Assesses carbon capture technologies for greenhouse gas reduction in Austria, indicating potential implications for climate strategy.
The integration of carbon dioxide into industrial production to support Austria’s 2030 and 2040 climate targets requires timely technological maturity and measurable greenhouse gas (GHG) reductions compared to conventional pathways. This study evaluates nine carbon capture and utilization (CCU) technologies for their applicability in national industrial and energy sectors. Harmonized life cycle assessment data are aligned with the national framework and recalculated using a unified functional unit of 1 kg CO 2 utilized, providing a consistent basis for comparison and evaluation of mitigation potentials. Based on predefined criteria for technology readiness and emission performance, four technologies are identified as compatible with Austria’s 2030 targets: direct hydrogenation to methanol, high gravity carbonation, carbonation of steel slag blocks, and Fischer-Tropsch synthesis using syngas from reversed water gas shift. By 2040, compatibility is limited to mineralization-based pathways, provided that biogenic CO 2 is utilized. A substitution-based assessment yields theoretical upper-bound GHG mitigation potentials of up to 42 Mt CO 2 e in 2030 and 23 Mt CO 2 e in 2040, assuming full substitution of conventional products. When key system constraints are considered, the achievable mitigation potential is reduced to approximately 2 Mt CO 2 e per year or less, highlighting both the relevance and the limitations of CCU as a component of Austria’s climate mitigation portfolio. • Harmonization of nine CCU technologies to assess compatibility with Austria’s climate targets. • Four CCU technologies meet Austria’s 2030 criteria, only carbonation remains viable by 2040. • Theoretical GHG mitigation potentials reach 42 Mt CO 2 e (2030) and 23 Mt CO 2 e (2040). • System constraints reduce achievable mitigation to approximately 2 Mt CO 2 e. • Electricity, hydrogen and raw material availability are key CCU bottlenecks.
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Knaak et al. (2026) studied this question.
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