Analysis identifies critical cost drivers and potential reductions in carbon capture and storage, suggesting effective frameworks.
This paper provides a comprehensive analysis of the carbon capture and storage value chain, focusing on cost optimization strategies and frameworks for successful development. Through systematic evaluation of capture-transport-storage components, we identify critical cost drivers and demonstrate methodologies for economic optimization in early-stage project development. Carbon capture technologies constitute the primary cost component, accounting for 60-80% of total chain (IEA 2024), with post-combustion systems exhibiting energy penalties of 25-35% compared to 15-20% for advanced solvents (Environmental Science & Technology 2024). Transportation costs range from 0.25-55.82 euros per tonne depending on distance and flowrate, while storage costs demonstrate significant variability based on geological conditions and monitoring requirements (MDPI 2024). Cost optimization analysis confirms that cluster and hub models achieve 30-40% cost reductions compared to standalone facilities when maintaining utilization rates above 80% (World Economic Forum 2025). The Northern Lights and Porthos projects early implementation results provide encouraging indicators of successful multi-stakeholder collaboration approaches (Equinor. 2024; Port of Rotterdam. 2024). Digital cost estimation methodologies enable progressive accuracy improvement until final investment decision, supporting systematic project optimization throughout development phases.
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Pires et al. (2025) studied this question.
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