Selective Recovery of Metals from Geothermal Brines

Ventura, Susanna; Bhamidi, Srinivas; Hornbostel, Marc D.; Nagar, Anoop; Perea, Elisabeth

doi:10.2172/1336270

Cited by 14 publications

(47 citation statements)

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“…The lithium uptake capacity of the ion-imprinted polymer varied as a function of the composition and degree of crosslinking. Lithium uptake as high as 2.8 mg lithium/g polymer was found for the best-performing lithium-imprinted polymers when tested in an aqueous solution containing 390 mg/L lithium at 45°C (Ventura et al, 2016). The solution pH 7 and pH 9 buffers did not measurably change the lithium capacity of the polymer.…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 95%

“…Ventura et al (2016) investigated the use of metal-ion imprinted polymers as selective ionexchange resins for the separation of lithium and manganese from brines in the context of geothermal power production. Ventura et al (2016) manufactured polymers by chelating the metal target (lithium or manganese), polymerizing the metal chelate monomer, and, with or without a co-monomer, applying ethylene glycol dimethacrylate as a crosslinking agent. The metal ion is then extracted from the polymer to leave pores and ion exchange sites specific to the imprinted metal ( Figure 18).…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

“…Manganese-imprinted polymers were prepared by varying the relative amount of functional monomer and crosslinking agent. In one experiment, manganese-imprinted polymers were grafted onto silica particles (Ventura et al, 2016).…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

“…The resins were found to be thermally stable to approximately 240°C in air and were tested at three fluid temperatures: 45°C, 75°C, and 100°C (Ventura et al, 2016). All experiments were conducted with synthetic brines.…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

“…Flow-through column experiments were also conducted. The resins were reported to be reusable after seven sorption/acid extraction cycles (Ventura et al, 2016).…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

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Retrospective on Recent DOE-Funded Studies Concerning the Extraction of Rare Earth Elements & Lithium from Geothermal Brines (Final Report)

Stringfellow

Dobson

2020

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level (TRL) and showed promise, but direct comparison between technologies was not possible based on the available information. It is recommended that testing and reporting be standardized to the extent possible to facilitate comparisons between technologies. Two projects were directed at novel lithium extraction technology. Both projects investigated the use of inorganic sorbents, including manganese oxides. One study also examined the use of metalion imprinted polymers as selective ion-exchange resins for the separation of lithium and manganese from brines. Both approaches showed promise for the selective extraction of lithium from brines, including potentially geothermal brines. Results from these GTO studies indicated that selective REE and lithium extraction is possible, but interference from co-occurring solutes, such as calcium, magnesium, or heavy metals, will interfere with process efficiency and negatively impact process economics. Techno-economic analysis conducted as part of the resource and technology studies suggest extraction of REE from geothermal brines is unlikely to be economically viable, especially since non-geothermal produced waters frequently have higher REE concentrations. It is recommended that benchmarks for techno-economic analysis be established to the extent possible for future studies, to facilitate direct comparison of various technologies. Based on the collective results of this program, it appears that hybrid geothermal power would benefit more from recovery of lithium and other metals, rather than REE. It is recommended that future studies be conducted at a higher-TRL and that sorbents be tested against actual geothermal fluid samples. Prior higher-TRL efforts to extract metals from geothermal brines should be further evaluated for lessons learned.

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Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 95%

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

“…Flow-through column experiments were also conducted. The resins were reported to be reusable after seven sorption/acid extraction cycles (Ventura et al, 2016).…”

Section: Metal-ion Imprinted Polymers (De-ee-0006747)mentioning

confidence: 99%

See 3 more Smart Citations

Retrospective on Recent DOE-Funded Studies Concerning the Extraction of Rare Earth Elements & Lithium from Geothermal Brines (Final Report)

Stringfellow

Dobson

2020

View full text Add to dashboard Cite

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Application of geochemical and groundwater data to predict sinkhole formation in a gypsum formation in Manitoba, Canada

et al. 2019

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Economics of deep geothermal systems for power production can be improved by targeting warm thermal anomalies. Anomalies can occur near minerals with high thermal conductivity such as halite and dolomite. However, the solubility of these formations may contribute to technical problems associated with geochemistry. In order to evaluate the feasibility and potential benefits xii 𝑄 ̇regional heat flow (W m -2 ) Rretardation (-) Re -Reynolds number (-) Ssize of fracture (m) 𝑆 0specific storage (m -1 ) 𝑆 𝑐advection/dispersion sources and sinks (kg m -3 s -1 ) 𝑆 𝑄volumetric flow rate per unit volume representing sources and sinks (s -1 ) ttime (s) 𝑇temperature at depth (K) 𝑇 0reference or surface temperature (K) Udimensionless time (-) 𝑣 ⃑fluid velocity (m s -1 ) 𝑣 𝑥fluid velocity in the x direction (m s -1 ) 𝑣 𝐿fluid velocity in the longitudinal direction (m s -1 ) 𝑊 𝑎𝑞mass of the solvent in water in an aqueous solution (kg) 𝑊 ̇maximum potential power output of a geothermal well (kW) xx-direction (m) yy-direction (m) zelevation head (m) Greek 𝛽 -dimensionless constant relating density and concentration (kg m -3 ) 𝛣thermal expansivity of fluid (°C -1 ) 𝛾 𝑖activity coefficient of species i (-) 𝜀porosity (-) 𝜀frequivalent fracture porosity for a porous medium (-) 𝜃relative liquid phase saturation (m 3 m -3 ) 𝝀heat (thermal) conductivity (W m -1 K -1 ) 𝚲thermal hydrodynamic tensor (kg m s -3 K -1 ) 𝜇fluid dynamic viscosity (kg m -1 s -1 ) 𝜌fluid density (kg m -3 ) 𝜌 0mass density of the reference water (kg m -3 ) 𝜌 𝑠mass density of the saltwater (kg m -3 ) 𝜌 𝑚mass density of the solid matrix (kg m -3 ) 𝜔coefficient related to tortuosity (-) 𝜒buoyancy coefficient (-) 𝛤second-order thermal expansivity of fluid and (°C -2 ) 𝜅fluid compressibility (MPa -1 ) 𝛺pump efficiency in a geothermal system (-) 𝜂 𝑝𝑟𝑜𝑑 and 𝜂 𝑖𝑛𝑗enthalpy of fluid at each the production and injection wells (kJ kg -1 ) 𝜑 1 and 𝜑 0specific entropy of fluid at the production and injection wells (kJ kg -1 °C-1 )

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