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Parameter Studies for Energy Networks with Examples from Gas Transport

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Simulation-Driven Modeling and Optimization

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 153))

Abstract

The focus of this chapter is on methods for the analysis of parameter variations of energy networks and, in particular, long-distance gas transport networks including compressor stations. Gas transport is modeled by unsteady Eulerian flow of compressible, natural gas in pipeline distribution networks together with a gas law and equations describing temperature effects. Such problems can lead to large systems of nonlinear equations with constraints that are computationally expensive to solve by themselves, more so if parameter studies are conducted and the system has to be solved repeatedly. Metamodels will thus play a decisive role in the general workflows and practical examples discussed here.

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Author information

Authors and Affiliations

  1. Fraunhofer SCAI, Sankt Augustin, Germany

    Tanja Clees

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  1. Tanja Clees
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Correspondence to Tanja Clees .

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Editors and Affiliations

  1. Engin. Optimization & Modeling Cent, Reykjavik University, Reykjavik, Iceland

    Slawomir Koziel

  2. College of Engineering, Iowa State University, Ames, Iowa, USA

    Leifur Leifsson

  3. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

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Clees, T. (2016). Parameter Studies for Energy Networks with Examples from Gas Transport. In: Koziel, S., Leifsson, L., Yang, XS. (eds) Simulation-Driven Modeling and Optimization. Springer Proceedings in Mathematics & Statistics, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-319-27517-8_2

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