Numerical Study of CO2 Removal from Inhalational Anesthesia System by Using Gas-Ionic Liquid Membrane
Abstract
:1. Introduction
1.1. Separation Methods
1.2. Review of the Carbon Dioxide Removal by Applying Ionic Liquids
1.2.1. Numerical Simulations of Carbon Separations by Applying Ionic Liquids
1.2.2. Review of CO2 Removal Membranes
1.2.3. HITRAN Spectral Database
1.2.4. Scope and Novelty of This Paper
2. Materials and Methods
2.1. Diffusion Coefficients of Ionic Liquid
2.2. Multiphysics Analyses of the Carbon Removal Device
2.2.1. Fluid Flow and Continuity Equations
2.2.2. Diffusion Equations inside the CO2 Removal System
2.2.3. Boundary Conditions
2.3. IR Radiative Properties of CO2—LBL Model
- (a).
- Spectral Line Data: The method relies on a comprehensive spectroscopic database, such as HITRAN (high-resolution transmission molecular absorption) or other similar databases. These databases provide information about molecular absorption lines, including their positions, intensities, broadening parameters, and other relevant parameters.
- (b).
- Line Shape Function: To account for the Doppler, pressure, and temperature broadening effects (In this case the HITEMP is applied—see Figure 1), the spectral lines’ shapes are usually convoluted with appropriate line shape functions, such as the Voigt profile, which combines both Gaussian and Lorentzian line shapes.
3. Results
3.1. Calculation Results of the Infrared (IR) Radiation Absorption of CO and CO2
3.2. Numerical Model Convergence
4. Conclusions and Future Work
- (1)
- High selectivity: Ionic liquids can exhibit high selectivity for CO2 capture, allowing for efficient separation from gas mixtures. Their unique chemical structures and tunable properties can be designed to enhance CO2 absorption while minimizing the absorption of other gases.
- (2)
- Low volatility: Ionic liquids are non-volatile, meaning they have negligible vapor pressure at ambient conditions. This characteristic eliminates the risk of emissions from solvent evaporation, making them safer and more environmentally friendly.
- (3)
- Wide temperature range: Ionic liquids can be tailored to remain in a liquid state over a broad temperature range, including near-ambient conditions. This flexibility enables their use in various carbon capture applications, including flue gas from power plants or industrial processes.
- (4)
- Chemical stability: Ionic liquids are typically chemically stable and can withstand harsh conditions, such as high temperatures and corrosive environments. This stability allows for long-term use without significant degradation or the need for frequent replacement.
- (5)
- Lower energy requirements: Ionic liquids can have low energy requirements for CO2 desorption, enabling more energy-efficient carbon capture processes. The energy demand for regeneration can be reduced compared to traditional solvents, resulting in lower operational costs.
- (6)
- Potential for reuse: Ionic liquids can be regenerated and reused multiple times without significant loss of performance or capacity. This feature contributes to the economic viability of carbon capture technologies by reducing the overall cost of the solvent.
- (7)
- Reduced environmental impact: Ionic liquids can offer a greener alternative for carbon capture due to their low volatility, reduced energy requirements, and potential for recycling. They can help mitigate greenhouse gas emissions while minimizing the environmental impact associated with traditional solvent-based processes.
- (8)
- Versatility: Ionic liquids can be synthesized with a wide range of chemical functionalities, allowing for customization to specific carbon capture applications. Their properties can be fine-tuned to optimize performance, making them adaptable to different operating conditions and gas compositions.
- (a).
- Spectral line data: The method relies on a comprehensive spectroscopic database, such as HITRAN (high-resolution transmission molecular absorption) or other similar databases. These databases provide information about molecular absorption lines, including their positions, intensities, broadening parameters, and other relevant parameters.
- (b).
- Line shape function: To account for the Doppler, pressure, and temperature broadening effects (in this case, the HITEMP is applied), the spectral lines’ shapes are usually convoluted with appropriate line shape functions, such as the Voigt profile, which combines both Gaussian and Lorentzian line shapes.
Funding
Conflicts of Interest
Nomenclature
c | Concentration in [mole/m3] |
D | Diffusion coefficient in [m2/s] |
p | Pressure in [Pa] |
Atmospheric pressure in [Pa] | |
Gas constant (8.3143 J/(mole·K)) | |
Inner radius of the tube [m] | |
Outer radius of the tube [m] | |
Velocity vector in [m/s] | |
Subscripts | |
In | Inlet, inner radius |
Out | Outlet, outer |
Greek letters | |
η | Viscosity of the gaseous mixture in [Pa·s] |
ν | Velocity of the gaseous mixture in [m/s] |
ρ | Density of the gaseous mixture in [kg/m3] |
Abbreviations
IL | Ionic liquid |
IR | Infrared |
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Davidy, A. Numerical Study of CO2 Removal from Inhalational Anesthesia System by Using Gas-Ionic Liquid Membrane. ChemEngineering 2023, 7, 60. https://doi.org/10.3390/chemengineering7040060
Davidy A. Numerical Study of CO2 Removal from Inhalational Anesthesia System by Using Gas-Ionic Liquid Membrane. ChemEngineering. 2023; 7(4):60. https://doi.org/10.3390/chemengineering7040060
Chicago/Turabian StyleDavidy, Alon. 2023. "Numerical Study of CO2 Removal from Inhalational Anesthesia System by Using Gas-Ionic Liquid Membrane" ChemEngineering 7, no. 4: 60. https://doi.org/10.3390/chemengineering7040060