Cited by Unveiling the phase effect on plasma-catalyzed highly selective conversion H2S-CO2 into syngas over ZrO2 catalyst

Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review DOI

Bilal Kazmi,

Syed Ali Ammar Taqvi,

Dagmar Juchelkov

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103851 - 103851

Published: Jan. 5, 2025

Language: Английский

Citations

Implantation of guanidine chemical adsorption sites in hyper-crosslinked polymers for effective adsorption and conversion of H2S DOI

Ping Liu,

Quanlan Liao,

Tianxiang Zhao

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 487, P. 150481 - 150481

Published: March 16, 2024

Language: Английский

Citations

Ionic liquid-ethanol mixed solvent design exemplified for the decarbonization of shale gas and biogas DOI

Xinyan Liu,

Jingzi Gao,

Ao Huang

et al.

Chemical Engineering Science, Journal Year: 2024, Volume and Issue: 293, P. 120022 - 120022

Published: March 17, 2024

Language: Английский

Citations

Finely Tailoring Microstructure of Hyperbranched Polyimide Membrane for Facile Natural Gas Upgrading DOI

Ji Ma, Wen He,

Weiwang Lim

et al.

Journal of Membrane Science, Journal Year: 2025, Volume and Issue: unknown, P. 123729 - 123729

Published: Jan. 1, 2025

Language: Английский

Citations

Energy‐Efficient Styrene Production by Incorporating Ionic Liquid‐Based Separation Technology DOI

Yang Lei, Jiaqi Yan, Yuming Chen

et al.

Chemical Engineering & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

Abstract The separation of ethylbenzene/styrene represents a pivotal step in the styrene production process, which is associated with significant energy consumption, substantial costs, and considerable environmental impact. In this study, ionic liquids (ILs) were incorporated into thereby enabling energy‐efficient through use extractive distillation. By solving formulated mixed‐integer nonlinear programming (MINLP) problem based on computer‐aided liquid design (CAILD), 1‐methylpyridinium trifluoromethanesulfonate ([mPy][CF 3 SO ]) 1‐ethylpyridinium tetrafluoroborate ([C 2 Py][BF 4 identified as optimal IL candidates for application. Comprehensive process simulations optimizations conducted, focusing impact, economic performance. comparison to conventional [mPy][CF ]‐based [C processes achieved reductions consumption by 44.2 % 59.0 %, respectively. Furthermore, there was notable reduction carbon emissions, amounting 28.9 25.4 %. However, utilizing ] showed an increase total annual cost (TAC) 11.8 Meanwhile, demonstrated diminution TAC 3.7 Nonetheless, Monte Carlo indicate that IL‐based exhibit slightly better resilience uncertainties compared processes. Overall, benefits highlight their potential production, especially implementation active policies related emissions (e.g., taxes).

Language: Английский

Citations

Gas-to-liquid (GTL) and SMR–CaL–DMR integration for advanced environmental and economic performance DOI

Dohee Kim, Yungeon Kim, Sebin Oh

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 332, P. 119766 - 119766

Published: April 7, 2025

Language: Английский

Citations

Application of machine learning approaches for estimating carbon dioxide absorption capacity of a variety of blended imidazolium-based ionic liquids DOI

Alexei Rozhenko, Fahimeh Hadavimoghaddam, Peyvand Valeh‐e‐Sheyda

et al.

Journal of Molecular Graphics and Modelling, Journal Year: 2025, Volume and Issue: 139, P. 109060 - 109060

Published: April 26, 2025

Language: Английский

Citations

Reactive regeneration in novel hybrid solvent: Achieving dual objectives of H2S conversion and absorbent regeneration DOI

Ping Liu, Yuxing Yuan, Tianxiang Zhao

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 490, P. 151622 - 151622

Published: April 24, 2024

Language: Английский

Citations

Modeling Study on Heat Capacity, Viscosity, and Density of Ionic Liquid–Organic Solvent–Organic Solvent Ternary Mixtures via Machine Learning DOI

You Shu,

Lei Du, Yang Lei

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(7), P. 1420 - 1420

Published: July 7, 2024

Physicochemical properties of ionic liquids (ILs) are essential in solvent screening and process design. However, due to their vast diversity, acquiring IL through experimentation alone is both time-consuming costly. For this reason, the creation prediction models that can accurately forecast characteristics its mixtures crucial application. This study proposes a model for predicting three important parameters IL-organic solvent–organic ternary system: density, viscosity, heat capacity. The incorporates group contribution (GC) machine learning (ML) methods. A link between variables such as temperature, pressure, molecular structure established by model. We gathered 2775 6515 1057 capacity data points compare accuracy methods, namely, artificial neural networks (ANNs), extreme gradient boosting (XGBoost), light (LightGBM). As be observed from findings, ANN produced best results out GC-based ML even though all dependable predictions. capacity, mean absolute error (MAE) 1.7320 squared correlation coefficient (R2) 0.9929. Regarding MAE 0.0225 R2 0.9973. 7.3760 0.9943. Shapley additive explanatory (SHAP) approach was applied comprehend significance each feature findings. analysis indicated R-CH3 ILs, followed imidazolium (Im) group, had highest impact on property system. On other hand, Im R-H ILs most effects viscosity. In terms greatest effect system, molar fraction organic solvent.

Language: Английский

Citations

Kinetic and Thermodynamic Analysis of H2S Absorption by a Non-aqueous Absorbent of Monoethanolamine /Ethylene Glycol DOI

Hao Dong, Bo Wang,

Xiandong Hao

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(5), P. 114021 - 114021

Published: Sept. 3, 2024

Language: Английский

Citations