PyPSA-China：An Open-Source Optimisation model of the Chinese Energy System

PyPSA-China (PIK) is a open-source model of the Chinese energy system covering electricity and heat. It co-optimizes dispatch and investments under user-set constraints, such as limits to environmental impacts, to minimize costs. The model works at provincial resolution and can simulate a full year at hourly resolution.

PIK version

This is the PIK implementation of the PyPSA-China power model, first published by Hailiang Liu et al for their study of hydro-power in china and extended by Xiaowei Zhou et al for their "Multi-energy system horizon planning: Early decarbonisation in China avoids stranded assets" paper. It is adapted from the Zhou version by the PIK RD3-ETL team, with the aim of coupling it to the REMIND integrated assessment model. A reference guide is available as part of the documentation.

Overview

PyPSA-China should be understood as a modelling worklow, using snakemake as workflow manager, around the PyPSA python power system analysis package. The workflow collects data, builds the power system network and plots the results. It is akin to its more mature sister project, PyPSA-EUR, from which it is derived.

Unlike PyPSA-EUR, which simplifies high resolution electricity grid data to a user-defined network size, the PyPSA-China network is currently fixed to one node per province (with a 340 node version in the works). This is in large part due to data availability issues.

The PyPSA can perform a number of different study types (investment decision, operational decisions, simulate AC power flows). Currently only capacity expansion problems are explicitly implemented in PyPSA-China.

The PyPSA-CHINA-PIK is currently under development. Please contact us if you intend to use it for publications.

Quick Links

• 📖 Documentation
• 📝 Changelog
• 🚀 Releases
• 🤝 Contributing Guide
• 📋 Release Guide (for maintainers)

License

The code is released under the MIT license, however some of the data used is more restrictive.

Documentation

The documentation can be found at https://pik-piam.github.io/PyPSA-China-PIK/

Getting started

Installation

An installation guide is provided at https://pik-piam.github.io/PyPSA-China-PIK/

Getting the data

You will need to enable data retrieval in the config

enable:
  build_cutout: false # if you want to build your own (requires ERA5 api access)
  retrieve_cutout: true # if you want to download the pre-computed one from zenodo
  retrieve_raster: true # get raster data

Some of the files are very large - expect a slow process!

• You can also download the data manually and copy it over to the correct folder. The source and target destinations are the input/output of the fetch_ rules in workflow/rules/fetch_data.smk
• PIK HPC users only you can also copy the data from other users

Usage

Detailed instructions in the documentation.

local execution

• local execution can be started (once the environment is activated) with snakemake
• to customize the options, create my_config.yaml and launch snakemake --configfile my_config.yaml`. Configuration options are summarised in the documentation.

Remote execution

This is relevant for slurm HPCs and other remotes with a submit job command

• The workflow can be launched with snakemake --profile config/compute_profile
• [PIK HPC users only] use snakemake --profile config/pik_hpc_profile
• If you are not running on the PIK hpc, you will need make a new profile for your machine under config/<compute_profile>/config.yaml