Inflow uncertainty quantification

Changes in the inflow conditions can largely impact flow and dispersion patterns in atmospheric boundary layer (ABL) simulations. The variability in the inflow conditions is a major aleatory uncertainty when predicting flows in the atmosphere, which can not be removed from the problem, and thus should be assessed adequately. To quantify the effect of inflow uncertainty on the simulation results we apply an approach based on three steps: 1) characterize the uncertain inflow parameters, i.

Large Eddy Simulations of the free convective boundary layer

In the last decades an increasing interest in offshore wind energy has been observed. The main reason for ’going offshore’ may be the higher and more constant wind resource at sea than on land, leading to a higher energy production per wind turbine. Nevertheless to properly install wind farms is necessary to study the offshore conditions of each possible location. The limited knowledge about offshore conditions, compared to onshore conditions, motivates the use of numerical methodologies to study the offshore boundary layer.

Large Eddy Simulations over Oklahoma City

The continuous increase in computational resources is enabling the application of high fidelity turbulence modeling approaches to atmospheric flow simulations. This section is dedicated to a large-eddy simulation study that we performed for Oklahoma City. We considered a unique dominant wind direction. The results are compared to the nominal RANS results and the field experiment data to determine the benefits and challenges of large eddy simulations for these complex flow problems.

3D city modelling for urban applications

The course focuses on applications based on semantic 3D city models. These applications will deal with urban energy modelling and urban micro-climate simulations. Urban energy modelling covers topics such as: bottom-up computation of energy demand at urban/district scale (having the building as the smallest unit), definition of refurbishment scenarios, impact of renewables, linking semantic 3D city models with energy dynamic simulation tools, coupling buildings with supply networks, etc. Urban micro-climate simulations covers topics such as: wind predictions, dispersion of air pollutants, prediction of urban heat island, etc.