PyPSA-China-PIK: Workflows automated using snakemake for energy in China at provincial level

[irr-github]

Submitting Author: Name (@irr-github)
Package Name: PyPSA-China-PIK
One-Line Description of Package: Open-source model of the Chinese energy sector
Repository Link (if existing): https://github.com/pik-piam/PyPSA-China-PIK
EiC: TBD

---

Code of Conduct & Commitment to Maintain Package

• I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
• I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.

Description

• Include a brief paragraph describing what your package does:
  The package minimises the costs of supplying electricity and other energy carriers at each point in time and space for China. This is done under user-constraints, such as a carbon budget.

Community Partnerships

We partner with communities to support peer review with an additional layer of
checks that satisfy community requirements. If your package fits into an
existing community please check below:

• Astropy: My package adheres to Astropy community standards
• Pangeo: My package adheres to the Pangeo standards listed in the pyOpenSci peer review guidebook

Scope

• Please indicate which category or categories this package falls under:

  • Data retrieval
  • Data extraction
  • Data processing/munging
  • Data deposition
  • Data validation and testing
  • Data visualization
  • Workflow automation
  • Citation management and bibliometrics
  • Scientific software wrappers
  • Database interoperability

Domain Specific

• Geospatial
• Education

---

• Explain how and why the package falls under these categories (briefly, 1-2 sentences). For community partnerships, check also their specific guidelines as documented in the links above. Please note any areas you are unsure of:

• Who is the target audience and what are the scientific applications of this package?
  The audience is the energy system modeling community. Focus application is investigating challenges associated with decarbonising of the Chinese energy system.

• Are there other Python packages that accomplish similar things? If so, how does yours differ?
  PyPSA-earth is similar but is not China specific. This code is developed especially for China, comes with data and has several essential updates to improve realism for China.

• Any other questions or issues we should be aware of:
  The code is not a python package but a workflow, automated using snakemake. I wanted to know whether it would be considered by pyOpenSci

P.S. Have feedback/comments about our review process? Leave a comment here

[coatless]

Hi, thanks for the inquiry. Per the in-scope documentation, our submission process focuses on Python Packages that can generate or augment workflows; but, not workflow files themselves.

With this being said, something like the Remind-PyPSA-Copuling, would be reviewable.