Comparative Analysis of Conventional and Emerging Technologies for Seawater Desalination: Northern Chile as A Case Study

Saavedra, Aldo; Valdés, Hugo; Mahn, Andrea; Acosta, Orlando

doi:10.3390/membranes11030180

Cited by 28 publications

(17 citation statements)

References 135 publications

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“…Technologies for ROC are classified as conventional or emerging, depending on their scientific and technical development level, and their presence in the market (see Figure 5). Based on the definition of emerging desalination technologies proposed by Saavedra et al [12], the authors propose that emerging technologies for ROC are scientific innovations that generate incentives to invest in ROC treatment. These innovations are based on evolved technologies that improve ROC management strategies (i.e., minimize rejection and/or effluent valorization).…”

Section: Technologies For Roc Treatmentmentioning

confidence: 99%

“…The main desalination technologies are classified into two groups: thermal and membranes [10,11]. Figure 1 shows the conventional and emerging technologies for desalination, highlighting reverse osmosis (RO) and multi-effect distillation (MED) with 65% and 21% of installed capacity worldwide, respectively [12]. RO dominates the global desalination market [13] due to its systematic decrease in energy consumption, from 20 kWh/m 3 of purified water in the 1970s to 2.5 kWh/m 3 of purified water today [8,14].…”

Section: Introductionmentioning

confidence: 99%

“…Water moves from the feed (low salt concentration) to the draw solution (high salt concentration) [158,159]. The key benefits of using forward osmosis for ROC treatment are: (1) the low energy consumption that comes with it, (2) that high TDS water can be treated, and (3) the lower fouling propensity of the membranes compared to pressure-driven membrane processes [12,160]. However, water flux can be lower than expected in the forward osmosis process due to the existence of internal concentration polarization [161].…”

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confidence: 99%

“…• Membrane distillation is based on the fundamentals of evaporation, and vapor distillate may be produced by temperature, partial pressure, or vacuum gradients [12]. A gas-liquid interface is created as volatile constituents are transferred through a microporous hydrophobic membrane.…”

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confidence: 99%

“…Under the right conditions, aquaporin forms a water channel that selectively transports water molecules across while excluding ionic species or other polar molecules. Amy et al [13] reported that aquaporin-based biomimetic membranes are being developed as ultrahigh permeability RO membranes; with impregnation of aquaporins into a polymeric matrix, aquaporin can provide water channeling/gating, leading to controlled water permeability and ion selectivity [12]. This technology promises high efficiency in ROC treatment since the movement of water in aquaporins is facilitated by "selective rapid diffusion" and an osmotic gradient.…”

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confidence: 99%

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Reverse Osmosis Concentrate: Physicochemical Characteristics, Environmental Impact, and Technologies

et al. 2021

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This study’s aim is to generate a complete profile of reverse osmosis concentrate (ROC), including physicochemical characteristics, environmental impact, and technologies for ROC treatment, alongside element recovery with potential valorization. A systematic literature review was used to compile and analyze scientific information about ROC, and systematic identification and evaluation of the data/evidence in the articles were conducted using the methodological principles of grounded data theory. The literature analysis revealed that two actions are imperative: (1) countries should impose strict regulations to avoid the contamination of receiving water bodies and (2) desalination plants should apply circular economies. Currently, synergizing conventional and emerging technologies is the most efficient method to mitigate the environmental impact of desalination processes. However, constructed wetlands are an emerging technology that promise to be a viable multi-benefit solution, as they can provide simultaneous treatment of nutrients, metals, and trace organic contaminants at a relatively low cost, and are socially accepted; therefore, they are a sustainable solution.

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Section: Technologies For Roc Treatmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reverse Osmosis Concentrate: Physicochemical Characteristics, Environmental Impact, and Technologies

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An Opportunity for Synergizing Desalination by Membrane Distillation Assisted Reverse‐Electrodialysis for Water/Energy Recovery

Mujahid,

Umar Farooq,

Wang

et al. 2024

The Chemical Record

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Industry, agriculture, and a growing population all have a major impact on the scarcity of clean‐water. Desalinating or purifying contaminated water for human use is crucial. The combination of thermal membrane systems can outperform conventional desalination with the help of synergistic management of the water‐energy nexus. High energy requirement for desalination is a key challenge for desalination cost and its commercial feasibility. The solution to these problems requires the intermarriage of multidisciplinary approaches such as electrochemistry, chemical, environmental, polymer, and materials science and engineering. The most feasible method for producing high‐quality freshwater with a reduced carbon footprint is demanding incorporation of industrial low‐grade heat with membrane distillation (MD). More precisely, by using a reverse electrodialysis (RED) setup that is integrated with MD, salinity gradient energy (SGE) may be extracted from highly salinized MD retentate. Integrating MD‐RED can significantly increase energy productivity without raising costs. This review provides a comprehensive summary of the prospects, unresolved issues, and developments in this cutting‐edge field. In addition, we summarize the distinct physicochemical characteristics of the membranes employed in MD and RED, together with the approaches for integrating them to facilitate effective water recovery and energy conversion from salt gradients and freshwater.

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On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling

Hekmatmehr,

Esmaeili,

Atashrouz

et al. 2024

Water Environment Research

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As an emerging desalination technology, forward osmosis (FO) can potentially become a reliable method to help remedy the current water crisis. Introducing uncomplicated and precise models could help FO systems' optimization. This paper presents the prediction and evaluation of FO systems' membrane flux using various artificial intelligence‐based models. Detailed data gathering and cleaning were emphasized because appropriate modeling requires precise inputs. Accumulating data from the original sources, followed by duplicate removal, outlier detection, and feature selection, paved the way to begin modeling. Six models were executed for the prediction task, among which two are tree‐based models, two are deep learning models, and two are miscellaneous models. The calculated coefficient of determination (R2) of our best model (XGBoost) was 0.992. In conclusion, tree‐based models (XGBoost and CatBoost) show more accurate performance than neural networks. Furthermore, in the sensitivity analysis, feed solution (FS) and draw solution (DS) concentrations showed a strong correlation with membrane flux.Practitioner Points The FO membrane flux was predicted using a variety of machine‐learning models. Thorough data preprocessing was executed. The XGBoost model showed the best performance, with an R2 of 0.992. Tree‐based models outperformed neural networks and other models.

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Comparative Analysis of Conventional and Emerging Technologies for Seawater Desalination: Northern Chile as A Case Study

Cited by 28 publications

References 135 publications

Reverse Osmosis Concentrate: Physicochemical Characteristics, Environmental Impact, and Technologies

Reverse Osmosis Concentrate: Physicochemical Characteristics, Environmental Impact, and Technologies

An Opportunity for Synergizing Desalination by Membrane Distillation Assisted Reverse‐Electrodialysis for Water/Energy Recovery

On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling

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