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: Appendix A – Model Parameters 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 Appendix B – Methodological Notes 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 Appendix C – Results Tables (100% CO₂ Utilisation Case) 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.