Next-Gen Gas Network Simulation
Christian Himpe, Sara Grundel, Peter Benner

TL;DR
This paper improves the 'morgen' platform for gas network simulation by enhancing its model, solver, and reduction components, enabling efficient handling of multiple-query tasks in energy network operations.
Contribution
It introduces enhancements to the 'morgen' platform's components, resulting in a more effective model-solver-reductor ensemble for gas network simulations.
Findings
Enhanced model, solver, and reductor components
Mathematically and numerically optimized ensemble
Improved efficiency for multiple-query tasks
Abstract
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.
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Taxonomy
TopicsIntegrated Energy Systems Optimization · Carbon Dioxide Capture Technologies · CO2 Sequestration and Geologic Interactions
