Accelerating Transportation Decarbonization: The Strategic Role of Ethanol Blends and Regulatory Incentives

Paper: arXiv 2504.06278

Authors: Eliseo Curcio

Abstract

This study evaluates ethanol blending as a practical near-term strategy for significant transportation decarbonization in the United States. Despite rapid growth in electric vehicle adoption, gasoline is projected to remain dominant, with annual demand around 135 billion gallons by 2035, necessitating immediate complementary solutions. Analysis indicates ethanol use will notably expand, driven by regulatory incentives such as RFS Renewable Identification Numbers (RINs) and IRA tax credits (45V), leading to potential market penetration of E15 at about 25% and E85 also expanding substantially. Ethanol derived from waste achieves notably lower carbon intensity at approximately 58.34 gCO2e/MJ, substantially better than conventional gasoline (~92 gCO2e/MJ), providing clear environmental advantages. Economic assessments show robust investor returns and local economic growth driven by policy incentives, including Renewable Identification Numbers (RINs) and IRA tax credits (45V). Infrastructure analysis confirms manageable costs and feasible adjustments for widespread adoption of higher ethanol blends.

Complexity vs Empirical Score

• Math Complexity: 3.0/10
• Empirical Rigor: 5.5/10
• Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper uses standard forecasting models (SARIMAX) and GREET model estimates to analyze the economic and environmental impacts of ethanol blending in transportation. It is empirically focused with good practical data, but lacks advanced mathematical derivations or novel quantitative finance methodology.

Research Flowchart

  flowchart TD
    A["Research Goal: Evaluate Ethanol Blends & Policy for Near-Term US Transport Decarbonization"] --> B["Data Inputs: Gasoline Demand Forecasts, Fuel Carbon Intensity & Policy Incentives (RINs, IRA 45V)"]
    B --> C["Methodology: Economic, Environmental & Infrastructure Feasibility Modeling"]
    C --> D["Analysis: Carbon Intensity Comparison (Waste Ethanol ~58.34 vs Gasoline ~92 gCO2e/MJ)"]
    D --> E["Findings: High Market Penetration (E15 ~25% & E85 Expansion by 2035)"]
    D --> F["Outcomes: Significant Emissions Reductions, Manageable Costs & Robust Investor Returns"]