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functions to acccount for the uncertainty of underspecified archetype emisssions scenarios in LCA

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ulcarchetype

ulcarchetype is a Python library that provides some simple tools to characterize the uncertainty due to archetype "underspecification" in life cycle assessment (i.e. when the "subcompartment" is not specified). It is meant to be used with the LCA software Brightway2.

Installation

Use the package manager pip to install ulcarchetype

pip install ulcarchetype

Usage

import brightway2 as bw
from ulcarchetype.utils import get_cf_info,minmax_archetype,cf_add_uncertainty

method = bw.methods.random()
cf_df = get_cf_info(method) # returns a dataframe with data on characterisation factors
minmax_archetype(cf_df) # returns a dataframe with data needed to define uncertain CFs
# or simply
cf_add_uncertainty(method) # returns a list of CFs taking into account archetype uncertainty

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

BSD 3-Clause License

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functions to acccount for the uncertainty of underspecified archetype emisssions scenarios in LCA

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