An Integrated Approach to the Biological Reactor–Sedimentation Tank System
Secondary clarifiers are demanded to separate solids created in activated sludge biological processes to achieve both a clarified effluent and to manage the biological processes itself. Indeed, the biological process may influence the sludge characteristics, and conversely, the settling efficiency o...
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doaj-a4d55a2ab9f8493ebbbf74d3ff4dd0ee2020-11-25T00:20:50ZengMDPI AGResources2079-92762019-05-01829410.3390/resources8020094resources8020094An Integrated Approach to the Biological Reactor–Sedimentation Tank SystemSerena Conserva0Fabio Tatti1Vincenzo Torretta2Navarro Ferronato3Paolo Viotti4Department of Civil, Building and Environmental Engineering (DICEA), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, ItalyDepartment of Civil, Building and Environmental Engineering (DICEA), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, ItalyDepartment of Theoretical and Applied Sciences (DISTA), University of Insubria, Varese, Via G.B. Vico 46, 21100 Varese, ItalyDepartment of Theoretical and Applied Sciences (DISTA), University of Insubria, Varese, Via G.B. Vico 46, 21100 Varese, ItalyDepartment of Civil, Building and Environmental Engineering (DICEA), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, ItalySecondary clarifiers are demanded to separate solids created in activated sludge biological processes to achieve both a clarified effluent and to manage the biological processes itself. Indeed, the biological process may influence the sludge characteristics, and conversely, the settling efficiency of the sedimentation basin plays an important role on the biological process in the activated sludge system. The proposed model represents a tool for better addressing the design and management of activated sludge system in wastewater treatment plants. The aim is to develop a numerical model which takes into account both the conditions in the biological reactor and the sludge characteristics coupled to the hydrodynamic behavior of a clarifier tank. The obtained results show that the different conditions in the reactor exert a great influence on the sedimentation efficiency.https://www.mdpi.com/2079-9276/8/2/94activate sludgenumerical modelsecondary clarifiertreatment efficiency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Serena Conserva Fabio Tatti Vincenzo Torretta Navarro Ferronato Paolo Viotti |
spellingShingle |
Serena Conserva Fabio Tatti Vincenzo Torretta Navarro Ferronato Paolo Viotti An Integrated Approach to the Biological Reactor–Sedimentation Tank System Resources activate sludge numerical model secondary clarifier treatment efficiency |
author_facet |
Serena Conserva Fabio Tatti Vincenzo Torretta Navarro Ferronato Paolo Viotti |
author_sort |
Serena Conserva |
title |
An Integrated Approach to the Biological Reactor–Sedimentation Tank System |
title_short |
An Integrated Approach to the Biological Reactor–Sedimentation Tank System |
title_full |
An Integrated Approach to the Biological Reactor–Sedimentation Tank System |
title_fullStr |
An Integrated Approach to the Biological Reactor–Sedimentation Tank System |
title_full_unstemmed |
An Integrated Approach to the Biological Reactor–Sedimentation Tank System |
title_sort |
integrated approach to the biological reactor–sedimentation tank system |
publisher |
MDPI AG |
series |
Resources |
issn |
2079-9276 |
publishDate |
2019-05-01 |
description |
Secondary clarifiers are demanded to separate solids created in activated sludge biological processes to achieve both a clarified effluent and to manage the biological processes itself. Indeed, the biological process may influence the sludge characteristics, and conversely, the settling efficiency of the sedimentation basin plays an important role on the biological process in the activated sludge system. The proposed model represents a tool for better addressing the design and management of activated sludge system in wastewater treatment plants. The aim is to develop a numerical model which takes into account both the conditions in the biological reactor and the sludge characteristics coupled to the hydrodynamic behavior of a clarifier tank. The obtained results show that the different conditions in the reactor exert a great influence on the sedimentation efficiency. |
topic |
activate sludge numerical model secondary clarifier treatment efficiency |
url |
https://www.mdpi.com/2079-9276/8/2/94 |
work_keys_str_mv |
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