hydrogen-prospective-scenarios

Hydrogen Prospective Scenarios

Description

This datapackage implements technologies and market shares for future hydrogen production, on the basis on IEA projections (STEPS, APS and NZE scenarios), combined with the projections of global models such as REMIND.

Sourced from publication

Future environmental impacts of global hydrogen production. Shijie Wei, Romain Sacchi, Arnold Tukker, Sangwon Suh, and Bernhard Steubing. Energy Environ. Sci. (2024) doi:10.1039/D3EE03875K

Ecoinvent database compatibility

ecoinvent 3.9 cut-off

IAM scenario compatibility

The following coupling is done between IAM scenarios and the hydrogen market scenarios from the IEA:

IAM scenario	IEA scenario	Scenario
REMIND SSP2-NDC	SPS	Business As Usual
REMIND SSP2-PkBudg1150	APS	Ambitious
REMIND SSP1-PkBudg500	NZE	Very ambitious

More details on the mapping between the IAM variables and the IEA hydrogen scenarios are available in the mapping IAM-IEA.xlsx file, under others/hydrogen market.

What does this do?

Hydrogen

---

The following market is introduced for each region in the IAM scenarios:

• market for hydrogen, gaseous (IEA)

And the following technologies feed into it:

• Hydrogen, from coal gasification
• Hydrogen, from coal gasification, with CCS
• Hydrogen, from natural gas (SMR)
• Hydrogen, from natural gas (SMR), with CCS
• Hydrogen, from biomethane (SMR)
• Hydrogen, from biomethane (SMR), with CCS
• Hydrogen, from electrolysis (Alkaline)
• Hydrogen, from electrolysis (Proton Exchange Membrane)
• Hydrogen, from electrolysis (Solid Oxide)

Flow diagram

How to use it?

    import brightway2 as bw
    from premise import NewDatabase
    from datapackage import Package
    
    
    fp = r"filepath to datapackage.json"
    hydrogen = Package(fp)
    
    bw.projects.set_current("your_bw_project")
    
    ndb = NewDatabase(
            scenarios = [
                {"model":"image", "pathway":"SSP2-Base", "year":2050,},
                {"model":"image", "pathway":"SSP2-RCP19", "year":2030,},
            ],        
            source_db="ecoinvent 3.9.1 cutoff",
            source_version="3.9",
            key='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
            external_scenarios=[
                hydrogen, # <-- list datapackages here
            ] 
        )