Cost-effective solar-driven configurations for post-combustion carbon capture at Abadan Power Plant: MEA, DEA, and DGA absorption-based

In recent years, post-combustion carbon capture (PCC) has garnered attention as a strategy to mitigate industrial emissions, though conventional configurations often face high energy demands. This study used Aspen HYSYS v11 to simulate and optimize various PCC configurations to enhance energy efficiency and reduce costs. The analysis compared three common amines monoethanolamine (MEA), diethanolamine (DEA), and diglycolamine (DGA) with DGA demonstrating the most significant energy savings. Utility costs, including steam, were approximately $101.3 million annually for DGA, compared to $158 million for MEA and $127.4 million for DEA. Among the configurations, lean vapor compression (LVC), rich vapor compression (RVC), solvent split flow (SSF), and rich recycle solvent (RSR), when combined, achieved the highest reduction in energy use, leading to about 45% cost savings over conventional setups. Replacing steam from a power plant with solar energy for the reboiler in this configuration provided additional savings, requiring 1.1 km 2 of solar area with 13 h of storage to achieve lifetime savings of roughly $295 million. Furthermore, exergy analysis revealed a 34.4% efficiency gain with the optimized configuration. Notably, implementing DGA reduced annual carbon taxes from $18.7 million to $2.8 million, underscoring the economic and environmental advantages of this approach.

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Publication Details

Journal
Cleaner Engineering and Technology
Published
2024-11-19
DOI
https://doi.org/10.1016/j.clet.2024.100842
Citations
6
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
1.28
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article

Cost-effective solar-driven configurations for post-combustion carbon capture at Abadan Power Plant: MEA, DEA, and DGA absorption-based

Milad Hosseinpour, Mohsen Salimi, Majid Amidpour, Farzin Hosseinifard
6 citations
Cleaner Engineering and Technology
Carbon Dioxide Capture Technologies
1.28
article

Cost-effective solar-driven configurations for post-combustion carbon capture at Abadan Power Plant: MEA, DEA, and DGA absorption-based

Milad Hosseinpour, Mohsen Salimi, Majid Amidpour, Farzin Hosseinifard
article en
6 citations

Abstract

In recent years, post-combustion carbon capture (PCC) has garnered attention as a strategy to mitigate industrial emissions, though conventional configurations often face high energy demands. This study used Aspen HYSYS v11 to simulate and optimize various PCC configurations to enhance energy efficiency and reduce costs. The analysis compared three common amines monoethanolamine (MEA), diethanolamine (DEA), and diglycolamine (DGA) with DGA demonstrating the most significant energy savings. Utility costs, including steam, were approximately $101.3 million annually for DGA, compared to $158 million for MEA and $127.4 million for DEA. Among the configurations, lean vapor compression (LVC), rich vapor compression (RVC), solvent split flow (SSF), and rich recycle solvent (RSR), when combined, achieved the highest reduction in energy use, leading to about 45% cost savings over conventional setups. Replacing steam from a power plant with solar energy for the reboiler in this configuration provided additional savings, requiring 1.1 km 2 of solar area with 13 h of storage to achieve lifetime savings of roughly $295 million. Furthermore, exergy analysis revealed a 34.4% efficiency gain with the optimized configuration. Notably, implementing DGA reduced annual carbon taxes from $18.7 million to $2.8 million, underscoring the economic and environmental advantages of this approach.

Cleaner Engineering and TechnologyVol. 23
Niroo Research Institute (IR), K. N. Toosi University of Technology (IR)
Openalex Percentile: Top 22%
Carbon Dioxide Capture Technologies
1.28
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Cost-effective solar-driven configurations for post-combustion carbon capture at Abadan Power Plant: MEA, DEA, and DGA absorption-based — Milad Hosseinpour, Mohsen Salimi, et al. · Cleaner Engineering and Technology (2024) | TGRS Research Map | TGRS