Abstract
Carbon capture and storage (CCS) is crucial for carbon neutrality, requiring efficient CO2 transport through pipelines. This study introduces an efficient optimization-based model for designing cost-optimal pipelines with a compressor-pump assembly and intermediate boosters, considering impurities such as Argon, Methane, hydrogen and Nitrogen, which impact stream density, pressure drop, and levelized transport costs (LCOCT). Impurities reduce throughput by 3.6 % and increase compression energy by 11 % (from 100.11 to 111.14 kWh/ton CO₂), accounting for 30 % of CCS equivalent energy. A penalty scheme (e.g., US'84/ton CO₂ for 4 % N₂) offsets impurity costs, highlighting the need for impurity control in efficient CCS deployment.
| Original language | British English |
|---|---|
| Article number | 101142 |
| Journal | Case Studies in Chemical and Environmental Engineering |
| Volume | 11 |
| DOIs | |
| State | Published - Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Carbon capture and storage (CCS)
- CO impurities
- Cost-optimal design
- Equation of state
- Optimization model
- Pipeline transportation
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