TY - GEN A1 - Klein, Marten A1 - Medina Méndez, Juan Alí A1 - Schmidt, Heiko T1 - Modeling electrohydrodynamically enhanced drag in channel and pipe flows using one-dimensional turbulence T2 - Conference on Modelling Fluid Flow (CMFF’22) KW - stochastic modeling KW - one-dimensional turbulence KW - turbulent drag enhancement KW - electrohydrodynamic turbulence KW - multiphysical boundary layers Y1 - 2022 UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Klein_cmff22_abstract_EHDdrag.pdf UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Klein_cmff22_paper_submitted_EHDdrag.pdf UR - https://www.cmff.hu/pdf/FinalProgramme.pdf SP - 1 EP - 8 CY - Budapest, Hungary ER - TY - GEN A1 - Klein, Marten A1 - Medina Méndez, Juan Alí A1 - Schmidt, Heiko ED - Vad, Janos T1 - Modeling electrohydrodynamically enhanced drag in channel and pipe flows using One-Dimensional Turbulenc T2 - Proceedings of the Conference on Modelling Fluid Flow (CMFF’22) N2 - The joint modeling of flow hydrodynamics and electrokinetics is a relatively unexplored area of turbulent flow research. We address a lack of available models for electrohydrodynamic (EHD) turbulent flow utilizing a lower-order approach, the stochastic One-Dimensional Turbulence (ODT) model. ODT is constructed on the principles of the direct energy cascade of Navier–Stokes turbulence, with key emphasis on the accurate resolution of the small molecular transport scales within a notional line-of-sight. We investigate two canonical flow configurations to demonstrate the applicability of the model in the simulation of EHD flows. First, we investigate EHD effects in zero-pressure-gradient turbulent boundary layers by two-way coupled model application to plane Couette flow of a dilute electrolyte. Second, we apply the one-way coupled model to EHD-enhanced gas flow through a vertical pipe with an inner concentric electrode, where electric fields are generated by means of a corona discharge and the corresponding effect of a continuum ionic charge density field. KW - EHD turbulence KW - multiphysical boundary layers KW - one-dimensional turbulence KW - stochastic modeling KW - turbulent drag enhancement Y1 - 2022 UR - https://www.cmff.hu/pdf/CMFF22_Conference_Proceedings.pdf UR - https://www.cmff.hu/papers/CMFF22_Final_Paper_PDF_15.pdf SN - 978-963-421-881-4 SP - 82 EP - 91 PB - University of Technology and Economics, Department of Fluid Mechanics CY - Budapest, Hungary ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-García, Harvey ED - Kmiotek, M. ED - Kordos, A. T1 - CO2 methanation: on the modeling of reacting laminar flows in structured Ni/MgAl2O4 catalysts T2 - XXV Fluid Mechanics Conference, Rzeszów, Poland, 7-9 September 2022, Book of Abstracts Y1 - 2022 SN - 978-83-7934-590-8 SP - 98 EP - 100 PB - Publishing House of Rzeszów University of Technology CY - Rzeszów, Poland ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - Schmidt, Heiko A1 - Forooghi, Pourya A1 - Freire, Livia S. T1 - Parametric forcing for roughness in turbulent channel flows: reduced order modelling using One-Dimensional Turbulence T2 - EFMC14, 14th European Fluid Mechanics Conference, Athens, Greece, 13-16 September 2022, Book of Abstracts Y1 - 2022 UR - https://www.efmc14.org/EFMC14_ABSTRACT_BOOK.pdf SP - S. 67 ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - Bacher, Christian A1 - Schmidt, Heiko A1 - Riebel, Ulrich T1 - A dusty gas approach for electrostatic precipitation of monodisperse aerosols using One-Dimensional Turbulence T2 - 4th International Symposium on Multiscale Multiphase Process Engineering (MMPE) 2022, Berlin, Germany, 25-28 September 2022, Book of Abstracts Y1 - 2022 UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Medina_2022_4MMPE2022_Abstract-ODTESPDustyGas.pdf ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - Bacher, Christian A1 - Schmidt, Heiko A1 - Riebel, Ulrich T1 - A dusty gas approach for electrostatic precipitation of monodisperse aerosols using One-Dimensional Turbulence Y1 - 2022 UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Medina_2022_4MMPE_DustyGasODTESP_Poster.pdf ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - Bacher, Christian A1 - Riebel, Ulrich A1 - Schmidt, Heiko T1 - Electrohydrodynamically-enhanced drag in a vertical pipe-flow with a concentric electrode: A One-Dimensional Turbulence study T2 - European Journal of Mechanics. B,Fluids Y1 - 2022 UR - https://www.sciencedirect.com/science/article/pii/S0997754622000814 U6 - https://doi.org/10.1016/j.euromechflu.2022.05.008 SN - 1873-7390 SN - 0997-7546 VL - 95 SP - 240 EP - 251 ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - González-Castaño, Miriam A1 - Baena-Moreno, Francisco Manuel A1 - Arellano-García, Harvey T1 - CO2 methanation: on the modeling of reacting laminar flows in structured Ni/MgAl2O4 catalysts T2 - Journal of Physics: Conference Series Y1 - 2022 UR - https://iopscience.iop.org/article/10.1088/1742-6596/2367/1/012015 U6 - https://doi.org/10.1088/1742-6596/2367/1/012015 IS - 2367 PB - IOP Publishing ER - TY - GEN A1 - Medina Méndez, Juan Ali A1 - Schmidt, Heiko T1 - Towards the evaluation of heat and mass transfer in pipe flows with cocurrent falling films using One-Dimensional Turbulence T2 - 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics August 15-19, 2022 Aachen, Germany, Book of Abstracts Y1 - 2022 UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Medina_2022_GAMM.pdf PB - RWTH Aachen University CY - Aachen ER - TY - GEN A1 - Klein, Marten A1 - Medina Méndez, Juan Alí A1 - Schmidt, Heiko T1 - Simulating Volatile Wind Energy: Stochastic Forward Modeling and Machine Learning N2 - 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 KW - AI transfer KW - AI teaching KW - stochastic modeling KW - machine learning KW - wind energy KW - volatility modeling and prediction Y1 - 2022 UR - https://ai-science-atlas.innohub13.de/files/pdf/NSGSimulatingVolatileWindEnergyBTUpdf.pdf UR - https://www-docs.b-tu.de/fg-stroemungsmodellierung/public/Klein_poster_KI-Atlas22.pdf PB - Innovation Hub 13, TH Wildau CY - Wildau ER -