TY - JOUR
T1 - Tackling impurities in CCS pipelines
T2 - An optimization-based approach
AU - Laljee, Mohamed Mazhar
AU - AlHajaj, Ahmed
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/6
Y1 - 2025/6
N2 - 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.
AB - 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.
KW - Carbon capture and storage (CCS)
KW - CO impurities
KW - Cost-optimal design
KW - Equation of state
KW - Optimization model
KW - Pipeline transportation
UR - https://www.scopus.com/pages/publications/85217496648
U2 - 10.1016/j.cscee.2025.101142
DO - 10.1016/j.cscee.2025.101142
M3 - Article
AN - SCOPUS:85217496648
SN - 2666-0164
VL - 11
JO - Case Studies in Chemical and Environmental Engineering
JF - Case Studies in Chemical and Environmental Engineering
M1 - 101142
ER -
