Institute for Technology, Resource and Energy-efficient Engineering (TREE)

Modeling and Simulation

In the research field "Modeling and Simulation", methods are developed in order to be able to solve many current technical problems with computer support. Applications often arise from the other TREE research groups. This results in close cooperation between natural and engineering scientists and between experimentalists and simulators in the various fields of research.

A detailed overview of the equipment in the research field Modeling and Simulation can be found here.

Lattice-Boltzmann-Methode_Kanalströmung_2d.jpg (DE)

Tree_ModellbildungUndSimulation_Grafik_Simulationsaufteilung.png (DE)

Tree_ModellbildungUndSimulation_Grafik_Strukturoptimierung.png (DE)

Working groups

Due to the wide range of research areas, modelling and simulation is divided into the following working groups:

Computational Chemistry Working Group

Structural Analysis and Optimization Working Group

Lattice-Boltzmann-methods working group

Networks working group

Particle Simulation Working group

Current research projects

TRE3L - TREE-Energy Lab

eTa - efficient transportation alternatives

Completed research projects

Aeromat

Transdermal Therapeutisches System (Quelle: LTS Lohmann Therapie-Systeme AG) (DE)

MOTTSAL - Modellierung und Optimierung Transdermaler Therapeutischer Systeme (in German)

ReBauVES - resource optimised development of structural elements

EWave

SkaSim - Scalable HPC software for simulations in the chemical industry

Selected Publications

2020 | 2019 | 2017

2020

Gerd Steinebach, Oliver Kolb: Hydraulic modeling and energy view. In: Pirsing, Morsi (Eds.) Decision Support Systems for Water Supply Systems : Smart Water System to Improve the Operation of Water Supply Systems by Using Applied Mathematics. EMS Series in Industrial and Applied Mathematics Vol. 2, Berlin: European Mathematical Society Publishing House, 2020, S. 51-71
doi:10.4171/207-1/4 URL BibTeX | RIS

Gerd Steinebach, David Dreistadt, Patrick Hausmann, Tim Jax: Setup of simulation model and calibration. In: Pirsing, Morsi (Eds.) Decision Support Systems for Water Supply Systems : Smart Water System to Improve the Operation of Water Supply Systems by Using Applied Mathematics. EMS Series in Industrial and Applied Mathematics Vol. 2, Berlin: European Mathematical Society Publishing House, 2020, S. 129-146
doi:10.4171/207-1/7 URL BibTeX | RIS

Tim Jax: Network aggregation. In: Pirsing, Morsi (Eds.) Decision Support Systems for Water Supply Systems : Smart Water System to Improve the Operation of Water Supply Systems by Using Applied Mathematics. EMS Series in Industrial and Applied Mathematics Vol. 2, Berlin: European Mathematical Society Publishing House, 2020, S. 107-127
doi:10.4171/207-1/6 URL BibTeX | RIS

Patrick Hausmann: Demand forecast. In: Pirsing, Morsi (Eds.) Decision Support Systems for Water Supply Systems : Smart Water System to Improve the Operation of Water Supply Systems by Using Applied Mathematics. EMS Series in Industrial and Applied Mathematics Vol. 2, Berlin: European Mathematical Society Publishing House, 2020, S. 39-49
doi:10.4171/207-1/3 URL BibTeX | RIS

Karl N. Kirschner, Dirk Reith, Wolfgang Heiden: The performance of Dunning, Jensen, and Karlsruhe basis sets on computing relative energies and geometries. In: Soft Materials, 18(2-3), 2020, S. 200-214
doi:10.1080/1539445x.2020.1714656 BibTeX | RIS

Martin R. Schenk, Thorsten Köddermann, Karl N. Kirschner, Sandra Knauer, Dirk Reith: Molecular Dynamics in the Energy Sector: Experiment and Modeling of the CO2/CH4 Mixture. In: Journal of Chemical & Engineering Data, 65(3), 2020, S. 1117-1123
doi:10.1021/acs.jced.9b00503 BibTeX | RIS

2019

Dominik Wilde, Andreas Krämer, Knut Küllmer, Holger Foysi, Dirk Reith: Multistep Lattice Boltzmann Methods: Theory and Applications. In: International Journal for Numerical Methods in Fluids, 90(3), 2019, S. 156-169
doi:10.1002/fld.4716 BibTeX | RIS

2017

Tim Jax, Gerd Steinebach: Generalized ROW-type methods for solving semi-explicit DAEs of index-1. In: Journal of Computational and Applied Mathematics, Vol.316, 2017, S. 213-228
doi:10.1016/j.cam.2016.08.024 BibTeX | RIS