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Desalination

ISSN: 0011-9164

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Datasets associated with articles published in Desalination

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1970
2024
1970 2024
12 results
  • Data for: Analysis of RED/dRED Stack Performance Using a Resistances in Series Model
    Manuscript title: Analysis of RED/dRED Stack Performance Using a Resistances in Series Model The worksheet includes raw data and processed from RED/dRED experiments. The data from the experiments are arranged in 18 tabs (please refer to Table 2 in the manuscript). Raw data includes current density, normalized voltages (multiple Pt wires and blank method), RIS model estimates and the inlet/outlet conductivities arranged column wise. For more details contact: Vishal Vipin Wagholikar email: vishal.w@u.nus.edu
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  • Data for: Techno-economic Analysis of Converting Oil & Gas Produced Water into Valuable Resources
    Results from OLI Flowsheet modeling and DOW WAVE modeling of the baseline MVR and the advanced NR+RO+MVR designs
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  • Data for: Impact of salt retention on true batch reverse osmosis energy consumption: experiments and model validation
    This dataset contains measurements from true batch RO experiments as well as the code use for data analysis. For more info, please see the accompanying paper.
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  • Data for: How to achieve the optimal performance of capacitive deionization and inverted-capacitive deionization
    Supporting Information
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  • Data for: Synthesis, characterization and performance of polystyrene/PMMA blend membranes for potential water treatment
    PS membranes were prepared from polymeric blends of PS and PMMA via a phase inversion induced by an immersion precipitation in water coagulation baths. The effects of the casting parameters (e.g., solvent selection, the composition of the coagulation bath) and the type of polystyrene (substituents at the aromatic ring, tacticity) on the morphology and water permeation flux were studied. The findings reveal that modified PS promoting instantaneous demixing with NMP/water systems result in membranes with macrovoids while the addition of 2% of PS-r-PMMA results in membranes with high water fluxes. The membranes morphologies were governed by a trade-off between thermodynamic and kinetic aspects. The antibacterial effect of (aPS)70-co-aPS(I)30/PMMA-based membrane was examined using static and cross-flow systems. These results illustrate the diversity in the design of these PS/PMMA based membranes and highlight the possibility to control the polymer chemistry for tailoring specific morphology, permeation and antibacterial properties for the desired function.
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  • Selective sodium(I) capture by olivine FePO4@C electrode in pseudocapacitive deionization: Mechanism and application
    Selective extraction of target ions from aqueous solutions by capacitive deionization (CDI) has gradually become a highly efficient separation technology for water desalination. For the first time, a carbon coated olivine phase iron phosphate (O-FePO4@C) composite was developed by electrochemical delithiation of olivine phase LiFePO4@C composite as a pseudocapacitive electrode to explore the selective desalting behavior towards Na+, Mg2+, and Ca2+ ions. Significantly, this work also offered a new strategy for the recycling of waste lithium iron phosphate batteries, which is killing two birds with one stone. Batch experiments reflected both excellent electrosorption capacity (61.3 mg g-1 for Na+) at 1.2 V and good cycling stability of the O-FePO4@C electrode. Cyclic voltammetry (CV) and X-ray diffraction (XRD) combined with density functional theory (DFT) simulation revealed that the electrosorption mechanism of O-FePO4@C is derived from ion intercalation for Na+ and Mg2+, and electrical double layers (EDLs) adsorption for Ca2+, respectively, which exhibited outstandingly selective sodium(I) electrosorption ability. Combining density of state (DOS) of electrons with spectroscopic analysis revealed that the intercalated ions can impact electron configuration and improve the conductivity of the electrode material. The selective desalination performance of O-FePO4@C was also confirmed by treating natural groundwater samples.
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  • Dataset for 'Reversible fouling by particulate matter from natural seawater reduces RED performance while limiting biofouling'
    This dataset contains data collected during experiment on foulant fractionation of seawater in reverse electrodialysis (RED). For explanation of the experimental setup we refer you to the published paper. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.
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  • Dataset for 'Reversible fouling by particulate matter from natural seawater reduces RED performance while limiting biofouling'
    This dataset contains data collected during experiment on foulant fractionation of seawater in reverse electrodialysis (RED). For explanation of the experimental setup we refer you to the published paper. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.
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  • Data for the paper: Fouling fractionation in reverse electrodialysis with natural feed waters demonstrates dual media rapid filtration as an effective pre-treatment for fresh water
    This dataset contains data collected during experiment on foulant fractionation of fresh water in reverse electrodialysis. For explanation of the experimental setup we refer you to the published paper. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.
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  • Data for the paper: Fouling fractionation in reverse electrodialysis with natural feed waters demonstrates dual media rapid filtration as an effective pre-treatment for fresh water
    This dataset contains data collected during experiment on foulant fractionation of fresh water in reverse electrodialysis. For explanation of the experimental setup we refer you to the published paper. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.
    • Dataset
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