Numerical simulation and modelling of non-equilibrium flows in hydro-power applications

这一建议解决了一个对水力发电工业至关重要的问题，即开发精确的模型来预测粗糙表面上的流量，在远离平衡的湍流中。将考虑两种情况：弯曲管道中的分离流和经过系统旋转的粗糙通道中的流动。我们将使用湍流的直接和大涡模拟（DNS和LES）来验证工业中常用的reynolds - average Navier-Stokes方程的模型**。虽然DNS和LES将在低于实际应用的雷诺数下进行，但LES应该能够实现完全粗糙的状态，从而将模拟结果扩展到实际应用中。拟议的研究将在几个方面使加拿大受益：首先，它将在**计算科学方面培养一名博士生和一名PDF；其次，它将产生关于存在旋流、曲率、系统旋转和分离的粗糙壁边界层的物理基础知识。最后，它将开发**预测模型，这将有利于发电行业（并可能扩展到**应用的其他领域），并有可能显著提高效率和节省资金。

This proposal addresses a problem of critical importance for the hydroelectric power industry, the development**of accurate models for the prediction of the flow over rough surfaces, in turbulence far from equilibrium. Two**cases will be considered: a separating flow in a curved duct, and the flow in a rough channel undergoing system**rotation. We will use direct and large-eddy simulations (DNS and LES) of turbulence to validate the models**for the Reynolds-Averaged Navier-Stokes equations that are commonly used in industry. Although the DNS**and LES will be performed at Reynolds numbers lower than those in actual applications, the LES should be**able to achieve the fully rough regime that allows to extend the simulation results to practical applications. The**proposed research will benefit Canada in several ways: first, it will train one PhD student and one PDF in the**computational sciences; secondly, it will generate fundamental knowledge on the physics of rough-wall**boundary layers in the presence of swirl, curvature, system rotation and separation. Finally, it will develop**prediction models that will benefit the power generation industry (and may be extended to other areas of**application), and can potentially result in significant efficiency increases and financial savings.