rmnd-lca allows to align the life cycle inventories contained in the ecoinvent 3.5 cutoff database with the output results of the REMIND IAM, in order to produce life cycle inventories under future policy scenarios for any year between 2005 and 2150.
In the latest version, this includes:
- electricity generation: alignment of regional electricity production mixes as well as efficiencies for a number of electricity production technologies, including Carbon Capture and Storage technologies.
In upcoming versions, important sectors such as cement and steel will also be updated.
https://rmnd-lca.readthedocs.io/en/latest/
The objective is to produce life cycle inventories under future energy policies, by modifying the inventory database ecoinvent 3.5 to reflect projected energy policy trajectories.
- Python language interpreter 3.x
- Brightway2 library
- License for ecoinvent 3.5
- REMIND IAM output files ("xxx.mif" and "GAINS emission factors.csv") are not installed with this library. They need to be queried from Alois Dirnaichner aloisdir@pik-potsdam.de and placed together in a folder. If not specified otherwise, the library will look for them in its subdirectory "/data/Remind output files".
In a terminal, from Github:
pip install git+https://github.com/romainsacchi/rmnd-lca.git
will install the package and the required dependencies.
Alternatively, from Conda:
conda install -c romainsacchi/label/nightly rmnd-lca-dev
A preliminary requirement to the use this library is to have a brightway2 project created and opened, with the
ecoinvent 3.5 cutoff database registered, so that:
import brightway2 as bw
bw.projects.set_current('remind')
bw.databasesreturns
Databases dictionary with 2 object(s):
biosphere3
ecoinvent 3.5 cutoff
Then, for a chosen policy and year between 2005 and 2150, the following two lines will:
- extract the ecoinvent database, clean it, add additional inventories for carbon capture and storage,
- remove existing electricity markets and replace them by regional markets with a geographical scope and production mix defined by the REMIND model for that year,
- relink electricity consuming activities to the newly created electricity markets,
- update the efficiency of electricity-producing technologies, according to the projections given by REMIND
For example, here with the year 2011 and the policy "Business-as-usual":
ndb = NewDatabase({'BAU':2011}, 'ecoinvent 3.5 cutoff', 3.5)
ndb.update_electricity_to_remind_data()returns
Getting activity data
100%|█████████████████████████████████| 16022/16022 [00:00<00:00, 45140.97it/s]
Adding exchange data to activities
100%|███████████████████████████████| 544735/544735 [00:39<00:00, 13837.57it/s]
Filling out exchange data
100%|██████████████████████████████████| 16022/16022 [00:03<00:00, 5132.14it/s]
Set missing location of datasets to global scope.
Set missing location of production exchanges to scope of dataset.
Correct missing location of technosphere exchanges.
Remove empty exchanges.
Add Carma CCS inventories
Extracted 1 worksheets in 0.98 seconds
Add fossil carbon dioxide storage for CCS technologies.
Remove old electricity datasets
Create high voltage markets.
Create medium voltage markets.
Create low voltage markets.
Link activities to new electricity markets.
Rescale inventories and emissions for Coal IGCC
Rescale inventories and emissions for Coal IGCC CCS
Rescale inventories and emissions for Coal PC
Rescale inventories and emissions for Coal PC CCS
Rescale inventories and emissions for Coal CHP
Rescale inventories and emissions for Gas OC
Rescale inventories and emissions for Gas CC
Rescale inventories and emissions for Gas CHP
Rescale inventories and emissions for Gas CCS
Rescale inventories and emissions for Oil
Rescale inventories and emissions for Biomass CHP
Rescale inventories and emissions for Biomass IGCC CCS
Rescale inventories and emissions for Biomass IGCC
Note that, by default, the library will look for REMIND output files ("xxx.mif" files and "GAINS emission factors.csv") in the "data/Remind output files" subdirectory. If those are not located there, you need to specify the path to the correct directory, as such::
ndb = NewDatabase({'BAU':2011}, 'ecoinvent 3.5 cutoff', r"C:\Users\username\Documents\Remind output files")Once the process is completed, the resulting database is registered back into the current Brightway2 project:
ndb.write_db_to_brightway()returns
Write new database to Brightway2.
15223 datasets
540424 exchanges
0 unlinked exchanges
Writing activities to SQLite3 database:
Created database: ecoinvent_BAU_2011