Reference number : GC-2017-Q4-01456, amendment number : , agreement type : G, recipient legal name : Piomelli, Ugo (Queen’s University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : This proposal addresses a problem of critical importance for the hydroelectric power industry, the development_x000D_
of accurate models for the prediction of the flow over rough surfaces, in turbulence far from equilibrium. Two_x000D_
cases will be considered: a separating flow in a curved duct, and the flow in a rough channel undergoing system_x000D_
rotation. We will use direct and large-eddy simulations (DNS and LES) of turbulence to validate the models_x000D_
for the Reynolds-Averaged Navier-Stokes equations that are commonly used in industry. Although the DNS_x000D_
and LES will be performed at Reynolds numbers lower than those in actual applications, the LES should be_x000D_
able to achieve the fully rough regime that allows to extend the simulation results to practical applications. The_x000D_
proposed research will benefit Canada in several ways: first, it will train one PhD student and one PDF in the_x000D_
computational sciences; secondly, it will generate fundamental knowledge on the physics of rough-wall_x000D_
boundary layers in the presence of swirl, curvature, system rotation and separation. Finally, it will develop_x000D_
prediction models that will benefit the power generation industry (and may be extended to other areas of_x000D_
application), and can potentially result in significant efficiency increases and financial savings., program purpose french : This proposal addresses a problem of critical importance for the hydroelectric power industry, the development_x000D_
of accurate models for the prediction of the flow over rough surfaces, in turbulence far from equilibrium. Two_x000D_
cases will be considered: a separating flow in a curved duct, and the flow in a rough channel undergoing system_x000D_
rotation. We will use direct and large-eddy simulations (DNS and LES) of turbulence to validate the models_x000D_
for the Reynolds-Averaged Navier-Stokes equations that are commonly used in industry. Although the DNS_x000D_
and LES will be performed at Reynolds numbers lower than those in actual applications, the LES should be_x000D_
able to achieve the fully rough regime that allows to extend the simulation results to practical applications. The_x000D_
proposed research will benefit Canada in several ways: first, it will train one PhD student and one PDF in the_x000D_
computational sciences; secondly, it will generate fundamental knowledge on the physics of rough-wall_x000D_
boundary layers in the presence of swirl, curvature, system rotation and separation. Finally, it will develop_x000D_
prediction models that will benefit the power generation industry (and may be extended to other areas of_x000D_
application), and can potentially result in significant efficiency increases and financial savings., agreement title english : Numerical simulation and modelling of non-equilibrium flows in hydro-power applications, agreement title french : Numerical simulation and modelling of non-equilibrium flows in hydro-power applications, agreement number : CRDPJ, agreement value : 246347.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2022-2023)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2022-2023)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada