emtd 0.2.0

This projects provides as slim Python wrapper to access the 'technology-data' data set / snakemake workflow, maintained by the PyPSA team.

Energy Modeling Technology Data

This tool provides a slim Python wrapper to access the "technology-data" data set / Snakemake workflow, maintained by the PyPSA team.

🚨 🚨 Please check the license of the technology-data repo, especially regarding the applicable licences of various input (and therefore output) data files. Additional info can be found starting at 74 and 87. Be aware that this wrapper can in no way guarantee that the data being pulled from the repository, or the way that is being processed, or the code retrieved from the repository, or any related information is in accordance with applicable licenses.

Getting Started

The following example assumes that you are using conda to create your environment, and poetry to manage your dependencies. Other ways should work in a similar fashion.

Create an environment (skip if adding to an existing one; choose whatever Python version you want to use), installing poetry (skip if using a global installation or if you are already using poetry), initializing your pyproject.toml (consider also using poetry new instead of poetry init when starting a project), and then add emtd to your dependencies.

(base) $ conda create -n yourenvname python=3.11 -y
(base) $ conda activate yourenvname

(yourenvname) $ pip install poetry
(yourenvname) $ poetry init
(yourenvname) $ poetry add emtd

Now you can run the following examplatory code:

from emtd import EMTD

# Use `./tmpdir` to store intermediate results.
data = EMTD(target_dir="tmpdir")

# Get all available technologies in 2030.
data.technologies(2030)

# Get all available parameters for the technology "solar" in 2030.
data.parameters(2030, "solar")

# Get the "lifetime" of "solar" in 2030.
res = data.get(2030, "solar", "lifetime")

# Try out:
res["value"]
res["unit"]
res["source"]

Reproducability

To make sure everyone using your code will get the same results from emtd, it is advised to fix the data set to a specific version. Consult the release page for available versions, then make sure to initialize using (e.g.):

data = EMTD(target_dir="tmpdir", version="v0.6.2")

Make sure to include the v in the version string. Passing "latest" will put you on the current latest version of the technology data repository. Be aware that this can change anytime, and the next time you initialize emtd, it will try to update.

Configuring the Snakemake workflow

To change parameters in the Snakemake workflow, pass a dict to EMTD:

data = EMTD(target_dir="tmpdir", params={"rate_inflation": 0.03})

This overwrites the defaults set by "technology-data", or adds to it if the respective setting is not specified there. Consult technology-data/config.yaml for the current settings or hints at what can be changed. Also, consult their documentation.

Common Errors

The current project's supported Python range (>=3.9,<4.0) is not compatible with some of the required packages Python requirement:
  - scipy requires Python <3.13,>=3.9, so it will not be satisfied for Python >=3.13,<4.0

This, or similar errors, can occur if the pyproject.toml (or similar) specifies a too broad range of Python versions, like:

[tool.poetry.dependencies]
python = "^3.9"

Changing that based on the proposed range (here <3.13,>=3.9 from scipy) to:

[tool.poetry.dependencies]
python = ">=3.9,<3.13"

will fix that.

---

subprocess.CalledProcessError: Command '['git', '-C', PosixPath('tmpdir'), 'pull']' returned non-zero exit status 1.

This error indicates an error during executing git pull. If you've previously used a target_dir = "tmpdir and pulled, e.g., version="v0.6.1", and are now using EMTD(target_dir="tmpdir") (without version), the pull will fail; make sure to stick to one version, or use a different target_dir for managing different versions.