The files summarise the results of the key e-fuels trading modelling for 2030, 2040 and 2050.		
		
		
Description of the 145 regions structure:		
	Regional structure.csv
		
Trading modelling results:		
Hydrogen	
	2030:	Hydrogen 2030.csv
	2040:	Hydrogen 2040.csv
	2050:	Hydrogen 2050.csv

Ammonia	
	2030:	Ammonia 2030.csv
	2040:	Ammonia 2040.csv
	2050:	Ammonia 2050v

Methane	
	2030:	SNG 2030.csv
	2040:	SNG 2040.csv
	2050:	SNG 2050.csv

Methanol	
	2030:	Methanol 2030.csv
	2040:	Methanol 2040.csv
	2050:	Methanol 2050.csv

FTL fuels	
	2030:	FTL 2030.csv
	2040:	FTL 2040.csv
	2050:	FTL 2050.csv
		
Modelling considers imports portfolio strategies limiting the share of the country in the imports mix depending to the risk class:		
Exporter Class 1	15 %	
Exporter Class 2	10 %	
Exporter Class 3	7 %	
Exporter Class 4	4 %	
Exporter Class 5	2 %	
Exporter Class 6	0 %	
The classes are defined based on Galimova et al. 2025 https://doi.org/10.1016/j.segy.2025.100200 		
		
E-fuels and e-chemicals demand values are based on Bogdanov et al. 2021 https://doi.org/10.1016/j.energy.2021.120467 		
		
In these modelling results, all regions are required to import at least 0.1% of their e-fuels demand from the global market to establish potential import costs, even when such imports are not economically feasible.		
