@misc{11934,
  abstract     = {{The application of hydrogen in order to store energy and as a vehicle fuel requires efficient and effective storage technologies. An alternative solution to cryogenic and high pressure tanks is the use of porous material and physisorption (carbons, metal organic frameworks) or chemisorption (hydrides) in the tank. Due to the heat of sorption the temperature and its distribution in the tank might vary significantly during charging and discharging, affecting the storage capacity. The flow of the hydrogen in the tank is described by the equation of mass conservation, the Navier-Stokes equations and the equation of energy conservation as implemented in a CFD code. In the conservation equation additional terms are implemented in order to account for the amount of hydrogen involved in the sorption and the corresponding heat of sorption. These result from the mass and energy balance for the hydrogen in a finite volume whereat the equilibrium is described by an appropriate sorption isotherm. The use of data driven models is often computationally more advantageous then physical models. Based on the physical adsorption model a data driven model is derived using different machine learning techniques. This model is implemented as source terms in the governing equations, leading to a computationally more advantageous formulation. Thus the distribution of temperature and concentration during charging and discharging of the tanks is computed and limiting phenomena are identified.}},
  author       = {{Klepp, Georg Heinrich and Filippi, Markus and Langer, Guido}},
  booktitle    = {{	 Advances in Computational Heat and Mass Transfer : Proceedings of the 14th International Conference on Computational Heat and Mass Transfer (ICCHMT 2023), 4-8 September, 2023, Düsseldorf, Germany, Volume 1 }},
  editor       = {{Benin, Ali Cemal and Bennacer, Rachid  and Mohamad, Abdulmajeed A.  and Ocłoń, Paweł  and Suh, Sang-Ho  and Taler, Jan }},
  location     = {{Düsseldorf}},
  pages        = {{480 -- 488}},
  publisher    = {{Springer}},
  title        = {{{Charging and Discharging of Hydrogen Sorption Tanks}}},
  doi          = {{10.1007/978-3-031-67241-5_43}},
  year         = {{2024}},
}

@misc{9256,
  abstract     = {{In order to increase mobility in rural areas and to support public transport, an autonomous monorail vehicle (MonoCab [1]) is developed, which is able to use old unused railroad tracks. A narrow design makes it possible for two vehicles to pass each other on one track in two-way traffic. A fully automated driving mode allows the vehicle to be ordered on demand via app.
Due to the design on only two wheels, monorail vehicles must be able to react quickly to environmental influences, such as wind, in order to prevent overturning. To avoid critical tilt angles during travel and ensure ride comfort, gyroscopic stabilizers and linear masses are used to hold the vehicle in the desired position in real time.

In this study, the vehicle behavior is investigated by determining flow coefficients when crosswind occurs. For this purpose, a guideline from the German railroad standard DIN EN 14067-6 is applied. This standard specifies a flow around the vehicle in 5-degree increments from 0 degrees to 50 degrees, followed by 10-degree increments to 90 degrees, to simulate crosswinds from different directions. The flow vector is calculated from the vehicle speed and the wind speed, taking into account the wind angle. In order to better detect occurring instabilities at the vehicle geometry, the simulation series is calculated with the transient solver pimpleFoam. These simulations are used to generate characteristic curves using calculated moment coefficients.

In addition, the pressure surge is examined, which occurs when two vehicles pass each other in oncoming traffic. This is achieved using the dynamic mesh solver overPimpleDyMFoam for overlaid meshes. Two opposing vehicles with projected track gauge spacing are defined with a linear motion function of maximum vehicle speed magnitude. During the passing of both vehicles at maximum speed, the forces and moments around the point of contact on the rail are recorded.}},
  author       = {{Langer, Guido and Klepp, Georg Heinrich}},
  booktitle    = {{10th OpenFOAM Conference}},
  location     = {{online}},
  title        = {{{CFD analysis of a monorail vehicle under the influence of crosswind and oncoming traffic}}},
  year         = {{2022}},
}

@misc{8098,
  author       = {{Klepp, Georg Heinrich and Langer, Guido}},
  location     = {{Berlin}},
  title        = {{{Monorail Flow Patterns and Vehicle Drag}}},
  year         = {{2021}},
}

@misc{8100,
  author       = {{Klepp, Georg Heinrich and Filippi, Markus and Langer, Guido}},
  location     = {{online}},
  title        = {{{Impinging Jet Flow and  Heat Transfer for  Industrial Drying Applications}}},
  year         = {{2021}},
}