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Featured researches published by Wided Medjroubi.


Journal of Physics: Conference Series | 2014

2D Numerical Investigation of the Laminar and Turbulent Flow Over Different Airfoils Using OpenFOAM

Hamid Rahimi; Wided Medjroubi; Bernhard Stoevesandt; Joachim Peinke

The aim of this work is to assess the prediction capabilities of the turbulence models and the transition model kkl-ω available in OpenFOAM and to achieve a database of airfoil aerodynamical characteristics. The airfoils chosen for the simulations are FX 79-W- 15A and NACA 63-430, which are widely used in wind turbines. The numerically obtained lift and drag coefficients are compared with available experimental results. A quantitative and qualitative study is conducted to determine the influence of meshing strategies, computational time step together with interpolation and temporal schemes. Two Reynolds Averaged Navier- Stokes models (RANS models) are used, which are the k-ω SST model by Menter and the kkl-ω model (which involves transition modeling) by Walters and Davor.


Journal of Physics: Conference Series | 2014

Aerodynamic Simulation of the MEXICO Rotor

Iván Herráez; Wided Medjroubi; Bernhard Stoevesandt; Joachim Peinke

CFD (Computational Fluid Dynamics) simulations are a very promising method for predicting the aerodynamic behavior of wind turbines in an inexpensive and accurate way. One of the major drawbacks of this method is the lack of validated models. As a consequence, the reliability of numerical results is often difficult to assess. The MEXICO project aimed at solving this problem by providing the project partners with high quality measurements of a 4.5 meters rotor diameter wind turbine operating under controlled conditions. The large measurement data-set allows the validation of all kind of aerodynamic models. This work summarizes our efforts for validating a CFD model based on the open source software OpenFoam. Both steady- state and time-accurate simulations have been performed with the Spalart-Allmaras turbulence model for several operating conditions. In this paper we will concentrate on axisymmetric inflow for 3 different wind speeds. The numerical results are compared with pressure distributions from several blade sections and PIV-flow data from the near wake region. In general, a reasonable agreement between measurements the and our simulations exists. Some discrepancies, which require further research, are also discussed.


Archive | 2017

Structure Analysis of the German Transmission Network Using the Open Source Model SciGRID

Carsten Matke; Wided Medjroubi; David Kleinhans; Sebastian Sager

High voltage transmission networks play a crucial role in the ongoing transformation from centralized power generation in conventional power plants to decentralized generation from renewable energy sources (RES). The rapid expansion of RES requires a structural rearrangement of the entire power system to ensure the current level of supply security. Scientific approaches to the characterization and improvement of power transmission networks, however, often lack the availability of reliable and appropriate data on the networks’ structure. Using SciGRID, which was recently released open source, we generate a topological grid model for Germany using open data provided by OpenStreetMap. Starting from this particular grid model we characterize the structure of the German transmission grid by means of graph-theoretical decomposition approaches to complexity reduction. Our procedure aims to identify key features and characteristics complementing the grid’s electrotechnical properties; it is for example used to characterize the SciGRID approach and validate the resulting models against other (potentially not open source) transmission network models. In addition, it paves the way for networks with reduced complexity, which might be beneficial in optimization problems addressing system design and operation.


arXiv: Data Analysis, Statistics and Probability | 2015

The Langevin Approach: A Simple Stochastic Method for Complex Phenomena

Nico Reinke; André Fuchs; Wided Medjroubi; Pedro G. Lind; Matthias Wächter; Joachim Peinke

We describe a simple stochastic method, so-called Langevin approach, which enables one to extract evolution equations of stochastic variables from a set of measurements. Our method is parameter free and it is based on the nonlinear Langevin equation. Moreover, it can be applied not only to processes in time, but also to processes in scale, given that the data available shows ergodicity. This chapter introduces the mathematical foundations of this Langevin approach and describes how to implement it numerically. In addition, we present an application of the method to a turbulent velocity field measured in laboratory, retrieving the corresponding energy cascade and comparing with the results from a computer fluid dynamics (CFD) simulation of that experiment. Finally, we describe extensions of the method for time series reconstruction and applications to other fields such as finance, medicine, geophysics and renewable energies.


Applied Energy | 2017

GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas

Alaa Alhamwi; Wided Medjroubi; Thomas Vogt; Carsten Agert


Energy Reports | 2017

Open data in power grid modelling : new approaches towards transparent grid models

Wided Medjroubi; Ulf Philipp Müller; Malte Scharf; Carsten Matke; David Kleinhans


Computers & Fluids | 2011

High-order numerical simulations of the flow around a heaving airfoil

Wided Medjroubi; Bernhard Stoevesandt; B. Carmo; Joachim Peinke


Progress in Computational Fluid Dynamics | 2016

Navier-Stokes-based predictions of the aerodynamic behaviour of stall regulated wind turbines using OpenFOAM

Hamid Rahimi; Wided Medjroubi; Bernhard Stoevesandt; Joachim Peinke


Applied Energy | 2018

Modelling urban energy requirements using open source data and models

Alaa Alhamwi; Wided Medjroubi; Thomas Vogt; Carsten Agert


Energy Procedia | 2017

OpenStreetMap data in modelling the urban energy infrastructure: a first assessment and analysis

Alaa Alhamwi; Wided Medjroubi; Thomas Vogt; Carsten Agert

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Alaa Alhamwi

University of Oldenburg

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Thomas Vogt

University of Oldenburg

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Hamid Rahimi

University of Oldenburg

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André Fuchs

University of Oldenburg

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