LAPSE:2025.0216
Published Article

LAPSE:2025.0216
Short-Cut Correlations for CO2 Capture Technologies in Small-Scale Applications
October 13, 2025. Originally submitted on June 27, 2025
Abstract
The escalating urgency to address climate change has driven carbon capture (CC) technologies into the spotlight, particularly for large-scale emitters, which benefit from economies of scale. However, small-scale emitters account for a significant share of CO2 emissions, yet such applications remain largely overlooked in the literature. While CC cost is often used as a key performance indicator (KPI) for CC technologies, the lack of standardized cost estimation methods leads to inconsistencies, complicating comparisons, and hindering the deployment of CC systems. This study addresses these challenges by developing flexible short-cut correlations for selected CC technologies, providing estimates of the total equipment cost (TEC) and energy consumption specific to small-scale applications across various CO2 inlet concentrations (mol%) and capture scales (10 100 kt/y). The flexibility of the correlations enables the integration of various cost estimation methods available in the literature and case-specific assumptions (e.g., utility prices), enhancing their consistency and applicability across various scenarios. This approach provides decision-makers with a practical yet simple method for assessing the technical and economic viability of CC systems without conducting extensive simulations or detailed techno-economic assessments (TEAs). Ultimately, this work aims to improve the accessibility of CC technologies for small-scale industries, facilitating their broader application and contributing to the overall goal of reducing greenhouse gas emissions across various sectors.
The escalating urgency to address climate change has driven carbon capture (CC) technologies into the spotlight, particularly for large-scale emitters, which benefit from economies of scale. However, small-scale emitters account for a significant share of CO2 emissions, yet such applications remain largely overlooked in the literature. While CC cost is often used as a key performance indicator (KPI) for CC technologies, the lack of standardized cost estimation methods leads to inconsistencies, complicating comparisons, and hindering the deployment of CC systems. This study addresses these challenges by developing flexible short-cut correlations for selected CC technologies, providing estimates of the total equipment cost (TEC) and energy consumption specific to small-scale applications across various CO2 inlet concentrations (mol%) and capture scales (10 100 kt/y). The flexibility of the correlations enables the integration of various cost estimation methods available in the literature and case-specific assumptions (e.g., utility prices), enhancing their consistency and applicability across various scenarios. This approach provides decision-makers with a practical yet simple method for assessing the technical and economic viability of CC systems without conducting extensive simulations or detailed techno-economic assessments (TEAs). Ultimately, this work aims to improve the accessibility of CC technologies for small-scale industries, facilitating their broader application and contributing to the overall goal of reducing greenhouse gas emissions across various sectors.
Record ID
Keywords
Carbon Capture, Short-cut correlations, Small-scale capture, Technoeconomic Analysis
Subject
Suggested Citation
Kim SM, Kalbusch J, Léonard G. Short-Cut Correlations for CO2 Capture Technologies in Small-Scale Applications. Systems and Control Transactions 4:406-411 (2025) https://doi.org/10.69997/sct.115945
Author Affiliations
Kim SM: University of Liège, Department of Chemical Engineering, Liège, Belgium
Kalbusch J: University of Liège, Department of Chemical Engineering, Liège, Belgium
Léonard G: University of Liège, Department of Chemical Engineering, Liège, Belgium
Kalbusch J: University of Liège, Department of Chemical Engineering, Liège, Belgium
Léonard G: University of Liège, Department of Chemical Engineering, Liège, Belgium
Journal Name
Systems and Control Transactions
Volume
4
First Page
406
Last Page
411
Year
2025
Publication Date
2025-07-01
Version Comments
Added missing funding information
Other Meta
PII: 0406-0411-1754-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0216
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https://doi.org/10.69997/sct.115945
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LAPSE:2025.0031
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References Cited
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