bw_timex: A Python Package for Time-Explicit Life Cycle Assessment
The Journal of Open Source Software, vol. 11, pp. 9621
Abstract
bw_timex is a Python package for time-explicit Life Cycle Assessment (LCA).Unlike conventional LCA, time-explicit LCA allows the quantification of environmental impacts of products and processes over time, considering their temporal distribution and evolution.As such, bw_timex enables simultaneously accounting for:• the timing of processes throughout the supply chain (e.g., end-of-life treatment occurs 20 years after production), • variable and/or evolving supply chains and technologies (e.g., increasing shares of renewable electricity or higher process efficiencies in the future), and • the timing of emissions (enabling dynamic characterization).To achieve this, bw_timex uses graph traversal to convolve process-relative temporal distributions through the supply chain.From the resulting timeline of technosphere exchanges, Life Cycle Inventories (LCIs) are automatically linked across time-specific background databases.The resulting time-explicit LCI reflects the current technology status within the product system at the actual time of each process.Moreover, bw_timex preserves the timing of emissions, enabling both dynamic and static Life Cycle Impact Assessment.
Authors 3
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Affiliation as printed
Institute of Technical Thermodynamics (LTT), RWTH Aachen University, Germany
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Leiden University · Flemish Institute for Technological Research
Affiliation as printed
Flemish Institute for Technology Research (VITO), EnergyVille, Belgium
Institute of Environmental Sciences (CML), Leiden University, The Netherlands
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Affiliation as printed
Technology Assessment Group, Laboratory for Energy Analysis, Center for Nuclear Engineering and Sciences & Center for Energy and Environmental Sciences, Paul Scherrer Institut (PSI), Villigen PSI, Switzerland
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