Mixing gamma-Al2O3, silica-ZIF-8 and activated carbon nanoparticles in aqueous N-methyldiethanolamine+sulfolane as a nanofluid for application on CO2 absorption
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- @Article{BAHADORI:2024:jco2u,
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author = "Mohammad Keshavarz Bahadori and Reza Golhosseini and
Mohammad Shokouhi and Ali T. Zoghi",
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title = "Mixing gamma-{Al2O3}, silica-{ZIF-8} and activated
carbon nanoparticles in aqueous
N-methyldiethanolamine+sulfolane as a nanofluid for
application on {CO2} absorption",
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journal = "Journal of CO2 Utilization",
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volume = "79",
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pages = "102650",
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year = "2024",
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ISSN = "2212-9820",
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DOI = "doi:10.1016/j.jcou.2023.102650",
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URL = "https://www.sciencedirect.com/science/article/pii/S2212982023002615",
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keywords = "genetic algorithms, genetic programming, Hybrid
alkanolamine solution, Si-ZIF-8, gamma-AlO, Super
activated carbon, Nanofluid",
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abstract = "Mixing of Al2O3, superactive carbon (SAC), and
Si-ZIF-8 nanoparticles in alkanol amine solvents with
aqueous and hybrid context were used to study the
absorption of carbon dioxide. Hybrid-based nanofluids
composed of aqueous N- methyldiethanolamine (MDEA) +
Sulfolane (SFL) + small amount of nano particles
including-gamma-Al2O3, Si-ZIF-8 and SAC in three
concentrations levels, were prepared by weighting each
components. The Zeta potential of suspensions was found
thatgamma-Al2O3, Si-ZIF-8 and super activated carbon is
stable in aqueous solvents. Absorption measurements
were performed using the static method at a temperature
of T = 313.15 K, gas partial pressure ranges up to
about 1.2 MPa, nanoparticle concentrations of 0.02 -
0.50 by weight percent, and fixed concentration of MDEA
(40 wtpercent) and SFL (30 wtpercent). It was found
that in the hybrid context (i.e., MDEA 40 wtpercent +
SFL 30 wtpercent), the addition of gamma-Al2O3 (0.1
wtpercent), Si-ZIF-8 (0.02 wtpercent) and SAC (0.1
wtpercent) has maximum effect on CO2 absorption. In
aqueous context (i.e., MDEA 40 wtpercent), nanofluids
used in the present study have no significant effect on
CO2 capacity. The importance of the addition of SFL in
nanofluids was discussed, and the experimental
solubility data was modeled using Genetic Programming
approach. Average absolute relative deviation (AARD),
Coefficient of determination R2, as well as Root mean
square error (RMSE) were 10.43percent & 8.94percent,
0.985 & 0.983, 0.051 & 0.054 for training and
validating data, respectively. It is found that the
determined parameters give satisfactory predictions in
the modeling of the solubility",
- }
Genetic Programming entries for
Mohammad Keshavarz Bahadori
Reza Golhosseini
Mohammad Shokouhi
Ali T Zoghi
Citations