Modelling Gas Networks with Compressors: A port‐Hamiltonian Approach

ABSTRACT Transient gas network simulations can significantly assist in design and operational aspects of gas networks. Models used in these simulations require a detailed framework integrating various models of the network constituents ‐ pipes and compressor stations among others. In this context, the port‐Hamiltonian modelling framework provides an energy‐based modelling approach with a port‐based coupling mechanism. This study investigates developing compressor models in an integrated isothermal port‐Hamiltonian model for gas networks. Four different models of compressors are considered and their inclusion in a larger network model is detailed. A numerical implementation for a simple test case is provided to confirm the validity of the proposed model and to highlight their differences.

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Publication Details

Journal
PAMM
Published
2024-12-01
DOI
https://doi.org/10.1002/pamm.202400164
Citations
1
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Modelling Gas Networks with Compressors: A port‐Hamiltonian Approach

Ashwin S. Nayak, Thomas Bendokat, Peter Benner, Sara Grundel
1 citations
PAMM
Control and Stability of Dynamical Systems
0.33
article

Modelling Gas Networks with Compressors: A port‐Hamiltonian Approach

Ashwin S. Nayak, Thomas Bendokat, Peter Benner, Sara Grundel
article en
1 citations

Abstract

ABSTRACT Transient gas network simulations can significantly assist in design and operational aspects of gas networks. Models used in these simulations require a detailed framework integrating various models of the network constituents ‐ pipes and compressor stations among others. In this context, the port‐Hamiltonian modelling framework provides an energy‐based modelling approach with a port‐based coupling mechanism. This study investigates developing compressor models in an integrated isothermal port‐Hamiltonian model for gas networks. Four different models of compressors are considered and their inclusion in a larger network model is detailed. A numerical implementation for a simple test case is provided to confirm the validity of the proposed model and to highlight their differences.

PAMMVol. 24(4)
Max Planck Institute for Dynamics of Complex Technical Systems (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Affordable and clean energy
Openalex Percentile: Top 38%
Control and Stability of Dynamical Systems
0.33
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