige intelligensiebenadering vir biomassa-devolatilisering in 'n industriële CFD-model met gevorderde turbulensie-chemie-interaksie. Die basis om meer gedetailleerde chemie as globale benaderings in 'n verbrandingsimulasie in te sluit, is voltooi. 'n Verminderde-orde model van die Biomassa Chemiese Perkolasie Devolatilisering model, ANN-Bio-CPD, is ontwikkel en met kunsmatige neurale netwerke geïmplementeer om uitvoering te vergemaklik en berekeningskostes te verminder rakende die toepassing van numeriese vloeidinamika op 'n industriële skaal. ANN-Bio-CPD is gevalideer met die eksperimente van draad-maas reaktors- en valbuis-oonde uit die literatuur. Vervolgens is die "Eddy Dissipation Concept"(EDC) turbulensie-chemie interaksie model geïmplementeer en gevalideer met ANN-Bio-CPD in 'n bagasse-gestookte ketelsimulasie. Die EDCmodelkonstantes is aangepas om die korrekte temperatuur en intermediêre spesies resultate te bereik in kombinasie met 'n tweestap globale reaksie meganisme. Doctoral 2018-02-28T13:04:42Z 2018-04-09T07:10:25Z 2018-02-28T13:04:42Z 2018-04-09T07:10:25Z 2018-03 Thesis http://hdl.handle.net/10019.1/103817 en_ZA Stellenbosch University xix, 141 pages ; illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Eddy Dissipation Concept Combustion Artificial intelligence -- Engineering applications Biomass devolatilisation Neural networks (Computer science) UCTD Du Toit, Philip C. An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title | An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title_full | An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title_fullStr | An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title_full_unstemmed | An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title_short | An artificial intelligence approach for biomass devolatilisation in an industrial CFD model with advanced turbulence-chemistry interaction |
| title_sort | artificial intelligence approach for biomass devolatilisation in an industrial cfd model with advanced turbulence chemistry interaction |
| topic | Eddy Dissipation Concept Combustion Artificial intelligence -- Engineering applications Biomass devolatilisation Neural networks (Computer science) UCTD |
| url | http://hdl.handle.net/10019.1/103817 |
| work_keys_str_mv | AT dutoitphilipc anartificialintelligenceapproachforbiomassdevolatilisationinanindustrialcfdmodelwithadvancedturbulencechemistryinteraction AT dutoitphilipc artificialintelligenceapproachforbiomassdevolatilisationinanindustrialcfdmodelwithadvancedturbulencechemistryinteraction |