Next-Gen Gas Network Simulation
Himpe, Christian; Grundel, Sara; Benner, Peter
Research article (book contribution) | Peer reviewedAbstract
To overcome many-query optimization, control, or uncertainty quantification work loads in reliable gas and energy network operations, model order reduction is the mathematical technology of choice. To this end, we enhance the model, solver and reductor components of the morgen platform, introduced in Himpe et al. [J. Math. Ind. 11:13, 2021], and conclude with a mathematically, numerically and computationally favorable model-solver-reductor ensemble.
Details about the publication
Publisher: Ehrhardt, Matthias; Günther, Michael
Book title: Progress in Industrial Mathematics at ECMI 2021
Page range: 107-113
Article number: 15
Publishing company: Springer
Place of publication: Cham
Title of series: Mathematics in Industry
Volume of series: 39
Status: Published
Release year: 2022
Language in which the publication is written: English
ISBN: 978-3-031-11818-0
Link to the full text: https://link.springer.com/content/pdf/10.1007/978-3-031-11818-0_15.pdf
Keywords: Model Reduction; Gas Networks
Authors from the University of Münster
| Himpe, Christian | Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger) |