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premise

PRospective EnvironMental Impact AsSEssment

Coupling the ecoinvent database with projections from Integrated Assessment Models (IAM)

Previously named rmnd-lca. rmnd-lca was designed to work with the IAM model REMIND only. As it now evolves towards a more IAM-neutral approach, a change of name was considered.

Scientific publication available here: Sacchi et al, 2022.

What's new in 1.8.0?

  • Added support for brightway 2.5
  • Added support for Python 3.11
  • Uses bw2io 0.8.10
  • Adds electricity storage in electricity markets -- see docs
  • Adds scenario explorer dashboard

What's new in 1.5.0?

  • Added support for ecoinvent 3.9 and 3.9.1
  • Added support for ecoinvent 3.8 and 3.9/3.9.1 consequential -- see docs
  • Added REMIND SSP1 and SSP5 scenarios -- see docs
  • Updated GAINS emission factors, using GAINS-EU and GAINS-IAM -- see docs
  • Added new inventories for DAC and DACCS -- see docs
  • Added new inventories for EPR and SMR nuclear reactors -- see EPR inventories and SMR inventories
  • Made mapping to new IAM models easier -- see docs
  • Better logging of changes made to the ecoinvent database -- see docs

What's new in 1.3.0?

  • Added support for user-generated scenarios (see docs and notebook)
  • Updated REMIND scenarios to REMIND v.3.0

Documentation

https://premise.readthedocs.io/en/latest/

Objective

The objective is to produce life cycle inventories under future energy policies, by modifying the inventory database ecoinvent 3 to reflect projected energy policy trajectories.

Requirements

  • Python 3.9, 3.10 or 3.11
  • License for ecoinvent 3
  • Some IAM output files come with the library and are located by default in the subdirectory "/data/iam_output_files". If you wish to use those files, you need to request (by email) an encryption key from the developers. A file path can be specified to fetch IAM output files elsewhere on your computer.
  • brightway2 (optional)

How to install this package?

Two options:

A development version with the latest advancements (but with the risks of unseen bugs), is available from Anaconda Cloud:

conda install -c romainsacchi premise

For a more stable and proven version, from Pypi:

pip install premise

will install the package and the required dependencies.

How to use it?

The best way is to follow the examples from the Jupyter Notebook.

Support

Do not hesitate to contact [email protected].

Contributors

Maintainers

Contributing

See contributing.

References

License

BSD-3-Clause. Copyright 2020 Potsdam Institute for Climate Impact Research, Paul Scherrer Institut.

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