Applying intelligent approaches to estimate the removal efficiency of heat stable salts from lean amine via electrodialysis
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- @Article{MORADKHANI:2022:IJGGC,
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author = "M. A. Moradkhani and T. Kikhavani and
S. H. Hosseini and B. {Van Der Bruggen} and B. Bayati",
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title = "Applying intelligent approaches to estimate the
removal efficiency of heat stable salts from lean amine
via electrodialysis",
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journal = "International Journal of Greenhouse Gas Control",
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volume = "113",
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pages = "103548",
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year = "2022",
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ISSN = "1750-5836",
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DOI = "doi:10.1016/j.ijggc.2021.103548",
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URL = "https://www.sciencedirect.com/science/article/pii/S1750583621002991",
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keywords = "genetic algorithms, genetic programming, Radial basis
function, Electrodialysis, Heat stable salts, Lean
amine",
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abstract = "Intelligent approaches based on radial basis function
(RBF) neural networks and genetic programming (GP) were
used to establish accurate models for estimating the
removal efficiency of heat stable salts from lean amine
via electrodialysis. The operating time, current
intensity, membrane types, HSS concentration, and kind
of concentrated solution were lumped into dimensionless
groups. The groups with the most influence were
selected based on the Pearson's correlation matrix for
the models' inputs. The RBF model showed an excellent
agreement with real data with average absolute relative
error (AARE) of 1.90percent and R2 of 99.21percent.
Then, an explicit empirical correlation was developed
for the removal efficiency using the GP technique,
which yielded AARE and R2 values of 5.74percent and
96.35percent, respectively. The performance of the GP
and RBF models for estimating the removal efficiency of
different ions for different types of membranes and
operating conditions were assessed and reasonable
results were achieved. Finally, to identify the most
effective dimensionless groups to describe the removal
efficiency, a sensitivity analysis based on the
developed GP and RBF models was accomplished",
- }
Genetic Programming entries for
Mohammad Amin Moradkhani
T Kikhavani
Seyyed Hossein Hosseini
B Van Der Bruggen
Behrouz Bayati
Citations