Gas network benchmark models

P Benner, S Grundel, C Himpe, C Huck… - … of Differential-Algebraic …, 2019 - Springer
The simulation of gas transportation networks becomes increasingly more important as its
use-cases broaden to more complex applications. Classically, the purpose of the gas …

Model order reduction for gas and energy networks

C Himpe, S Grundel, P Benner - Journal of Mathematics in Industry, 2021 - Springer
To counter the volatile nature of renewable energy sources, gas networks take a vital role.
But, to ensure fulfillment of contracts under these circumstances, a vast number of possible …

Efficient numerical methods for gas network modeling and simulation

Y Qiu, S Grundel, M Stoll, P Benner - arXiv preprint arXiv:1807.07142, 2018 - arxiv.org
We study the modeling and simulation of gas pipeline networks, with a focus on fast
numerical methods for the simulation of transient dynamics. The obtained mathematical …

Discretization of the wave equation on a metric graph

SA Avdonin, AS Mikhaylov, VS Mikhaylov… - arXiv preprint arXiv …, 2022 - arxiv.org
The question of what conditions should be set at the nodes of a discrete graph for the wave
equation with discrete time is investigated. The variational method for the derivation of these …

Coupling of compressible Euler equations

M Herty, S Müller, A Sikstel - Vietnam Journal of Mathematics, 2019 - Springer
The Riemann problem for coupled Euler equations is analysed. The coupling conditions at a
steady interface impose continuous pressure and temperature while momentum differs. The …

[PDF][PDF] Optimal Dirichlet control of partial differential equations on networks

M Stoll, M Winkler - Electronic Transactions on Numerical Analysis, 2021 - emis.de
Differential equations on metric graphs can describe many phenomena in the physical world
but also the spread of information on social media. To efficiently compute the optimal setup …

Index-aware MOR for gas transport networks

N Banagaaya, S Grundel, P Benner - … , May 22–25, 2018: MORCOS 2018, 2020 - Springer
We extend the index-aware model order reduction method (IMOR) to differential-algebraic
equations (DAEs) arising from gas transport networks, which have a tractability index of one …

A deep learning approach to solve forward differential problems on graphs

Y Zhao, ML Pasini - arXiv preprint arXiv:2210.03746, 2022 - arxiv.org
We propose a novel deep learning (DL) approach to solve one-dimensional non-linear
elliptic, parabolic, and hyperbolic problems on graphs. A system of physics-informed neural …

[PDF][PDF] Analysis and numerical methods for coupled hyperbolic conservation laws

A Sikstel - 2020 - scholar.archive.org
This thesis is devoted to the study of analytic properties of solutions to coupled conservation
laws and associated numerical methods. The focus is put on two particular problems:(i) a …

Model order reduction for gas and energy networks

H Christian, G Sara, P Benner - Journal of Mathematics in …, 2021 - search.proquest.com
To counter the volatile nature of renewable energy sources, gas networks take a vital role.
But, to ensure fulfillment of contracts under these circumstances, a vast number of possible …