Supplementary Dataset for Global Decarbonisation via CO₂ Capture and E-Fuels: A Multi-Scale Spatial Assessment with Case Studies in Nigeria, Kenya, and South Africa.

This dataset supports the study on the techno-economic and spatial assessment of CO₂ capture, e-fuel production, and carbon credit potential in Nigeria, Kenya, and South Africa. It provides the structured input data, methodological parameters, and processed results used to quantify national CO₂ capture availability, synthetic fuel production potential, and associated climate finance opportunities.

 

The dataset is organised into three appendices:

 

Contains all key techno-economic, environmental, and conversion parameters used in the analysis, including:

 

• CO₂ capture efficiencies for point sources and direct air capture (DAC)

• Retrofit fractions and DAC deployment assumptions

• Literature-based CO₂-to-fuel conversion factors

• Technology performance and process assumptions

• Carbon price assumptions used for estimating potential carbon credit revenues

Documents how production and financial potentials were calculated, including:

 

• Equations used to convert captured CO₂ into e-fuel production volumes

• Assumptions for allocating CO₂ across fuel pathways

• Scenario and sensitivity parameter definitions

• Method used to estimate potential carbon credit revenues from captured CO₂ under compliance and voluntary market price ranges

Provides country-level model outputs, including:

 

• Captured CO₂ by source type

• Upper-bound e-fuel production potentials

• Estimated carbon credit revenue ranges

This dataset enhances transparency and reproducibility while enabling further research on carbon capture utilisation, synthetic fuel supply chains, and climate finance mechanisms in emerging economies.