Author dc.contributor.author | Karches Tamás | |
Availability Date dc.date.accessioned | 2023-02-17T11:19:47Z | |
Availability Date dc.date.available | 2023-02-17T11:19:47Z | |
Release dc.date.issued | 2019 | |
Issn dc.identifier.issn | 1743-761X | |
Issn dc.identifier.issn | 1743-7601 | |
uri dc.identifier.uri | http://hdl.handle.net/20.500.12944/20038 | |
Abstract dc.description.abstract | Mass balance models in wastewater treatment may overpredict the organic matter degradation in aerated basins, because the simulation tools apply simplified reactor models, which could not represent the actual hydrodynamic and mixing conditions in the reactors. Ineffective reactor zones, short hydraulic circuits could have an effect on the actual performance of treatment process. In this paper, a wastewater treatment plant with a capacity of 10 MLD was investigated, where residence time distribution (RTD) analysis performed with computational fluid dynamics tools determined the actual time for biodegradation, and the biokinetic model could be updated. For the numerical RTD analysis 3D transient multiphase flow with turbulence closure was applied, whereas mass balance modelling used GPS-X simulation tool calibrated by field data. The model results were in good agreement with the measured chemical oxygen demand, total suspended solid values in treated effluent, and this method highlighted the importance of extension of mass balance modelling with hydrodynamic calculations. | |
Language dc.language | en | |
Keywords dc.subject | Reactor model | |
Keywords dc.subject | Reactor model | |
Keywords dc.subject | wastewater | |
Keywords dc.subject | Numerical residence time | |
Keywords dc.subject | Analysis | |
Title dc.title | Adjustment of Reactor Model in Organic Matter Removal from Wastewater Applying Numerical Residence Time Distribution Analysis | |
Type dc.type | folyóiratcikk | |
Date Change dc.date.updated | 2023-02-15T18:42:57Z | |
Version dc.description.version | kiadói | |
dc.rights.accessRights | nyílt hozzáférésű | |
dc.description.notes | EFOP-3.6.1-16-2016-00025 azonosító számú „A vízgazdálkodási felsőoktatás erősítése az intelligens szakosodás keretében” című projekt forrásból finanszírozva. | |
Doi ID dc.identifier.doi | 10.2495/SDP-V14-N4-347-355 | |
Discipline Discipline + dc.subject.discipline | Műszaki tudományok | |
dc.subject.sciencebranch | Műszaki tudományok/Bio-, Környezet- és vegyészmérnöki tudományok | |
MTMT ID dc.identifier.mtmt | 30809969 | |
dc.identifier.journalTitle | International Journal of Sustainable Development and Planning | |
dc.identifier.journalVolume | 14 | |
dc.identifier.journalIssueNumber | 4 | |
Scope dc.format.page | 347-355 | |
ID Scopus dc.identifier.scopus | 85072678723 | |
dc.identifier.journalAbbreviatedTitle | INT J SUST DEV PLANN | |
Release Date dc.description.issuedate | 2019 | |
Author institution dc.contributor.department | Vízépítési Tanszék | |
Author institution dc.contributor.department | Vízi Közmű és Környezetmérnöki Tanszék |