Lithium extraction from geothermal brines is challenging due to the high
concentrations of competing cations—particularly sodium, potassium, and
calcium—as well as elevated operating temperatures. Ion-exchange resins represent
a sustainable alternative; however, the performance of commercial resins for
selective lithium recovery from such brines remains insufficiently explored.
In this thesis, a weakly acidic cation-exchange resin, Lewatit MDS TP 208 (LIXR),
was investigated with a focus on its preferential adsorption of calcium over lithium.
Kinetic studies conducted using lithium solutions prepared in distilled water
confirmed a chemically controlled ion-exchange mechanism, with the adsorption
behavior following a pseudo-second-order kinetic model. Adsorption isotherms
were evaluated using four models—Langmuir, Freundlich, Temkin, and
Radushkevich—revealing that the Langmuir model provided the best fit, with a
maximum adsorption capacity of approximately 8.83 mg-Li/g-resin.
Subsequently, fixed-bed adsorption experiments were designed using a Central
Composite Design (CCD), considering four operational variables: temperature,
flow rate, initial lithium concentration, and bed height. Dynamic lithium adsorption
behavior was analyzed using the Adams–Bohart, Yan, Yoon–Nelson, and Thomas
models, with the Thomas model exhibiting the best match with experimental data
(R² = 0.999). The calculation results showed the adsorption capacity of the LIXR
of 40 mg g-1.
In parallel, machine-learning models were developed to predict calcium adsorption
capacity and lithium retention time prior to desorption. SHapley Additive
exPlanations (SHAP) analysis identified the initial lithium concentration as the
most influential parameter, in agreement with Response Surface Methodology
(RSM) results.
Overall, the combined experimental and predictive analyses demonstrate the
potential of LIXR to enhance calcium–lithium separation, providing a strong
foundation for more efficient and greener lithium extraction from geothermal
brines.
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