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

Networks working group

The working group is concerned with the modelling and simulation of infrastructure networks. The main focus is on water, gas and electricity networks on different scales, which can range from a single household to supra-regional interconnected networks. With the help of computer experiments based on mathematical simulation, current issues of energy efficiency and supply security and thus contributions to energy system transformation can be provided.
Current research topics
  • Numerical methods for network simulation
  • Grid integration of weather-dependent energy generators: simulation of the system behaviour of PV diesel hybrid systems and PV hydrogen systems
  • Energy circuits Power-to-Gas-to-X
  • Hydrogen or methane, that is the question here!
  • Sector coupling
  • Energy 4.0: Digitization and energy system transformation

 

Arbeitsgruppe-Netzwerke_Energie4.0_Chart.png (DE)
Arbeitsgruppe-Netzwerke_BigData_Chart_2.png (DE)
Arbeitsgruppe-Netzwerke_Wasserstoff_Chart.png (DE)
Arbeitsgruppe_Netzwerke_Systemdesign_Workflow.png (DE)
Arbeitsgruppe_Netzwerke_Diagramm.png (DE)
Methods, competences and applications
  • Since 2013, the working group has been developing its own model chain for calculating the system behaviour of energy networks under variable weather-related boundary conditions. The focus is on the effects of variable solar energy generation. In particular, an atmospheric radiation transfer model (libradtran) has been coupled with a PV power model, which in turn provides input for the modelling of electricity and hydrogen networks. There is a license for INSEL (Integrated Simulation Environment Language, from the company Doppelintegral GmbH), which allows the simulation of weathering effects on smaller electrical and thermal networks with renewable energy producers.
  • In close cooperation with the Fraunhofer SCAI, the working group continues to deal with current questions concerning energy networks and contributes to the further development of the SCAI's multiphysical network simulator MYNTS. With the help of MYNTS, tasks from the areas of gas networks, heat/cold networks (water), electricity networks and sector coupling are being worked on. The know-how for analysing these networks ranges from big-data architectures, network reconstructions to approximation methods.
  • The mathematical modelling of network components is performed using partial and ordinary differential equations (PDEs and ODEs) as well as linear and non-linear algebraic equations. By suitable discretisations of the spatial derivatives of the PDEs, all equations can be combined to a large system of so-called differential algebraic equations (DAEs). In the working group efficient numerical methods for the solution of such DAEs are developed and applied in the network simulation software.

 

Laboratories

The simulations are validated using measurement data from the energy meteorological measuring station of the Bonn-Rhein-Sieg University of Applied Sciences in Sankt Augustin. Further measurement data are recorded in the "Energy 4.0 (Big Data Laboratory)" laboratory. Another laboratory, "Technologies of Energy Storage", is currently being set up in which various concepts of a complex energy system are tested and are supported and developed with the help of simulations.

Partners
Selected Publications
2023 | 2022 | 2021 | 2020 | 2018 | 2017 | 2012

2023

Gerd Steinebach: Construction of Rosenbrock–Wanner method Rodas5P and numerical benchmarks within the Julia Differential Equations package. In: BIT Numerical Mathematics, 63(2), 27, 2023
PDF Download (CC BY 4.0) doi:10.1007/s10543-023-00967-x urn:nbn:de:hbz:1044-opus-67772 BibTeX | RIS

2022

Jan Kleinert, Gerd Steinebach, Dirk Reith, Philipp Spelten, Martin Kliemank, Sandro Elsweijer, Philipp Rosauer, Martin Schenk, Florian Roßbach, Victor Lüddemann, Lea Krühler, Jasmin Breuer: Modellbildung-und-Simulation: Online Lehrbuch. Zenodo, 2022
doi:10.5281/zenodo.7343027 BibTeX | RIS

2021

Gerd Steinebach, David Michael Dreistadt: Water and Hydrogen Flow in Networks: Modelling and Numerical Solution by ROW Methods. In: Jax, Bartel et al. (Eds.): Rosenbrock–Wanner–Type Methods. Theory and Applications, Cham: Springer, 2021, S. 19-47
doi:10.1007/978-3-030-76810-2_2 BibTeX | RIS

2020

Gerd Steinebach: Improvement of Rosenbrock-Wanner Method RODASP: Enhanced Coefficient Set and MATLAB Implementation. In: Reis, Grundel et al. (Eds.): Progress in Differential-Algebraic Equations II. 9th Workshop on Descriptor Systems, March 17–20, 2019, Paderborn, Germany, 2020, S. 165-184
doi:10.1007/978-3-030-53905-4_6 BibTeX | RIS

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

2018

Tanja Clees, Igor Nikitin, Lialia Nikitina: Making Network Solvers Globally Convergent. In: Obaidat, Ören et al. (Eds.) Simulation and Modeling Methodologies, Technologies and Applications: SIMULTECH 2016 Lisbon, Portugal, July 29-31, 2016, Revised Selected Papers, Vol.676, 2018, S. 140-153
doi:10.1007/978-3-319-69832-8_9 BibTeX | RIS

Tanja Clees, Igor Nikitin, Lialia Nikitina, Lukasz Segiet: Modeling of Gas Compressors and Hierarchical Reduction for Globally Convergent Stationary Network Solvers. In: International Journal on Advances in Systems and Measurements, 11(1-2), 2018, S. 61-71
URL BibTeX | RIS

Anton Baldin, Kläre Cassirer, Tanja Clees, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina, Inna Torgovitskaia: Universal Translation Algorithm for Formulation of Transport Network Problems. In: Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Volume 1: SIMULTECH, 2018, Porto, Portugal, 2018, S. 315-322
doi:10.5220/0006831903150322 BibTeX | RIS

2017

Gerd Steinebach: From River Rhine Alarm Model to Water Supply Network Simulation by the Method of Lines. In: Russo, Capasso et al. (Eds.): Progress in Industrial Mathematics at ECMI 2014. Mathematics in Industry, Vol 22, 2017, S. 783-792
doi:10.1007/978-3-319-23413-7_109 BibTeX | RIS

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

2012

Gerd Steinebach, Rüdiger Weiner: Peer methods for the one-dimensional shallow-water equations with CWENO space discretization. In: Applied Numerical Mathematics, 62(10), 2012, S. 1567-1578
doi:10.1016/j.apnum.2012.06.009 BibTeX | RIS

Gerd Steinebach, Roland Rosen, Annelie Sohr: Modeling and Numerical Simulation of Pipe Flow Problems in Water Supply Systems. In: Martin, Klamroth et al. (Eds.): Mathematical Optimization of Water Networks. International Series of Numerical Mathematics, Vol. 162, Basel: Birkhäuser, 2012, S. 3-15
doi:10.1007/978-3-0348-0436-3_1 BibTeX | RIS