Recovery of Methanol during Natural Gas Dehydration Using Polymeric Membranes: Modeling of the Process
Abstract
:1. Introduction
2. Methods
2.1. Estimation of Methanol Permeability in Polymeric Membranes
2.2. Modeling of NG Dehydration Membrane Process
3. Results and Discussion
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Nomenclature
A | membrane area, m2 |
B | width of membrane, m |
D | diffusion coefficient, m2/s |
dEF | effective diameter of gas during diffusion in polymer, m |
(ε/k)EF | effective potential of gas interaction with polymer, K |
J | flow rate, mol/s |
K | coefficient, units depend on adjacent multiplier |
L | length of membrane, m |
P | permeability coefficient, barrer |
p | pressure, bar |
Q | permeance, mol/(m2∙s∙kPa) |
S | sorption coefficient, mol/(m3∙kPa) |
x | coordinate in membrane module, m |
y | molar fraction, mol% |
Greek letter | |
α | selectivity of polymer/membrane, dimensionless |
θ | recovery of component, % |
Superscript | |
D | diffusion |
F | feed |
P | permeate |
R | retentate |
S | sorption |
Subscript | |
0 | free term of equation |
1 | first term of equation with an adjacent multiplier |
i | component |
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Process | Benefits | Disadvantages |
---|---|---|
Absorption | Continuous process Using an inexpensive and readily available absorbent Low operating costs | High capital costs An absorbent regeneration stage is required Absorbent losses |
Adsorption | Changes in temperature and pressure do not significantly affect dehydration quality Deep degree of purification (dew point −50 °C and below) | Frequency of the process High capital costs Reducing the capacity of the adsorbent and its degradation during operation (regeneration or replacement of the adsorbent) Loss of part of the product |
Low-temperature separation | Ease of implementation Low capital and operating costs Absence of reagents Easy maintenance | Loss of gas flow pressure during throttling (subsequent compression is required) Dependence of the dehydration depth on the flow pressure |
Low-temperature condensation | Absence of reagents Ease of implementation | High energy consumption to achieve low temperatures High capital costs for additional equipment |
Membrane separation | Absence of phase transitions Absence of reagents Easy maintenance Modularity, compactness | Instability of some membranes in the presence of C3+ hydrocarbons Loss of a part of the product, or additional costs for compression and recycling |
Polymer | P(CH4), Barrer | P(H2O), Barrer | P(MeOH), Barrer | α(H2O/CH4) | α(MeOH/CH4) | Ref. |
---|---|---|---|---|---|---|
PDMS | 950 | 36,000 | 13,900 | 38 | 15 | [17] |
PVTMS | 18 | 760 | 230 | 42 | 13 | [18] |
Parameters | Values |
---|---|
NG feed flow rate, m3(STP)/h | 500,000 |
Raw NG composition, mol%: | |
CH4 | 99.75 |
H2O | 0.04 |
MeOH | 0.21 |
Feed pressure, bar | 80 |
Permeate pressure, bar | 0.2–1 |
Temperature, °C | 25 |
Water dew point in dried NG, °C (mol%) | −20 (0.0014) |
Compressor adiabatic efficiency, % | 75 |
Number of recompression steps of permeate | 3 |
Polymer | P(CH4), Barrer | P(H2O), Barrer | P(MeOH), Barrer | α(H2O/CH4) | α(MeOH/CH4) | Ref. |
---|---|---|---|---|---|---|
PPO | 2.3 | 4060 | 340 * | 1765 | 147.8 * | [22,23] |
CA | 0.25 | 6000 | 161 * | 24,000 | 644 * | [22,23,24] |
PSf | 0.25 | 2000 | 94 * | 8000 | 376 * | [23,25] |
Polymer Membrane | Selective Layer Thickness, µm | Q(CH4)∙106, mol/(m2∙s∙kPa) | Q(H2O)∙106, mol/(m2∙s∙kPa) | Q(MeOH)∙106, mol/(m2∙s∙kPa) |
---|---|---|---|---|
PDMS | 3 | 110 | 4100 | 1600 |
PVTMS | 0.2 | 31 | 2300 | 570 |
PPO | 0.05 | 22 | 28,000 | 2300 |
CA | 0.1 | 0.84 | 20,000 | 550 |
PSf | 0.05 | 1.7 | 14,000 | 640 |
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Miroshnichenko, D.; Teplyakov, V.; Shalygin, M. Recovery of Methanol during Natural Gas Dehydration Using Polymeric Membranes: Modeling of the Process. Membranes 2022, 12, 1176. https://doi.org/10.3390/membranes12121176
Miroshnichenko D, Teplyakov V, Shalygin M. Recovery of Methanol during Natural Gas Dehydration Using Polymeric Membranes: Modeling of the Process. Membranes. 2022; 12(12):1176. https://doi.org/10.3390/membranes12121176
Chicago/Turabian StyleMiroshnichenko, Daria, Vladimir Teplyakov, and Maxim Shalygin. 2022. "Recovery of Methanol during Natural Gas Dehydration Using Polymeric Membranes: Modeling of the Process" Membranes 12, no. 12: 1176. https://doi.org/10.3390/membranes12121176