Policy clarity is returning to renewable diesel and SAF, but clarity alone does not guarantee supply. As mandates tighten and compliance demand rises, the market’s focus is shifting from how much capacity exists to how much production can actually run, and where the marginal barrel will come from. 

In this webinar, Argus experts will unpack the latest Argus Biofuels Analytics Spotlight, which traces how finalised mandates in the US and near-complete RED III implementation in Europe align with surging demand. The session will look beyond headline capacity to assess utilisation, arbitrage corridors and the price signals needed to attract supply into a tightening market.



Key insights:

  • The utilisation gap
    • How policy changes, credit overhangs and trade flows impacted utilisation rates over the course of 2022-2025 in the US and Europe
  • Open arbitrage corridors
    • Which flows have stood open, why, and how is that set to change in the years ahead
  • 2026 and 2027 outlook
    • What a realistic production scenario means for 2026 & 2027
    • What capacity is set to come online, at what points in the year, and how does that sit with rising mandates in the US and Europe taking demand to levels not seen before

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Meet the speakers

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Alex Kauffmann

Alex Kauffmann is a Manager in the Argus Analytics team, working on short- and long-term market analysis and forecasts covering global biofuels and feedstock demand, supply, trade and prices, with a focus on European markets. He is the editor of the Argus Biofuels Analytics publication, covering a 10-year outlook for global biofuels markets. 

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Louis Springate

Louis Springate specialises in Biofuels and Low Carbon Fuel Markets. He co-authors the Argus Biofuels Outlook and Argus Biofuels Analytics, and works across all major global markets, with particular depth in regulatory frameworks such as the Renewable Energy Directive (REDIII), the US Renewable Fuel Standard (RFS), California’s Low Carbon Fuel Standard (LCFS) and Brazil's RenovaBio program (CBIOs). Louis has a strong technical and statistical background, with a keen interest in R, developing machine-led insights and constructing robust, data-driven price forecasting models to support high-stakes commercial decision-making.

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