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.
We have just released the first major version of premise.
Compared to 0.4.5, here are the some of the most notable changes:
- there's now a detailed documentation for premise.
- premise works with ecoinvent 3.8, cut-off.
- none of the original datasets in ecoinvent are deleted. This means that any inventories linking successfully with the original ecoinvent database will link with a premise-generated database.
- uncertainty information is removed from the database.
- premise reverts to using "Carbon dioxide, in air" and "Carbon dioxide, non-fossil" to model uptake and release of biogenic carbon dioxide. If you wish to account for those in the global warming indicator, you need to execute premise_gwp, which installs the necessary GWP LCIA methods.
- premise caches the extraction of the database and the import of the inventories the first time a database is created, skipping those steps for the next time.
- updates inventories for PV and natural gas.
- updates inventories for two-wheelers, cars, trucks and buses and creates region-specific fleet average vehicles (from REMIND or IMAGE fleet data). Activities using transport are relinked to these new vehicles.
- creates region-specific biomass markets that feed biomass to power plants, reflecting the share of biomass coming as forestry or agricultural residue.
- creates liquid and gaseous fuel markets, reflecting the share of biofuels, methanol and synfuels. Also it modifies the split between fossil and biogenic CO2 emissions in the activities feeding from the fuel market (based on the fuel mix).
https://premise.readthedocs.io/en/latest/
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.
- Python 3.9
- 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)
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.
The best way is to follow the examples from the Jupyter Notebook.
Do not hesitate to contact the development team at romain.sacchi@psi.ch or aloisdir@pik-potsdam.de.
See contributing.
BSD-3-Clause. Copyright 2020 Potsdam Institute for Climate Impact Research, Paul Scherrer Institut.