LAPSE:2024.1587
Published Article

LAPSE:2024.1587
Economic Optimization and Impact of Utility Costs on the Optimal Design of Piperazine-Based Carbon Capture
August 16, 2024. Originally submitted on July 9, 2024
Abstract
Recent advances in process design for solvent-based, post-combustion capture (PCC) processes, such as the Piperazine/Advanced Flash Stripper (PZ/AFS) process, have led to a reduction in the energy required for capture. Even though PCC processes are progressively improving in Technology Readiness Levels (TRL), with a few commercial installations, incorporating carbon capture adds cost to any operation. Hence, cost reduction will be instrumental for proliferation. The aim of this work is to improve process economics through optimization and to identify the parameters in our economic model that have the greatest impact on total cost to build and operate these systems. To that end, we investigated changes to the optimal solution and the corresponding cost of capture considering changes in the price of utilities and solvent. We found that changes in solvent price had the most effect on the cost of capture. However, re-optimizing the designs in the event of price changes did not lead to significant improvements in the case of piperazine, cooling water and electricity, whereas re-optimizing for changes in steam prices lead to yearly saving of 3.8%. These findings show that the design choices obtained at the nominal optimal solution are insensitive to utility price changes except for the case of steam and that there is a need for altered designs for locations where the steam prices are different.
Recent advances in process design for solvent-based, post-combustion capture (PCC) processes, such as the Piperazine/Advanced Flash Stripper (PZ/AFS) process, have led to a reduction in the energy required for capture. Even though PCC processes are progressively improving in Technology Readiness Levels (TRL), with a few commercial installations, incorporating carbon capture adds cost to any operation. Hence, cost reduction will be instrumental for proliferation. The aim of this work is to improve process economics through optimization and to identify the parameters in our economic model that have the greatest impact on total cost to build and operate these systems. To that end, we investigated changes to the optimal solution and the corresponding cost of capture considering changes in the price of utilities and solvent. We found that changes in solvent price had the most effect on the cost of capture. However, re-optimizing the designs in the event of price changes did not lead to significant improvements in the case of piperazine, cooling water and electricity, whereas re-optimizing for changes in steam prices lead to yearly saving of 3.8%. These findings show that the design choices obtained at the nominal optimal solution are insensitive to utility price changes except for the case of steam and that there is a need for altered designs for locations where the steam prices are different.
Record ID
Keywords
nonlinear programming, Optimization, post-combustion carbon capture, rate-based model, sensitivity analysis
Subject
Suggested Citation
Akkor I, Iyer SS, Dowdle J, Wang L, Gounaris C. Economic Optimization and Impact of Utility Costs on the Optimal Design of Piperazine-Based Carbon Capture. Systems and Control Transactions 3:635-640 (2024) https://doi.org/10.69997/sct.147100
Author Affiliations
Akkor I: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA, USA
Iyer SS: The Dow Chemical Company, Lake Jackson, Texas, USA
Dowdle J: The Dow Chemical Company, Lake Jackson, Texas, USA
Wang L: The Dow Chemical Company, Lake Jackson, Texas, USA
Gounaris C: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA, USA
Iyer SS: The Dow Chemical Company, Lake Jackson, Texas, USA
Dowdle J: The Dow Chemical Company, Lake Jackson, Texas, USA
Wang L: The Dow Chemical Company, Lake Jackson, Texas, USA
Gounaris C: Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA, USA
Journal Name
Systems and Control Transactions
Volume
3
First Page
635
Last Page
640
Year
2024
Publication Date
2024-07-10
Version Comments
DOI Assigned
Other Meta
PII: 0635-0640-676177-SCT-3-2024, Publication Type: Journal Article
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LAPSE:2024.1587
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https://doi.org/10.69997/sct.147100
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