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.
Domaine:
climateenvironment and energygeospatialType de record:
dataset
Créateur:
AtuGadSho
Éditeur:
Hôte:
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.
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