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Model Order Reduction via a Balanced Truncation-Interpolation Approach for Gas Networks
[dataset]
2016
MoRePaS 2015 - Model Reduction of Parametrized Systems III
unpublished
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Motivation Simulation of large instationary gas networks governed by temperature-(T -)parametric nonlinear PDAEs is computationally expensive and extremely time-demanding. To reduce the computational effort and enable optimization and control, we present a parametric surrogate modeling technique composed of linearization, model order reduction (MOR) via balanced truncation (BT) and matrix interpolation strategy based on the energy modal assurance tracking (EMAT-MIS).
doi:10.14293/p2199-8442.1.sop-math.ppc79u.v1
fatcat:qvw4deodgfbrdilbni2zapz4iy