This is a repository containing a scenario that implements the projections of the van der Meide et al., 2022 study for:

• cobalt.

It is meant to be used in premise in addition to a global IAM scenario, to provide refined projections for the future supply of cobalt on the global market.

This data package contains all the files necessary for premise to implement this scenario and create market-specific composition for cobalt (including supply from recycling channels).

van der Meide, M., Harpprecht, C., Northey, S., Yang, Y., & Steubing, B. (2022). Effects of the energy transition on environmental impacts of cobalt supply: A prospective life cycle assessment study on future supply of cobalt. Journal of Industrial Ecology, 1– 15. https://doi.org/10.1111/jiec.13258

ecoinvent 3.8 cut-off

The following coupling is done between IAM and the cobalt scenarios:

This external scenario update the ecoinvent global market for cobalt, according to the projections described in van der Meide et al., 2022.

Cobalt

The following market is introduced:

• market for cobalt (CP2050) (GLO)

It is supplied by six cobalt production pathways:

• cobalt from cobalt mining
• cobalt as a co-product from copper mining (ore extraction, processing and electrowinning)
• cobalt as a co-product from nickel mining
• cobalt as a co-product from zinc mining
• cobalt recovered from discarded batteries (hydro- and pyro-metallurgical processes)

This market is relinked to activities that consume metallic cobalt throughout the database, if any.

    import brightway2 as bw
    from premise import NewDatabase
    from datapackage import Package
    
    
    fp = r"https://raw.githubusercontent.com/premise-community-scenarios/cobalt-perspective-2050/main/datapackage.json"
    cobalt2050 = Package(fp)
    
    bw.projects.set_current("your_bw_project")
    
    ndb = NewDatabase(
            scenarios = [
                {"model":"image", "pathway":"SSP2-Base", "year":2050,},
                {"model":"image", "pathway":"SSP2-RCP26", "year":2030,},
            ],        
            source_db="ecoinvent 3.8 cutoff",
            source_version="3.8",
            key='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
            external_scenarios=[
                cobalt2050, # <-- list datapackages here
            ] 
        )
        
    ndb.update_external_scenario()