LAPSE:2025.0031
Data
LAPSE:2025.0031
Digital Supplementary Material: Short-Cut Correlations for CO2 Capture Technologies in Small-Scale Applications
So-mang Kim, Joanne Kalbusch, Grégoire Léonard
January 31, 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 applica-tions remain largely overlooked in the literature. While CC cost is often used as a key perfor-mance indicator (KPI) for CC technologies, the lack of standardized cost estimation methods leads to inconsistencies, complicating comparisons, and hindering the deployment of CC sys-tems. 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 ap-proach 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 tech-no-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.
Keywords
Carbon Capture, Short-cut Correlations, Small-scale carbon capture, Technoeconomic Analysis
Suggested Citation
Kim SM, Kalbusch J, Léonard G. Digital Supplementary Material: Short-Cut Correlations for CO2 Capture Technologies in Small-Scale Applications. (2025). LAPSE:2025.0031
Author Affiliations
Kim SM: University of Liège
Kalbusch J: University of Liège
Léonard G: University of Liège
[Login] to see author email addresses.
Version Comments
Original Submission
Record Map
Data

LAPSE:2025.0031
This Record
Published Article

LAPSE:2025.0216
Short-Cut Correlations for CO2 Capt...
Download
Files
Jan 31, 2025
License
None Specified
 
Meta
Record Statistics
Record Views
470
Version History
[v1] (Original Submission)
Jan 31, 2025
 
Verified by curator on
Feb 4, 2025
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2025.0031
 
Record Owner
u234959
LAPSE Records Linking Here
Directly Related to This Work
Short-Cut Correlations for CO2 Capture Technologies in Small-Scale Applications