Publikasjoner og ansvarsområder
Digital Twin: Values, Challenges and Enablers from a modelling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, bi...
Numerical assessment of RANS turbulence models for the development ofdata driven Reduced Order Models
Deep Reinforcement Learning for Path Following and Collision Avoidance
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.
The paper describes the ability of a high-resolution Computational Fluid Dynamics model to predict terrain-induced turbulence and wind shear close to the ground for aviation safety. The capabilities of the model are demonstrated by applying it to the Sandnessjøen Airport, Stokka, in Norway, an ...
Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel
Aerodynamic characteristic of a small scale wind turbine under the influence of an incoming uniform wind field is studied using k-ω Shear Stress Transport turbulence model. Firstly, the lift and drag characteristics of the blade section consisting of S826 airfoil is studied using 2D simulations at a...
High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test
We present, what to our best knowledge, is the most accurate numerical investigation of the wind tunnel tests carried out over a model wind turbine (known as NTNU Blind Test) at the Norwegian University of Sciences and Technology. We show numerical benchmarking of wake measurements against experimen...