GasMOR
Transient gas network simulation for gas transport networks is a current and active topic in industry and research alongside the green energy transition, as renewable energy sources are volatile by nature and demand many forecasting simulations accounting for uncertainties to ensure a safe and efficient supply of natural gas and increasingly also hydrogen.
Software
morgen -- Model Order Reduction for Gas and Energy Networks (Version 1.1), 2020.
https://github.com/mpimd-csc/morgen
References
Next-Gen Gas Network Simulation. In: Progress in Industrial Mathematics at ECMI 2021, pp. 107 - 113 (Eds. Ehrhardt, M.; Günther, M.). Springer, Cham, Switzerland (2022)
Model Order Reduction for Gas and Energy Networks. Journal of Mathematics in Industry 11, 13, 46 pages (2021)
Efficient Gas Network Simulations. In: German Success Stories in Industrial Mathematics, pp. 17 - 22 (Eds. Bock, H. G.; Küfer, K. H.; Maass, P.; Milde, A.; Schulz, V.). Springer International Publishing, Cham (2022)
MathEnergy – Mathematical Key Technologies for Evolving Energy Grids. In: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, pp. 233 - 262 (Eds. Göttlich, S.; Herty, M.; Milde, A.). Springer International Publishing, Cham (2021)
Index-Aware MOR for Gas Transport Networks. In: IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018, pp. 191 - 207 (Eds. Fehr, J.; Haasdonk, B.). Springer International Publishing, Cham (2020)
Index-Preserving Model Order Reduction for Differential-Algebraic Systems Arising in Gas Transport Networks. In: Progress in Industrial Mathematics at ECMI 2018, pp. 291 - 297 (Eds. Faragó, I.; Izsák, F.; Simon, P.) (2019)
Gas Network Benchmark Models. In: Applications of Differential-Algebraic Equations: Examples and Benchmarks, pp. 171 - 197 (Eds. Campbell, S.; Ilchmann, A.; Mehrmann, V.; Reis, T.). Springer International Publishing, Cham (2019)
A Direct Index 1 DAE Model of Gas Networks. In: Reduced-Order Modeling (ROM) for Simulation and Optimization, pp. 99 - 119 (Eds. Keiper, W.; Milde, A.; Volkwein, S.). Springer International Publishing, Cham (2018)
Numerical Aspects of Model Order Reduction for Gas Transportation Networks. In: Simulation-Driven Modeling and Optimization: ASDOM, Reykjavik, August 2014, pp. 1 - 28 (Eds. Koziel, S.; Leifsson, L.; Yang, X.-S.). Springer International Publishing, Cham (2016)
Efficient Simulation of Transient Gas Networks Using IMEX Integration Schemes and MOR Methods. In: 54th IEEE Conference on Decision and Control (CDC), pp. 4579 - 4584. 54th IEEE Conference on Decision and Control , Osaka, Japan, December 15, 2015 - December 18, 2015. (2015)
Model Order Reduction of Differential Algebraic Equations Arising from the Simulation of Gas Transport Networks. In: Progress in Differential-Algebraic Equations, Deskriptor 2013, pp. 183 - 205 (Eds. Schöps, S.; Bartel, A.; Günther, M.; ter Maten, E. J. W.; Müller, P. C.). Springer, Berlin (2014)
Computing Surrogates for Gas Network Simulation Using Model Order Reduction. In: Surrogate-Based Modeling and Optimization, pp. 189 - 212 (Eds. Koziel, S.; Leifsson, L.). Springer, New York (2013)