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    <completedDate>2022-12-05</completedDate>
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    <title language="eng">Simulating Volatile Wind Energy: Stochastic Forward Modeling and Machine Learning</title>
    <abstract language="eng">The transformation of the energy sector is based on the integration of various renewable sources, such as wind and solar energy. One of the key challenges for the integration of these sources into the existing power grid is their erratic and sometimes discontinuous availability (volatility). Wind energy is one of the most relevant sources of CO2 neutral electric energy, but volatile due to fluctuating wind fields on multiple scales. This has already been realized so that senors provide real-time information on the scale of individual wind turbines. However, fore- casting remains an unresolved problem since numerical weather prediction models cannot provide the necessary level of detail. New modeling strategies are required that integrate turbine-scale and meso-scale information for accurate site-specific short-term prediction. Present and forthcoming research aims to incorporate fluctuations on multiple levels of fidelity, depending on the abstraction layer</abstract>
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      <firstName>Marten</firstName>
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      <lastName>Medina Méndez</lastName>
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      <firstName>Heiko</firstName>
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      <value>AI transfer</value>
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      <language>eng</language>
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      <language>eng</language>
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      <language>eng</language>
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    <title language="eng">Fractal roughness representation in a stochastic one-dimensional turbulence modeling approach</title>
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      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
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    <submitter>
      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
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      <firstName>Marten</firstName>
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  <doc>
    <id>37865</id>
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    <publishedYear>2026</publishedYear>
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    <title language="eng">Stochastic modeling of intermittent inflow turbulence in the atmospheric boundary layer</title>
    <abstract language="eng">Wind turbine predesign is challenged by the representation of site-specific wind conditions. A good deal of that challenge lies in the modeling of the inflow turbulence in the atmospheric boundary layer (ABL). A stochastic one-dimensional turbulence (ODT) model is applied to an idealized neutrally stratified ABL and evolves the instantaneous velocity profile with full-scale resolution. The model is able to reproduce the law of the wall consistently after an initial calibration with the surface drag law. Investigating turbulent time series of the horizontal velocity components it is demonstrated that the model generates physically justified intermittency features with increasing turbulence intensity.</abstract>
    <parentTitle language="eng">New Results in Numerical and Experimental Fluid Mechanics XV : contributions to the 24th STAB/DGLR Symposium, Regensburg, Germany, 2024</parentTitle>
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    <author>
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      <lastName>Dillmann</lastName>
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      <firstName>Marten</firstName>
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      <firstName>Christoph</firstName>
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      <lastName>Heller</lastName>
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      <firstName>Ewald</firstName>
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      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
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    <editor>
      <firstName>Christian</firstName>
      <lastName>Breitsamer</lastName>
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      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
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      <firstName>Claus</firstName>
      <lastName>Wagner</lastName>
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      <firstName>Lars</firstName>
      <lastName>Krenkel</lastName>
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      <value>Atmospheric boundary layer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Intermittency</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stochastic modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Turbulent inflow</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
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  <doc>
    <id>37864</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>737</pageFirst>
    <pageLast>747</pageLast>
    <pageNumber>11</pageNumber>
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    <publisherPlace>Cham</publisherPlace>
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    <completedDate>2026-03-02</completedDate>
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    <title language="eng">Revisiting near-wall modeling of fully developed turbulent flow in concentric annuli</title>
    <abstract language="eng">We report on a systematic study for Reynolds–Averaged Navier-Stokes (RANS) modeling and simulations of turbulent annular pipe flow. Several simulations were performed using the most readily-available RANS models in the open-source library OpenFOAM. A customized 1-D RANS solver was also developed for ease of analysis. The focus of the study is on the reproduction of the mean velocity profile, its maximum, and maximum radial location, as well as modeled low-order fluctuation statistics. The flow in the annular gap is characterized by a radius ratio of 0.1, and a friction Reynolds number equal to 600 that is based on a mean friction velocity. Deviations from the mean velocity profile are observed for all RANS models investigated when compared with Direct Numerical Simulation (DNS) reference data. The representation of the near-wall outer cylinder flow is better than that of the near-wall inner cylinder flow.</abstract>
    <parentTitle language="eng">New Results in Numerical and Experimental Fluid Mechanics XV : contributions to the 24th STAB/DGLR Symposium, Regensburg, Germany, 2024</parentTitle>
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    <author>
      <firstName>Nishidh Shailesh</firstName>
      <lastName>Naik Burye</lastName>
    </author>
    <editor>
      <firstName>Andreas</firstName>
      <lastName>Dillmann</lastName>
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    <submitter>
      <firstName>Marten</firstName>
      <lastName>Klein</lastName>
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      <firstName>Juan Alí</firstName>
      <lastName>Medina Méndez</lastName>
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      <firstName>Gerd</firstName>
      <lastName>Heller</lastName>
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      <firstName>Marten</firstName>
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      <firstName>Ewald</firstName>
      <lastName>Krämer</lastName>
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      <firstName>Heiko</firstName>
      <lastName>Schmidt</lastName>
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      <firstName>Christian</firstName>
      <lastName>Breitsamer</lastName>
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      <firstName>Claus</firstName>
      <lastName>Wagner</lastName>
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    <editor>
      <firstName>Lars</firstName>
      <lastName>Krenkel</lastName>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Annular pipe flow</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HRN and LRN wall model formulations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wall function</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reynolds-averaged Navier-Stokes (RANS) modeling</value>
    </subject>
    <collection role="institutes" number="3504">FG Numerische Strömungs- und Gasdynamik</collection>
    <collection role="institutes" number="7006">Energie-Innovationszentrum / Scientific Computing Lab</collection>
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