2021
DOI: 10.1021/acssuschemeng.1c00066
|View full text |Cite
|
Sign up to set email alerts
|

Economic Optimization of Carbon Capture Processes Using Ionic Liquids: Toward Flexibility in Capture Rate and Feed Composition

Abstract: Aprotic heterocyclic anion ionic liquids (AHA ILs) have received significant recent attention as potential absorbents for next-generation carbon capture processes. In this paper, we describe a rate-based model of an AHA IL-based carbon capture process. We use the model to perform economic optimization, minimizing a total cost function (annual operating cost plus annualized capital cost). Process-level decisions, including equipment design and operating parameters, are considered simultaneously with the materia… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
17
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(20 citation statements)
references
References 82 publications
2
17
0
Order By: Relevance
“…On the other hand, since more exothermic CO 2 -IL reactions are harder to reverse, the efficiency of regeneration stage is reduced, increasing IL and energy demands [30]. As a result, optimum performances were obtained in the reaction enthalpy range between − 43 and − 54 kJ/mol, very similar to those reported in literature studies (optimum around − 49 kJ/mol) [22,24]. This range widens the variety of possibilities when synthesizing new suitable AHA-ILs for these CO 2 capture systems, being able to select those presenting the most suitable enthalpy according to the operating conditions.…”
Section: Tablesupporting
confidence: 81%
See 1 more Smart Citation
“…On the other hand, since more exothermic CO 2 -IL reactions are harder to reverse, the efficiency of regeneration stage is reduced, increasing IL and energy demands [30]. As a result, optimum performances were obtained in the reaction enthalpy range between − 43 and − 54 kJ/mol, very similar to those reported in literature studies (optimum around − 49 kJ/mol) [22,24]. This range widens the variety of possibilities when synthesizing new suitable AHA-ILs for these CO 2 capture systems, being able to select those presenting the most suitable enthalpy according to the operating conditions.…”
Section: Tablesupporting
confidence: 81%
“…Indeed, some AHA-ILs based on imide anions were recently found to even reach superior 2:1 absorption capacity by the adequate combination of chemical and physical absorption [21]. Thus, the enthalpy of CO 2 +AHA-IL reaction plays a main role in process performance, being demonstrated that increasing the reaction exothermicity can enhance solvent and energy requirements, consequently reducing overall process costs [13,[22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…For product separation, the costs of PSA and distillation were calculated using the factorial method demonstrated in the literature with a capacity-scaling factor of 0.7. , In the stand-alone system, the cost for CO 2 capture in IL was obtained by surveying the literature, which is in the range of 20–70 €/ton-CO 2 . , In this analysis, the cost was assumed to be 50 €/ton-CO 2 . For the integrated systems, CO 2 removal belongs to the upstream producer, i.e., the “gas cleaning” unit following the biomass gasifier in the gasification chain, and this removal unit cannot be avoided in the gasification chain, no matter if the removed CO 2 will be used or not.…”
Section: Methodsmentioning
confidence: 99%
“…They have shown that their approach allows for optimization using gradient-based methods for large-scale optimization problems. Seo et al 28,29 have employed the pseudo-transient continuation method in the equation-oriented environment of gPROMS to address the optimal design of CO 2 capture processes using ionic liquids. Although significant progress has been made in this area, there are still challenges in the optimal design of CO 2 capture plants.…”
Section: Introductionmentioning
confidence: 99%