Data and Code for Comparative Emissions Forecasting of Ethanol Production and RAC Systems

This record contains the final research paper, Python forecasting model, CSV data tables, and generated figures for a global screening-level comparison of emissions from ethanol production, air-conditioning, refrigeration, and household cooling systems. The work compares CO2e emissions, electricity-based emissions, refrigerant leakage, and screening-level air-pollution indicators including SO2/SOx, NOx, VOC, and PM2.5. The package includes the final DOCX manuscript, EarthArXiv-ready PDF, reproducible Python code, generated charts, CSV outputs, README file, requirements file, license file, and citation metadata. This is a screening-level research model, not a regulatory emissions inventory. The SO2/SOx, NOx, VOC, and PM2.5 values are directional estimates based on transparent assumptions and should be replaced with region-specific or plant-specific data where available.