A review on the recent advances in composite membranes for CO2 capture processes

Dai, Yangyang; Luo, Wenjia; Wang, Yuanyuan; Mu, Peng; Li, Jian

doi:10.1016/j.seppur.2022.122752

Cited by 47 publications

(19 citation statements)

References 168 publications

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“…Therefore, sustainability has attracted the interest of both academia and industry, and it is clear that it has become a key factor influencing both academic and industrial fields and is beginning to lead an increasing number of research areas such as polymers, batteries, photochemistry, biomass conversion, energy harvesting, etc. [1][2][3][4][5][6] To solve this problem, the most important thing is to start from various industrial sources to achieve energy saving and emission reduction or recycling. Therefore, it is necessary to find materials that not only have similar properties or possess higher performance, but also can be prepared through sustainable synthetic routes.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Wang,

Zhong,

Niu

et al. 2023

Chem. Commun.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Wang,

Zhong,

Niu

et al. 2023

Chem. Commun.

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“…The absorption method has the disadvantages of complicated process steps, high investment cost and high energy consumption in the regeneration process, which seriously restrict the development of this method. Membrane separation technology has many inherent advantages for CO 2 capture, such as little impact on the environment, simple operation, and ease of scale-up and integration with other processes [ 6 ]; it is one of the most promising methods to replace absorption technology [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Synchronous Design of Membrane Material and Process for Pre-Combustion CO2 Capture: A Superstructure Method Integrating Membrane Type Selection

Cao

Zhang

et al. 2023

Membranes

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Membrane separation technology for CO2 capture in pre-combustion has the advantages of easy operation, minimal land use and no pollution and is considered a reliable alternative to traditional technology. However, previous studies only focused on the H2-selective membrane (HM) or CO2-selective membrane (CM), paying little attention to the combination of different membranes. Therefore, it is hopeful to find the optimal process by considering the potential combination of H2-selective and CO2-selective membranes. For the CO2 capture process in pre-combustion, this paper presents an optimization model based on the superstructure method to determine the best membrane process. In the superstructure model, both CO2-selective and H2-selective commercial membranes are considered. In addition, the changes in optimal membrane performance and capture cost are studied when the selectivity and permeability of membrane change synchronously based on the Robeson upper bound. The results show that when the CO2 purity is 96% and the CO2 recovery rate is 90%, the combination of different membrane types achieves better results. The optimal process is the two-stage membrane process with recycling, using the combination of CM and HM in all situations, which has obvious economic advantages compared with the Selexol process. Under the condition of 96% CO2 purity and 90% CO2 recovery, the CO2 capture cost can be reduced to 11.75$/t CO2 by optimizing the process structure, operating parameters, and performance of membranes.

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“…The technological pathways pursued for CO 2 capture include precombustion (CO 2 concentration of 15–60% and partial pressure of 2–7 MPa), postcombustion (CO 2 concentration of 3–20% and partial pressure of 0.003–0.02 MPa), oxy-fuel combustion routes (CO 2 concentration > 95% and partial pressure of 0.1–0.5 MPa), and direct air carbon capture (CO 2 concentration of ∼400 ppm and pressure < 0.1 MPa) . The existing CO 2 capture techniques include, absorption, adsorption, membrane separation, cryogenic separation, mineral carbonation, bioenergy with carbon capture and storage (BECCS), and direct air capture (DAC) . Among all these methods, solvent-based absorption is the most widely used, due to its high efficiency and low cost of operation .…”

Section: Introductionmentioning

confidence: 99%

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents

Mehtab

Alam

Povari

et al. 2023

Environ. Sci. Technol.

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CO2 sorption in physical solvents is one of the promising approaches for carbon capture from highly concentrated CO2 streams at high pressures. Identifying an efficient solvent and evaluating its solubility data at different operating conditions are highly essential for effective capture, which generally involves expensive and time-consuming experimental procedures. This work presents a machine learning based ultrafast alternative for accurate prediction of CO2 solubility in physical solvents using their physical, thermodynamic, and structural properties data. First, a database is established with which several linear, nonlinear, and ensemble models were trained through a systematic cross-validation and grid search method and found that kernel ridge regression (KRR) is the optimum model. Second, the descriptors are ranked based on their complete decomposition contributions derived using principal component analysis. Further, optimum key descriptors (KDs) are evaluated through an iterative sequential addition method with the objective of maximizing the prediction accuracy of the reduced order KRR (r-KRR) model. Finally, the study resulted in the r-KRR model with nine KDs exhibiting the highest prediction accuracy with a minimum root-mean-square error (0.0023), mean absolute error (0.0016), and maximum R 2 (0.999). Also, the validity of the database created and ML models developed is ensured through detailed statistical analysis.

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A review on the recent advances in composite membranes for CO2 capture processes

Cited by 47 publications

References 168 publications

Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Synchronous Design of Membrane Material and Process for Pre-Combustion CO2 Capture: A Superstructure Method Integrating Membrane Type Selection

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents

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A review on the recent advances in composite membranes for CO2 capture processes

Cited by 47 publications

References 168 publications

Synthesis and up-to-date applications of 2D microporous g-C3N4 nanomaterials for sustainable development

Synthesis and up-to-date applications of 2D microporous g-C3N4 nanomaterials for sustainable development

Synchronous Design of Membrane Material and Process for Pre-Combustion CO2 Capture: A Superstructure Method Integrating Membrane Type Selection

Reduced Order Machine Learning Models for Accurate Prediction of CO2 Capture in Physical Solvents

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Product

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Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Synthesis and up-to-date applications of 2D microporous g-C₃N₄ nanomaterials for sustainable development

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents