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Defining and quantifying ventilation modelling error for deep-level mines
Thesis (MEng)--Stellenbosch University, 2024.
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| Format: | Thesis |
| Language: | en_ZA en_ZA |
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Stellenbosch : Stellenbosch University
2024
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| _version_ | 1867613811381370880 |
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| access_status_str | Open Access |
| author | Botha, Eugene Philip |
| author2 | Schutte, Cornelius Stephanus Lodewyk |
| author_browse | Botha, Eugene Philip Schutte, Cornelius Stephanus Lodewyk |
| author_facet | Schutte, Cornelius Stephanus Lodewyk Botha, Eugene Philip |
| author_sort | Botha, Eugene Philip |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/130653 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA en_ZA |
| last_indexed | 2026-06-10T12:42:04.592Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/130653 Defining and quantifying ventilation modelling error for deep-level mines Botha, Eugene Philip Schutte, Cornelius Stephanus Lodewyk Van Laar, Jean Herman Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Mine ventilation Simulated annealing (Mathematics) Deep-level mines CAD/CAM systems UCTD Thesis (MEng)--Stellenbosch University, 2024. ENGLISH ABSTRACT: The ventilation network is critical to provide a safe and productive working environment for personnel in deep-level mines. The ventilation system is commonly planned using simulation packages, to ensure legal requirements regarding volumes and temperatures are met. The theory of these hydraulic networks is well understood, however the uncertainty and propagation of errors from the inputs to the outputs are uncertain. This undermines the aim of ventilation planning and therefore requires adequate model validation practices. This study modelled a simple underground ventilation network which was simulated using quantified uncertainty ranges for the inputs using a Monte Carlo simulation. This allowed the uncertainty in inputs to be propagated to the outputs and their effect quantified. Model error metrics were tested to determine which were the most sensitive using information entropy. From the results, the mean absolute error (MAE) was the most sensitive, with the smallest differential entropy of -0.717 bits. Sensitivity analysis identified the largest contributors of uncertainty to the airway resistances. In the case of ducts this was found to be either the duct length or friction factor, whereas for haulages it was the perimeter and area. These results were incorporated into a validation guideline that was obtained from the literature. The validation guideline, to be used in the industry, is a critical step in both understanding and limiting the error in deep-level mine ventilation models. AFRIKAANSE OPSOMMING: Die ventilasie netwerk van diep-vlak myne is uiters belangrik om ’n veilige en produktiewe werksomgewing te skep en te onderhou. Om te verseker dat die volumes lug en temperature voldoen aan wetgewing, word hierdie ventilasiesisteme beplan met simulasie sagteware. Alhoewel die teorie rondom sulke hidroliese stelsels bekend is, het onsekerheid en foute ’n invloed op die resultate wat onbekend is. Dit ondermyn die doel van hierdie beplanning en dus is model validering nodig om akkuraatheid te verseker. Die studie het ’n ondergrondse ventilasienetwerk gemodelleer en gesimuleer vir reekse van veranderlikes deur middel van ’n Monte Carlo simulasie. Die reeks van resultate was dan gebruik om verskillende foutmetrieke se sensitiwiteit te toets deur middel van inligtingsentropie. Die gemiddeldeabsolute-afwyking (MAE) was gevind om die sensitiefste te wees, met die kleinste differensiële entropie van -0.717 bits. Sensitiwiteitsanalise was ook voltooi op die veranderlikes van die model en daar was gevind dat lengte of die wrywingsfaktor die grootste invloed het op ventilasiepype. In die geval van tonnels het die omtrek en area die grootste invloed gehad. Hierdie resultate was geïnkorporeer met ’n modelvalidasiegids wat ontwikkel is vanaf die literatuur. Hierdie modelvalidasiegids vorm dan deel van modelontwikkeling, sodat onsekerheid en foute bestry kan word om akkuraatheid te verseker. Masters 2024-02-13T08:30:59Z 2024-04-27T01:26:38Z 2024-02-13T08:30:59Z 2024-04-27T01:26:38Z 2024-03 Thesis https://scholar.sun.ac.za/handle/10019.1/130653 en_ZA en_ZA Stellenbosch University xiv, 110 pages : illustrations. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Mine ventilation Simulated annealing (Mathematics) Deep-level mines CAD/CAM systems UCTD Botha, Eugene Philip Defining and quantifying ventilation modelling error for deep-level mines |
| title | Defining and quantifying ventilation modelling error for deep-level mines |
| title_full | Defining and quantifying ventilation modelling error for deep-level mines |
| title_fullStr | Defining and quantifying ventilation modelling error for deep-level mines |
| title_full_unstemmed | Defining and quantifying ventilation modelling error for deep-level mines |
| title_short | Defining and quantifying ventilation modelling error for deep-level mines |
| title_sort | defining and quantifying ventilation modelling error for deep level mines |
| topic | Mine ventilation Simulated annealing (Mathematics) Deep-level mines CAD/CAM systems UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/130653 |
| work_keys_str_mv | AT bothaeugenephilip definingandquantifyingventilationmodellingerrorfordeeplevelmines |