Equilibrium solubility measurement of carbon dioxide in hybrid solvents of aqueous N-methyldiethanolamine blended with 1-Methyl-3-octyl-imidazolium tetrafluoroborate ionic liquid at high pressures

Damanafshan, Milad; Mokhtarani, Babak; Mirzaei, Mojtaba; Sharifi, Ali

doi:10.1016/j.molliq.2021.116571

Cited by 10 publications

(13 citation statements)

References 54 publications

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“…One popular absorbent system developed is the hybrid of alkanolamines and ILs. 125,126,[128][129][130][131] In 2021, Damanafshan et al 129 analyzed the carbon capture performance of an aqueous MDEA and [Omin][BF 4 ] IL blend. It was reported that the blended absorbent can enhance CO 2 absorption capacity of approximately 0.05 to 2 mol CO 2 /mol amine compared to a typical MDEA solution.…”

Section: Hybrid/novel Absorbentmentioning

confidence: 99%

“…32,65,130,170,171 The majority of the current studies only focus on the absorption (i.e., CO 2 loading capacity and reaction rate) and desorption (regeneration energy) capabilities of these novel absorbents and have yet to be coupled with a utilization potential. 125,126,129,130 Therefore, Damanafshan et al, 129 in a more recent work, pointed out that ongoing investigations on additional criteria (i.e., degradation rate, vapor pressure, corrosiveness and solvent cost) set by Budzianowski et al 135 and the respective utilization potential needs to be established to nudge the development of these novel absorbents for industrial scale-up. 139 On the other hand, CO 2 utilization pathway consideration is crucial for developing a sustainable carbon capture process.…”

Section: Challenges and Future Prospect Of Co 2 Capture Technologymentioning

confidence: 99%

“…One popular absorbent system developed is the hybrid of alkanolamines and ILs 125,126,128–131 . In 2021, Damanafshan et al 129 .…”

Section: Chemical Absorption Absorbentmentioning

confidence: 99%

“…One popular absorbent system developed is the hybrid of alkanolamines and ILs 125,126,128–131 . In 2021, Damanafshan et al 129 . analyzed the carbon capture performance of an aqueous MDEA and [Omin][BF 4 ] IL blend.…”

Section: Chemical Absorption Absorbentmentioning

confidence: 99%

“…However, most of the novel absorbents are still in their infancy as most related research has only started in the last 11 years 32,65,130,170,171 . The majority of the current studies only focus on the absorption (i.e., CO 2 loading capacity and reaction rate) and desorption (regeneration energy) capabilities of these novel absorbents and have yet to be coupled with a utilization potential 125,126,129,130 . Therefore, Damanafshan et al., 129 in a more recent work, pointed out that ongoing investigations on additional criteria (i.e., degradation rate, vapor pressure, corrosiveness and solvent cost) set by Budzianowski et al 135 .…”

Section: Challenges and Future Prospect Of Co2 Capture Technologymentioning

confidence: 99%

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Review of carbon capture absorbents for CO₂utilization

2022

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Carbon capture technologies have been recognized as a potential alternative to alleviate global warming. Carbon capture and storage (CCS) is preferred over carbon conversion and utilization (CCU) due to its lower operating costs and higher CO2 reduction capability. Nevertheless, CO2 utilization has the potential to be more economical if value‐added products are produced. This highlights the importance of assessing CO2 utilization routes and alternatives in carbon management. This review paper aims to evaluate the carbon utilization potential of major CO2‐capturing absorbents including amine, hydroxide, ionic liquid, amino acids and carbonate absorbents. All absorbents show potential application for CO2 utilization except for ionic liquids (ILs) due to their unclear CO2 capture mechanisms. Absorbents that require a desorption process for CO2 utilization include MEA, MDEA, K2CO3 and Na2CO3 due to their high absorption capacity. Industries have utilized the desorbed CO2 as chemical feedstocks, enhanced oil recovery (EOR) and mineral carbonation. For hydroxide absorbents and CaCO3, desorption of CO2 is unnecessary as the absorbed CO2 can be directly utilized to produce construction materials. Apart from that, the incorporation of advanced technologies and business models introduced by the fourth industrial revolution are plausible considerations to accelerate the development of carbon capture technologies. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Hybrid/novel Absorbentmentioning

confidence: 99%

Section: Challenges and Future Prospect Of Co 2 Capture Technologymentioning

confidence: 99%

“…One popular absorbent system developed is the hybrid of alkanolamines and ILs 125,126,128–131 . In 2021, Damanafshan et al 129 .…”

Section: Chemical Absorption Absorbentmentioning

confidence: 99%

Section: Chemical Absorption Absorbentmentioning

confidence: 99%

Section: Challenges and Future Prospect Of Co2 Capture Technologymentioning

confidence: 99%

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Review of carbon capture absorbents for CO₂utilization

2022

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Quantitative structure‐property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods

Benmouloud,

Euldji,

Si‐Moussa

et al. 2024

Int J of Quantum Chemistry

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Ionic liquids (ILs) are considered unique and attractive types of solvents with great potential to capture carbon dioxide (CO2) and reduce its emissions into the atmosphere. On the other hand, carrying out experimental measurements of CO2 solubility for each new IL is time‐consuming and expensive. Whereas, the possible combinations of cations and anions are numerous. Therefore, the preparation and design of such processes requires simple and accurate models to predict the solubility of CO2 as a greenhouse gas. In the present study, two different models, namely: artificial neural network (ANN) and support vector machine optimized with dragonfly algorithm (DA‐SVM) were used in order to establish a quantitative structure–property relationship (QSPR) between the molecular structures of cations and anions and the CO2 solubility. More than 10 116 CO2 solubility data measured in various ionic liquids (ILs) at different temperatures and pressures were collected. 13 significant PaDEL descriptors (E2M, MATS8S, TDB6I, TDB1S, ATSC4V, MATS8M, ATSC7V, Gats2S, Gats5S, Gats5C, ATSC6V, DE, and Lobmax), temperature and pressure were considered as the model input data. For the test set data (2023 data point), the estimated mean absolute error (MAE) and R2 for the ANN model are of 0.0195 and 0.9828 and 0.0219 and 0.9745 for the DA‐SVM model. The results obtained showed that both models can reliably predict the solubility of CO2 in ILs with a slight superiority of the ANN model. Examination of sensitivity and outlier diagnosis examinations confirmed that the QSPR model optimized using the ANN algorithm is better suited to correlate and predict this property.

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