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Modelling techniques for biological systems
The objective of this investigation has been to develop and evaluate techniques which are appropriate to the modelling and simulation of biological reaction system behaviour. The model used as the basis for analysis of modelling and simulation techniques is a reduced version of the biological model...
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| Format: | Thesis |
| Language: | English |
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Department of Chemical Engineering
2016
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| _version_ | 1867613432485773312 |
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| access_status_str | Open Access |
| author | Billing, Alison Emslie |
| author2 | Dold, Peter Lorimer |
| author_browse | Billing, Alison Emslie Dold, Peter Lorimer |
| author_facet | Dold, Peter Lorimer Billing, Alison Emslie |
| author_sort | Billing, Alison Emslie |
| collection | Thesis |
| description | The objective of this investigation has been to develop and evaluate techniques which are appropriate to the modelling and simulation of biological reaction system behaviour. The model used as the basis for analysis of modelling and simulation techniques is a reduced version of the biological model proposed by the IAWPRC Task Group for mathematical modell ing in wastewater treatment design. This limited model has the advantage of being easily manageable in terms of analysis and presentation of the simulation techniQues whilst at the same time incorporating a range of features encountered with biological growth applications in general. Because a model may incorporate a number of different components and large number of biological conversion processes, a convenient method of presentation was found to be a matrix format. The matrix representation ensures clarity as to what compounds, processes and react ion terms are to be incorporated and allows easy comparison of different models. In addition, it facilitates transforming the model into a computer program. Simulation of the system response first involves specifying the reactor configuration and flow patterns. With this information fixed, mass balances for each compound in each reactor can be completed. These mass balances constitute a set of simultaneous non-linear differential and algebraic eQuations which, when solved, characterise the system behaviour. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/21917 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:36:03.537Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Chemical Engineering |
| publisherStr | Department of Chemical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/21917 Modelling techniques for biological systems Billing, Alison Emslie Dold, Peter Lorimer Biological systems - Models Biochemistry - Models Chemical Engineering The objective of this investigation has been to develop and evaluate techniques which are appropriate to the modelling and simulation of biological reaction system behaviour. The model used as the basis for analysis of modelling and simulation techniques is a reduced version of the biological model proposed by the IAWPRC Task Group for mathematical modell ing in wastewater treatment design. This limited model has the advantage of being easily manageable in terms of analysis and presentation of the simulation techniQues whilst at the same time incorporating a range of features encountered with biological growth applications in general. Because a model may incorporate a number of different components and large number of biological conversion processes, a convenient method of presentation was found to be a matrix format. The matrix representation ensures clarity as to what compounds, processes and react ion terms are to be incorporated and allows easy comparison of different models. In addition, it facilitates transforming the model into a computer program. Simulation of the system response first involves specifying the reactor configuration and flow patterns. With this information fixed, mass balances for each compound in each reactor can be completed. These mass balances constitute a set of simultaneous non-linear differential and algebraic eQuations which, when solved, characterise the system behaviour. 2016-09-25T16:49:09Z 2016-09-25T16:49:09Z 1987 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/21917 eng application/pdf Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Biological systems - Models Biochemistry - Models Chemical Engineering Billing, Alison Emslie Modelling techniques for biological systems |
| thesis_degree_str | Master's |
| title | Modelling techniques for biological systems |
| title_full | Modelling techniques for biological systems |
| title_fullStr | Modelling techniques for biological systems |
| title_full_unstemmed | Modelling techniques for biological systems |
| title_short | Modelling techniques for biological systems |
| title_sort | modelling techniques for biological systems |
| topic | Biological systems - Models Biochemistry - Models Chemical Engineering |
| url | http://hdl.handle.net/11427/21917 |
| work_keys_str_mv | AT billingalisonemslie modellingtechniquesforbiologicalsystems |