Recent Releases of timex_lca
timex_lca - v0.3.0
- Renamed various variables. The main user-facing API change is database_date_dict -> database_dates. Others are mainly internal, see https://github.com/brightway-lca/bw_timex/commit/991943cd0ea9c0185baace3b84c75abd46b4bd59 and https://github.com/brightway-lca/bw_timex/commit/554a67cc7796264be888840c1c9431f64952fd66.
- Added a function to disaggregate the background LCI. This means that the aggregated biosphere flows of the upstream supply chains of temporal markets are distributed back to the original producers from the background database.
- Various speed improvements
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 3 months ago
timex_lca - v0.2.3
- Modified the date rounding behavior: Instead of always rounding off the dates in the timeline (using the resolution specified in temporal_grouping), we now round to the nearest year/month/day/hour (depending on temporal_grouping).
- Fixed interface to dynamic_characterization (see https://github.com/brightway-lca/dynamic_characterization/releases/tag/v1.0.0) and pinned version to >=1.0.0.
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 7 months ago
timex_lca - v0.2.2
- Added optional
starting_datetimeargument toTimexLCA.build_timelineexplicitly. Before, it was buried in *args, which were passed to the underlying graph traversal (https://github.com/brightway-lca/bw_timex/pull/93) - Allow multiple calls of
build_timelineusing the sameTimexLCAobject, e.g., using differentstarting_datetime(https://github.com/brightway-lca/bw_timex/pull/94) - Fixed unintuitive rounding down of timestamps in dynamic characterization. 2024-12-31 would have been rounded to 2024, whereas 2025 makes more sense here. Now we round to the nearest year (https://github.com/brightway-lca/bw_timex/commit/21fa55bbcafee196447840c6518b5fee49fb6660)
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 7 months ago
timex_lca - v0.2.0
- Added utility function
utils.add_temporal_distribution_to_exchange()for easier temporalization of existing models - Added more clarifying docstrings, created a "Getting Started" section in the docs as well as a
getting_started.ipynb. Also overhauled existing example notebooks. - Changed naming of the different score attributes to be more clear and turned them into a @property:
TimexLCA.base_score:=TimexLCA.static_lca.score(no time-explicit information)TimexLCA.static_score:=TimexLCA.lca.score(time-explicit LCI w/ static characterization)TimexLCA.dynamic_score:=TimexLCA.characterized_inventory["amount"].sum()(time-explicit LCI w/ dynamic characterization, summed overall score)
- Fixed amounts for negative production amounts #83
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 8 months ago
timex_lca - v0.1.9
- Allow absolute temporal distributions (https://github.com/brightway-lca/bw_timex/pull/81)
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 9 months ago
timex_lca - v0.1.8
- Moved dynamic characterization functionality completely to dynamic_characterization. In the course of this, dynamic characterization was updated and it's much faster now. See also https://github.com/brightway-lca/dynamic_characterization/pull/3
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 10 months ago
timex_lca - v0.1.5
- Refactored dynamic characterization to separate package dynamic_characterization
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 10 months ago
timex_lca - v0.1.2
Update to match Bugfix in bw_temporalis v1.1: static_activity_indices are database IDs instead of matrix IDs
Industrial Ecology - Life Cycle Assessment
- Jupyter Notebook
Published by TimoDiepers 11 months ago