PyPSA-Earth-Sec: A Sector-Coupled Open Optimisation Model of the Global Energy System

Development Status: Version 0.0.1

Disclaimer: PyPSA-Earth-Sec is still under development.

The model currently covers one country, Morocco, in a simplistic representation with 4 nodes (simplistic). A prerequisite for a successful model run is built network generated by pypsa-earth. Currently, no real demand data is used for the country inspected, instead, we use dummy data that is either taken from a different country relying on the data used in pypsa-eur-sec or generated using heuristics.

The model now includes the following energy carriers: electricity, hydrogen, fossil gas and fossil oil* and includes carbon as gas emissions and feedstock for the synthesis of the carriers.

The demand sectors covered are: residential, industry, land transport, aviation and shipping.

The diagram below depicts one representative clustered node showing the combination of carriers and sectors covered in the model as well as the generation and conversion technologies included.

Installation

1. Open your terminal at a location where you want to install pypsa-earth-sec. Type the following in your terminal to download the package and the dependency (pypsa-earth) from GitHub:

    .../some/path/without/spaces % git clone https://github.com/pypsa-meets-earth/pypsa-earth.git
    .../some/path/without/spaces % git clone https://github.com/pypsa-meets-earth/pypsa-earth-sec.git

2. The python package requirements are curated in the envs/environment.yaml file. The environment can be installed using:

    .../some/path/without/spaces % cd pypsa-earth
    .../pypsa-earth % conda env create -f envs/environment.yaml

3. For running the optimization one has to install the solver. We can recommend the open source HiGHs solver which installation manual is given here.

4. To use jupyter lab (new jupyter notebooks) continue with the ipython kernel installation and test if your jupyter lab works:

    .../pypsa-earth % ipython kernel install --user --name=pypsa-earth

    .../pypsa-earth % jupyter lab

Test run on tutorial

• In the folder open a terminal/command window to be located at this path ~/pypsa-earth-sec/
• Activate the environment conda activate pypsa-earth
• Run a dryrun of the Snakemake workflow by typing simply in the terminal:

  snakemake -j 1 solve_all_networks -n

  Remove the -n to do a real run. Follow the tutorial of PyPSA-Eur 1 and 2 on YouTube to continue with an analysis.