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Optimal Model Switching for Gas Flow in Pipe Networks

  • We consider model adaptivity for gas flow in pipeline networks. For each instant in time and for each pipe in the network a model for the gas flow is to be selected from a hierarchy of models in order to maximize a performance index that balances model accuracy and computational cost for a simulation of the entire network. This combinatorial problem involving partial differential equations is posed as an optimal switching control problem for abstract semilinear evolutions. We provide a theoretical and numerical framework for solving this problem using a two stage gradient descent approach based on switching time and mode insertion gradients. A numerical study demonstrates the practicability of the approach.

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Author:Fabian Rüffler, Volker Mehrmann, Falk Hante
Document Type:Article
Language:English
Date of Publication (online):2018/01/23
Date of first Publication:2018/01/29
Release Date:2018/01/29
Subprojects:A03
B03