GasNetSim

GasNetSim is a simulation package designed for gas network steady-state simulation. It supports the steady-state natural gas network simulations with different gas mixture compositions, thus enabling accurate analysis of the impacts of hydrogen injection on the gas network.

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mention
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258 commits | Last commit 1 month ago

What GasNetSim can do for you

Python 3.9
License: MPL 2.0
DOI:10.1109/OSMSES54027.2022.9769148

GasNetSim

GasNetSim is a simulation package designed for gas network steady-state simulation.
It supports the steady-state natural gas network simulations with different gas mixture
compositions, thus enabling accurate analysis of the impacts of hydrogen injection on the gas network.
Moreover, users have the flexibility to modify this tool and implement their own desired
gas mixture modeling approaches.
Future work will be carried out to include gas storage units and to take into account
the dynamic behavior of the gas network so that short-term simulations can be performed.

Installation

Currently, it is only supported using source files. Using following commands to install the package in editable mode.

  • pip install -e .
  • pip install -r ./requirements.txt

License

The project is released under the terms of the MPL 2.0.

Dependencies

  • numpy>=1.19.2
  • matplotlib>=3.3.2
  • scipy>=1.5.2
  • pandas>=1.1.3
  • pytest>=6.2.5
  • fluids>=0.1.86
  • pint>=0.18
  • setuptools>=60.9.3
  • requests>=2.25.1
  • pyparsing~=3.0.7
  • cantera~=3.0.0
  • thermo~=0.2.23
  • tqdm>=4.64.1
  • seaborn>=0.12.2
  • networkx~=3.1

For the thermo package, the version used in this repo is 0.1.40. Because there are some changes
and new features included in the newer versions. The source files of the thermo package is directly
stored in this repo. It will be updated in the future.

Reporting Issues

To report a problem, you can open an
issue
in repository against a specific workflow. If the issue is sensitive in nature or
a security related issue, please do not report in the issue tracker but instead
email Yifei Lu.

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Keywords
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  • Jupyter Notebook 58%
  • Python 42%
License
  • MPL-2.0
</>Source code

Participating organisations

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Reference papers

Mentions

Contributors

YL
TP
Thiemo Pesch