Abstract
We explore the Tractability Index of Differential Algebraic Equations (DAEs) that emerge in the simulation of gas transport networks. Depending on the complexity of the network, systems of index 1 or index 2 can arise. It is then shown that these systems can be rewritten as Ordinary Differential Equations (ODEs). We furthermore apply Model Order Reduction (MOR) techniques such as Proper Orthogonal Decomposition (POD) to a network of moderate size and complexity and show that one can reduce the system size significantly.
Mathematics Subject Classification (2010) 65280
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References
Banagaaya, N., Schilders, W.: Simulation of electromagnetic descriptor models using projectors. J. Math. Ind. 3(1) (2013). doi:doi:10.1186/2190-5983-3-1. http://www.mathematicsinindustry.com/content/3/1/1
Barrault, M., Maday, Y., Nguyen, N.C., Patera, A.T.: An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations. C. R. Math. Acad. Sci. Paris 339(9), 667–672 (2004). doi:10.1016/j.crma.2004.08.006
Chaturantabut, S., Sorensen, D.C.: Nonlinear model reduction via discrete empirical interpolation. SIAM J. Sci. Comput. 32(5), 2737–2764 (2010). doi:10.1137/090766498
Ehrhardt, K., Steinbach, M.C.: Nonlinear optimization in gas networks. In: Bock, H., Phu, H., Kostina, E., Rannacher, R. (eds.) Modeling, Simulation and Optimization of Complex Processes, pp. 139–148. Springer, Berlin/New York (2005). http://www.springerlink.com/index/U8V7048500471185.pdf
Godsil, C., Royle, G.F.: Algebraic Graph Theory. Graduate Texts in Mathematics, vol. 207, chap. 8. Springer, New York (2001)
Grundel, S., Hornung, N., Klaassen, B., Benner, P., Clees, T.: Computing surrogates for gas network simulation using model order reduction. In: Koziel, S., Leifsson, L. (eds.) Surrogate-Based Modeling and Optimization, pp. 189–212. Springer, New York (2013). doi:10.1007/978-1-4614-7551-4_9
Herty, M., Mohring, J., Sachers, V.: A new model for gas flow in pipe networks. Math. Methods Appl. Sci. 33(7), 845–855 (2010). doi:10.1002/mma.1197
Hinze, M., Kunkel, M.: Discrete empirical interpolation in POD model order reduction of drift-diffusion equations in electrical networks. In: Michielsen, B., Poirier, J.R. (eds.) Scientific Computing in Electrical Engineering SCEE 2010. Mathematics in Industry, pp. 423–431. Springer, Berlin/Heidelberg (2012). doi:10.1007/978-3-642-22453-9_45
Kunisch, K., Volkwein, S.: Galerkin proper orthogonal decomposition methods for a general equation in fluid dynamics. SIAM J. Numer. Anal. 40(2), 492–515 (2002). doi:10.1137/S0036142900382612
Lamour, R., März, R., Tischendorf, C.: Differential Algebraic Equations: A Projector Based Analysis. Differential-Algebraic Equations Forum. Springer, Berlin/New York (2013)
LIWACOM Informationstechnik GmbH, Simone Research Group, Simone Software: Gleichungen und Methoden, Essen (2004)
Mehrmann, V.: Index concepts for differential-algebraic equations, TU, Berlin (2013, preprint)
Sirovich, L.: Turbulence and the dynamics of coherent structures, parts I–III. Q. Appl. Math. 45(3), 561–590 (1987)
Steinbach, M.C.: On PDE solution in transient optimization of gas networks. J. Comput. Appl. Math. 203(2), 345–361 (2007). doi:10.1016/j.cam.2006.04.018
Tischendorf, C.: Topological index calculation of DAEs in circuit simulation. Surv. Math. Ind. 8(3–4), 187–199 (1999)
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Grundel, S., Jansen, L., Hornung, N., Clees, T., Tischendorf, C., Benner, P. (2014). Model Order Reduction of Differential Algebraic Equations Arising from the Simulation of Gas Transport Networks. In: Schöps, S., Bartel, A., Günther, M., ter Maten, E., Müller, P. (eds) Progress in Differential-Algebraic Equations. Differential-Algebraic Equations Forum. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44926-4_9
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DOI: https://doi.org/10.1007/978-3-662-44926-4_9
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