Here is now the full #MORGEN trilogy: 1. Model Order Reduction for Gas and Energy Networks: https://t.co/c4T3xI8qYc 2. Next-Gen Gas Network Simulation: https://t.co/BmLUVkRYoU 3. System Order Reduction for Gas and Energy Networks: https://t.co/03yuFYuGZb
For the mathematical details see our #OpenAccess @ecmiindmath article: **Model Order Reduction for Gas and Energy Networks** https://t.co/c4T3xI7T8E #MORGEN #MathEnergy
RT @modelreduction: Modeling, simulating and reducing gas networks: C. Himpe (@modelreduction), S. Grundel (@grundelsara), P. Benner (@peb…
Modeling, simulating and reducing gas networks: C. Himpe (@modelreduction), S. Grundel (@grundelsara), P. Benner (@pebe32): "Model Order Reduction for Gas and Energy Networks"; Journal of Mathematics in Industry 11: 13, 2021. https://t.co/c4T3xI7T8E #Ma
RT @modelreduction: "morgen" is the @maxplanckpress #MPIMagdeburg deliverable of the @BMWi_Bund #MathEnergy project. For the #Math of #Next…
"morgen" is the @maxplanckpress #MPIMagdeburg deliverable of the @BMWi_Bund #MathEnergy project. For the #Math of #NextGen gas grid #DigitalTwin s, see our preprint: https://t.co/BOFabudvfI by @gramian @grundelsara and @pebe32
RT @mathOCb: This https://t.co/Fbv3nSZYtW has been replaced. Links: https://t.co/iWpNVmswNL https://t.co/TtaDC520pz https://t.co/cVSOvoecAF…
RT @mathOCb: This https://t.co/Fbv3nSZYtW has been replaced. Links: https://t.co/iWpNVmswNL https://t.co/TtaDC520pz https://t.co/cVSOvoecAF…
RT @modelreduction: New and improved: **Model Order Reduction for Gas and Energy Networks** from @modelreduction & @grundelsara & @pebe32 ,…
RT @modelreduction: New and improved: **Model Order Reduction for Gas and Energy Networks** from @modelreduction & @grundelsara & @pebe32 ,…
New and improved: **Model Order Reduction for Gas and Energy Networks** from @modelreduction & @grundelsara & @pebe32 , now with port-Hamiltonian goodness: https://t.co/BOFabudvfI #GasMOR
This https://t.co/Fbv3nSZYtW has been replaced. Links: https://t.co/iWpNVmswNL https://t.co/TtaDC520pz https://t.co/cVSOvoecAF https://t.co/LB1dVTZTxl
C. Himpe, S. Grundel, P. Benner: **Model Order Reduction for Gas and Energy Networks**: https://t.co/BOFabudvfI #MathEnergy #MOR #natgas #gasnet #morgen https://t.co/K8y4VD8koV
networks, as well as the implementation of "morgen" and associated numerical experiments testing model reduction adapted to gas network models. [6/6 of https://t.co/oJRxsuOvHi]
modular testing of various combinations of models, solvers, and model reduction methods. In this work we present the theoretical background on systemic modeling and structured, data-driven, system-theoretic model reduction for gas [5/6 of https://t.co/oJRx
of hyperbolic partial differential equation, and model order reduction for nonlinear parametric systems. This research resulted in the "morgen" (Model Order Reduction for Gas and Energy Networks) software platform, which enables [4/6 of https://t.co/oJRxsu
transport, are a challenging application for model reduction algorithms. For this industrial application, we bring together the scientific computing topics of: mathematical modeling of gas transport networks, numerical simulation [3/6 of https://t.co/oJRx
and demand, has to be simulated ahead of time. This many-query task can be accelerated by model order reduction, yet, large-scale, nonlinear, parametric, hyperbolic partial differential (-algebraic) equation systems, modeling gas [2/6 of https://t.co/oJRxs
To counter the volatile nature of renewable energy sources, gas networks take a vital role. But, to ensure fulfillment of contracts under these new circumstances, a vast number of possible scenarios, incorporating uncertain supply [1/6 of https://t.co/oJRx
Christian Himpe, Sara Grundel, Peter Benner: Model Order Reduction for Gas and Energy Networks https://t.co/Fbv3nSZYtW https://t.co/CpkXggdsQy