Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations
UASB reactors are a promising option for environmentally friendly wastewater treatment due to their reduced carbon footprint and their capacity to treat a variety of wastewater strengths, among other recognized advantages over alternative wastewater treatment systems. The Influent Distribution Syste...
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oai:doaj.org-article:f7ba3563d3cf4182bc4942d36522ab552021-11-11T19:58:29ZHydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations10.3390/w132131412073-4441https://doaj.org/article/f7ba3563d3cf4182bc4942d36522ab552021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3141https://doaj.org/toc/2073-4441UASB reactors are a promising option for environmentally friendly wastewater treatment due to their reduced carbon footprint and their capacity to treat a variety of wastewater strengths, among other recognized advantages over alternative wastewater treatment systems. The Influent Distribution System (IDS) is a critical structure for generating granules in a UASB reactor since it provides the required flow hydrodynamics for their formation. Thus, the objective of this study was to evaluate and compare the efficiency of five IDS configurations to generate ideal granulation conditions using Computational Fluid Dynamics (CFD) simulations. The IDS configurations were as follows: (C1) single radial inflow, (C2) upward axial inflow, (C3) downward distributed axial inflow, and two novel configurations in the form of (C4) double opposite radial inflow and (C5) downward tangential inflow. The hydrodynamic response of configuration C1 was validated in a physical model with dynamic Froude similitude. The granulation measurement was velocity-based in the reactor reaction zone using steady-state CFD simulations. The novel IDS configuration C4 was the one that resulted in the highest granulation volume, with up to 45.5% of the potential granulation volume of the UASB reactor, in contrast to the IDS C2 that obtained the lowest granulation with only 10.8%. Results confirm that the IDS directly impacts the hydrodynamics of the reactor and that model-based design can be used to ascertain IDS configurations that better promote granulation in UASB reactors.Juan F. CisnerosFabiola CobosManuel Raul Pelaez-SamaniegoUsman RehmanIngmar NopensAndrés AlvaradoMDPI AGarticlewastewater treatmentcomputational fluid dynamics (CFD)UASBinfluent distribution system (IDS)opposite radial inflowgranulationHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3141, p 3141 (2021) |
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DOAJ |
language |
EN |
topic |
wastewater treatment computational fluid dynamics (CFD) UASB influent distribution system (IDS) opposite radial inflow granulation Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
spellingShingle |
wastewater treatment computational fluid dynamics (CFD) UASB influent distribution system (IDS) opposite radial inflow granulation Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Juan F. Cisneros Fabiola Cobos Manuel Raul Pelaez-Samaniego Usman Rehman Ingmar Nopens Andrés Alvarado Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
description |
UASB reactors are a promising option for environmentally friendly wastewater treatment due to their reduced carbon footprint and their capacity to treat a variety of wastewater strengths, among other recognized advantages over alternative wastewater treatment systems. The Influent Distribution System (IDS) is a critical structure for generating granules in a UASB reactor since it provides the required flow hydrodynamics for their formation. Thus, the objective of this study was to evaluate and compare the efficiency of five IDS configurations to generate ideal granulation conditions using Computational Fluid Dynamics (CFD) simulations. The IDS configurations were as follows: (C1) single radial inflow, (C2) upward axial inflow, (C3) downward distributed axial inflow, and two novel configurations in the form of (C4) double opposite radial inflow and (C5) downward tangential inflow. The hydrodynamic response of configuration C1 was validated in a physical model with dynamic Froude similitude. The granulation measurement was velocity-based in the reactor reaction zone using steady-state CFD simulations. The novel IDS configuration C4 was the one that resulted in the highest granulation volume, with up to 45.5% of the potential granulation volume of the UASB reactor, in contrast to the IDS C2 that obtained the lowest granulation with only 10.8%. Results confirm that the IDS directly impacts the hydrodynamics of the reactor and that model-based design can be used to ascertain IDS configurations that better promote granulation in UASB reactors. |
format |
article |
author |
Juan F. Cisneros Fabiola Cobos Manuel Raul Pelaez-Samaniego Usman Rehman Ingmar Nopens Andrés Alvarado |
author_facet |
Juan F. Cisneros Fabiola Cobos Manuel Raul Pelaez-Samaniego Usman Rehman Ingmar Nopens Andrés Alvarado |
author_sort |
Juan F. Cisneros |
title |
Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
title_short |
Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
title_full |
Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
title_fullStr |
Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
title_full_unstemmed |
Hydrodynamic Evaluation of Five Influent Distribution Systems in a Cylindrical UASB Reactor Using CFD Simulations |
title_sort |
hydrodynamic evaluation of five influent distribution systems in a cylindrical uasb reactor using cfd simulations |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f7ba3563d3cf4182bc4942d36522ab55 |
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