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Citation Information

How to Cite

If you use PyPSA-China (PIK) in your research, please cite:

Software Citation

@software{pypsa_china_pik,
  author = {{PIK RD3-ETL Team}},
  title = {PyPSA-China (PIK): An Open-Source Optimisation Model of the Chinese Energy System},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  url = {https://github.com/pik-piam/PyPSA-China-PIK},
  version = {1.3.2,
  doi = {10.5281/zenodo.XXXXXXX}  % Add Zenodo DOI when available
}

Original PyPSA-China Papers

This work builds upon previous PyPSA-China implementations. Please also cite the original papers:

Hydro-power study (Liu et al., 2019)

@article{liu2019hydro,
  title={The role of hydro power, storage and transmission in the decarbonization of the Chinese power system},
  author={Liu, Hailiang and Brown, Tom and Andresen, Gorm Bruun and Schlachtberger, David P and Greiner, Martin},
  journal={Applied Energy},
  volume={239},
  pages={1308--1321},
  year={2019},
  publisher={Elsevier},
  doi={10.1016/j.apenergy.2019.02.009}
}

Multi-energy system study (Zhou et al., 2022)

@article{zhou2022multienergy,
  title={Multi-energy system horizon planning: Early decarbonisation in China avoids stranded assets},
  author={Zhou, Xiaowei and Kober, Tom and McCollum, David and Chen, Shixiong and Luan, Haoran and van Vliet, Olivier},
  journal={IET Energy Systems Integration},
  volume={4},
  number={1},
  pages={123--139},
  year={2022},
  publisher={Wiley Online Library},
  doi={10.1049/ein2.12011}
}

PyPSA Framework

This model is built on the PyPSA framework:

@article{pypsa,
  title={PyPSA: Python for Power System Analysis},
  author={Brown, Tom and H{\"o}rsch, Jonas and Schlachtberger, David},
  journal={Journal of Open Research Software},
  volume={6},
  number={1},
  year={2018},
  publisher={Ubiquity Press},
  doi={10.5334/jors.188}
}

Zenodo DOI

A Zenodo DOI will be created for each major release to ensure long-term archival and citability. The DOI will be added here once available.

Acknowledgments

This work was developed by the PIK RD3-ETL team at the Potsdam Institute for Climate Impact Research (PIK).

The model is designed for coupling with the REMIND integrated assessment model.

License

PyPSA-China (PIK) is released under the MIT License. Please note that some data used by the model may have more restrictive licenses.

Questions About Citation

If you have questions about how to cite this work or need additional citation information, please:

  1. Check the CITATION.cff file in the repository
  2. Open an issue on GitHub
  3. Contact the maintainers

Related Projects

  • PyPSA - Python for Power System Analysis
  • PyPSA-EUR - Open optimisation model of the European transmission system
  • REMIND - Regional Model of Investment and Development