Prediction of CO2 solubility in potential blends of ionic liquids with Alkanolamines using statistical non-rigorous and ANN based modeling: A comprehensive simulation study for post combustion CO2 capture-Reference-Cited by-同舟云学术

Prediction of CO2 solubility in potential blends of ionic liquids with Alkanolamines using statistical non-rigorous and ANN based modeling: A comprehensive simulation study for post combustion CO2 capture

Published:2022-03 Issue: Volume:132 Page:105866
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

Balchandani Sweta Chetananand,Dey Anirban

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference39 articles.

1. Elucidating the performance of (N-(3-aminopropyl)-1, 3-propanediamine) activated (1- dimethylamino-2-propanol) as a novel amine formulation for post combustion carbon dioxide capture;Dey;Fuel,2020

2. Comparison study of activators performance for MDEA solution of acid gases capturing from natural gas: simulation-based on a real plant;Abd;Environ. Technol. Innov.,2020

3. Ionic liquid-amine blends and CO2BOLs: prospective solvents for natural gas sweetening and CO2 capture technology—a review;Kumar;Int. J. Greenh. Gas Control,2014

4. Ionic liquids for post-combustion CO2 absorption;Wappel;Int. J. Greenh. Gas Control,2010

5. Ionic liquids: new materials with wide applications;Khupse;Indian J. Chem.,2010

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Supersonic separation benefiting the decarbonization of natural gas and flue gas;Gas Science and Engineering;2024-09

2. From alkanolamines to protic alkanolammonium ionic liquids;Journal of Molecular Liquids;2024-09

3. Geometric factors affecting CO2 separation in a supersonic separator;Process Safety and Environmental Protection;2024-09

4. Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation;Journal of Cleaner Production;2024-09

5. Quantitative structure‐property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods;International Journal of Quantum Chemistry;2024-07-29