Releases: polca/premise
Releases · polca/premise
Fixes several errors
What's Changed
- The efficiency of lignite and oil power plants were incorrectly calculated because premise could not identify the fuel input.
- The Simapro files could no longer be imported in Simapro 9.5.
- Add conda-forge badge and update install instructions by @m-rossi in #94
New Contributors
Full Changelog: v.2.0.1...v.2.0.2
Fix issue with EN 1804
Three exchanges in the LCI of germanium caused a linking issue with ecoinvent EN 18504.
Major update
Changes with respect to 1.8.0
- Adds .write_db_to_olca(), which produces a slightly modified version of a Simapro CSV database file which can then be imported in OpenLCA. The use of the SimaPro_Import.csv mapping file must be selected.
- Marginal mixes were wrong because the average lifetime of the mix was calculated using the technology-specific lead time values instead of lifetime values.
- Fix issue with CCS in IMAGE scenarios
- Fix several issues with external scenarios
- Drops DAC efficiency improvement based on cumulated deployment.
- Improves documentation for consequential modelling.
- Code-breaking change: update function are now called like so .update(). For example, to update the electricity sector: .update("electricity"). To update all sectors: .update().
Fix issue with external scenarios
v.2.0.0.dev4 Update docs
Add H2 supply and fix external scenario implementation
Merge pull request #151 from B-Maes/master update doc consequential Really nice, thanks @B-Maes
Fix issue with interpolating years and external scenarios
What's Changed
Full Changelog: v.2.0.0.dev1...v.2.0.0.dev2
Fixes issue with marginal mix modeling.
Fix issue with marginal mix. Fix issue with losses dictionary.
v.2.0.0.dev0
Full Changelog: v.1.8.2.dev7...v.2.0.0.dev0
Fix issues with external scenarios building
Could not modify efficiency of datasets
Changed the order of preference for finding eligible suppliers (RoW and GLO placed before RER).
Fix issue with update_electricity() when consequential
The script was looking for non-existing technologies in the consequential database (e.g., CHPs).