Blog
About

  • Record: found
  • Abstract: found
  • Poster: found
Is Open Access

Parametric Model Order Reduction for Gas Flow Models

1, 1,  1,*

ScienceOpen Posters

ScienceOpen

pMOR, Gas Transport, Empirical Gramians, DMD, POD

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      Planning the dispatch of contracted gas denominations requires various simulations of the involved gas transport infrastructure. Furthermore, due to the growing interplay of traditional gas transport and fluctuating demands related to renewable energies, the number of necessary simulations vastly increases. Mathematically, a system of Euler equations, which are coupled according to the underlying gas network topology, embodies the associated nonlinear and hyperbolic model. Repeated simulation of large networks for varying supply and demand scenarios often necessitates model order reduction. Yet, beyond these variable boundary conditions, further attributes of the network may be uncertain or need to be kept variable throughout simulations, which motivates parametric model order reduction (pMOR).

      Related collections

      Author and article information

      Affiliations
      [1]Max Planck Institute for Dynamics of Complex Technical Systems
      [*]Correspondence: himpe@123456mpi-magdeburg.mpg.de, Link to ScienceOpen Profile
      Journal
      ScienceOpen Posters
      ScienceOpen
      27 April 2018
      10.14293/P2199-8442.1.SOP-MATH.EJOCET.v1
      Copyright © 2018

      This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

      ScienceOpen disciplines:
      Keywords:

      Comments

      Comment on this article