CFD Modelling of Particle-Driven Gravity Currents in Reservoirs

Reservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to st...

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Main Authors: Daniel Wildt, Christoph Hauer, Helmut Habersack, Michael Tritthart
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/5/1403
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spelling doaj-2b7c05f3ae434ccb9edc18387ce58f4d2020-11-25T02:53:56ZengMDPI AGWater2073-44412020-05-01121403140310.3390/w12051403CFD Modelling of Particle-Driven Gravity Currents in ReservoirsDaniel Wildt0Christoph Hauer1Helmut Habersack2Michael Tritthart3Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaChristian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaInstitute of Hydraulic Engineering and River Research, Department of Water–Atmosphere–Environment, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaChristian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences Vienna, Muthgasse 107, 1190 Vienna, AustriaReservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to study relevant processes. An existing in-house hydrodynamic code has been extended to model particle-driven gravity currents. This has been realised through a buoyancy term which was added as a source term to the momentum equation. The model was successfully verified and validated using literature data of lock exchange experiments. In addition, the capability of the model to optimize venting of turbidity currents as an efficient sediment management strategy for reservoirs was tested. The results show that the concentration field during venting agrees well with observations from laboratory experiments documented in literature. The relevance of particle-driven gravity currents for the flow field in reservoirs is shown by comparing results of simulations with and without buoyant forces included into the model. The accuracy of the model in the area of the bottom outlet can possibly be improved through the implementation of a non-upwind scheme for the advection of velocity.https://www.mdpi.com/2073-4441/12/5/1403turbidity currentssedimentreservoirventingcomputational fluid dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Wildt
Christoph Hauer
Helmut Habersack
Michael Tritthart
spellingShingle Daniel Wildt
Christoph Hauer
Helmut Habersack
Michael Tritthart
CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
Water
turbidity currents
sediment
reservoir
venting
computational fluid dynamics
author_facet Daniel Wildt
Christoph Hauer
Helmut Habersack
Michael Tritthart
author_sort Daniel Wildt
title CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
title_short CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
title_full CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
title_fullStr CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
title_full_unstemmed CFD Modelling of Particle-Driven Gravity Currents in Reservoirs
title_sort cfd modelling of particle-driven gravity currents in reservoirs
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-05-01
description Reservoir sedimentation results in ongoing loss of storage capacity all around the world. Thus, effective sediment management in reservoirs is becoming an increasingly important task requiring detailed process understanding. Computational fluid dynamics modelling can provide an efficient means to study relevant processes. An existing in-house hydrodynamic code has been extended to model particle-driven gravity currents. This has been realised through a buoyancy term which was added as a source term to the momentum equation. The model was successfully verified and validated using literature data of lock exchange experiments. In addition, the capability of the model to optimize venting of turbidity currents as an efficient sediment management strategy for reservoirs was tested. The results show that the concentration field during venting agrees well with observations from laboratory experiments documented in literature. The relevance of particle-driven gravity currents for the flow field in reservoirs is shown by comparing results of simulations with and without buoyant forces included into the model. The accuracy of the model in the area of the bottom outlet can possibly be improved through the implementation of a non-upwind scheme for the advection of velocity.
topic turbidity currents
sediment
reservoir
venting
computational fluid dynamics
url https://www.mdpi.com/2073-4441/12/5/1403
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