Reverse Osmosis Network Rigorous Design Optimization

Parra, Abdon; Noriega, M.A.; Yokohama, Lidia; Bagajewicz, Miguel J.

doi:10.1021/acs.iecr.8b02639

Cited by 12 publications

(26 citation statements)

References 44 publications

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“…Overall, multi-stage design exhibits higher water recovery, while single-stage design has a lower capital cost. RO network configuration determines the cost and efficiency of the process [ 46 ]. In general, a serial arrangement of RO modules is preferred due to higher energy efficiency [ 11 ].…”

Section: Reverse Osmosismentioning

confidence: 99%

“…Surface functionalization methods include nanoparticle (NP) doping, functional group grafting, and changing surface morphology to improve membrane performance [ 21 , 53 ]. Various materials have been studied for RO including cellulose [ 54 ], aquaporin [ 55 ], bentonite [ 56 ], carbon-based materials (graphene [ 57 , 58 ], carbon nanotubes (CNT) [ 59 ], and carbon quantum dot [ 60 ]), bromoacetic groups [ 46 ], zeolites [ 61 ], metal organic frameworks (MOFs) [ 62 ], and metal-based NPs (metals [ 63 , 64 ], metal oxides [ 65 ], and metal alkoxides [ 66 ]). Grafting hydrophilic groups, e.g., polydopamine [ 67 ], polyethylene glycol groups [ 68 , 69 ], and zwitterion groups [ 70 , 71 ], have been reported to improve membrane antifouling properties.…”

Section: Reverse Osmosismentioning

confidence: 99%

“…Smooth, hydrophilic, and charged surfaces improve antifouling properties and reinforce chlorine resistance [ 48 , 72 ]. Functionalizing the membrane active layer can improve water permeability without significant effects on NaCl rejection [ 45 , 47 , 58 ], while mitigating biofouling [ 39 , 42 , 44 ], enhancing membrane anti-bacterial properties [ 46 , 63 , 72 ], and improving chlorine resistance [ 73 , 74 ].…”

Section: Reverse Osmosismentioning

confidence: 99%

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Frontiers of Membrane Desalination Processes for Brackish Water Treatment: A Review

et al. 2021

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Climate change, population growth, and increased industrial activities are exacerbating freshwater scarcity and leading to increased interest in desalination of saline water. Brackish water is an attractive alternative to freshwater due to its low salinity and widespread availability in many water-scarce areas. However, partial or total desalination of brackish water is essential to reach the water quality requirements for a variety of applications. Selection of appropriate technology requires knowledge and understanding of the operational principles, capabilities, and limitations of the available desalination processes. Proper combination of feedwater technology improves the energy efficiency of desalination. In this article, we focus on pressure-driven and electro-driven membrane desalination processes. We review the principles, as well as challenges and recent improvements for reverse osmosis (RO), nanofiltration (NF), electrodialysis (ED), and membrane capacitive deionization (MCDI). RO is the dominant membrane process for large-scale desalination of brackish water with higher salinity, while ED and MCDI are energy-efficient for lower salinity ranges. Selective removal of multivalent components makes NF an excellent option for water softening. Brackish water desalination with membrane processes faces a series of challenges. Membrane fouling and scaling are the common issues associated with these processes, resulting in a reduction in their water recovery and energy efficiency. To overcome such adverse effects, many efforts have been dedicated toward development of pre-treatment steps, surface modification of membranes, use of anti-scalant, and modification of operational conditions. However, the effectiveness of these approaches depends on the fouling propensity of the feed water. In addition to the fouling and scaling, each process may face other challenges depending on their state of development and maturity. This review provides recent advances in the material, architecture, and operation of these processes that can assist in the selection and design of technologies for particular applications. The active research directions to improve the performance of these processes are also identified. The review shows that technologies that are tunable and particularly efficient for partial desalination such as ED and MCDI are increasingly competitive with traditional RO processes. Development of cost-effective ion exchange membranes with high chemical and mechanical stability can further improve the economy of desalination with electro-membrane processes and advance their future applications.

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Section: Reverse Osmosismentioning

confidence: 99%

Section: Reverse Osmosismentioning

confidence: 99%

Section: Reverse Osmosismentioning

confidence: 99%

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Frontiers of Membrane Desalination Processes for Brackish Water Treatment: A Review

et al. 2021

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“…Chauhan et al [22] developed a superstructure-based optimization approach for hybrid seawater RO-NF membrane desalination and salt production. More recently, Parra et al [23] proposed the use of metamodels to speed up the solution of the nonlinear RO network optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Hydrolysis Sugar Membrane Purification System Using a Superstructure-Based Approach

et al. 2021

Processes

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As an alternative to gasoline, bioethanol can be produced from lignocellulosic biomass through hydrolysis using an ionic solution containing zinc chloride (ZnCl2). This method allows for a high yield of glucose from lignocellulose, but entails the removal of ZnCl2 from the hydrolysate using multiple nanofiltration membranes before the fermentation of glucose. This paper presents a mathematical technique for designing such a multistage membrane separation system. The optimization model for the synthesis of membrane networks is based on a superstructure with all feasible interconnections between the membrane units, and consists of mass balances, logical constraints and product specifications. A case study of the separation of a bagasse hydrolysis solution is used to demonstrate the application of the proposed model. Results show that using both types of nanofiltration membranes allows higher ZnCl2 removal ratios at each membrane unit, hence a decrease in the number of membrane units required and a reduction of about 35% in capital cost compared to the cases in which only one membrane type is used. Further analysis is performed to examine the effect of membrane performance on the economics of the separation system.

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“…In conventional development of membrane process plants, the modification of membranes and the design of membrane processes are decoupled [1]. On the one hand, process design of water treatment plants uses numerical optimization methods to find the right connectivity of membranes, pumps, and mixers [2][3][4][5][6][7][8][9][10][11]. On the other hand, recent developments in membrane science deliver better performance, balancing the delicate trade-off between permeability and selectivity in membrane design [1,12] by changing the material systems, using composite membranes or modifying the membrane surface [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous rational design of ion separation membranes and processes

Rall

Schweidtmann

Aumeier

et al. 2020

Journal of Membrane Science

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Economically viable water treatment process plants for drinking water purification are a prerequisite for sustainable supply of safe drinking water in the future. However, modern membrane process development experiences a disconnect in this domain: the synthesis of the membrane and the design of the process are decoupled. We propose an optimization strategy to simultaneously design the performance of layer-by-layer nanofiltration membrane modules and the separation process. This approach achieves overall optimal performance by extending the search space and thus exploiting synergies. Better separation performances at a lower cost as compared to conventional optimization strategies can be achieved. The key feature of this optimization framework is the integration of artificial neural networks. This machine-learning technique describes membrane performance as a function of its synthesis protocol. We optimize the design problem rigorously by a deterministic global nonlinear optimization method. Thus, this framework yields membrane synthesis protocols and membrane processes that are optimally tailored to the desired separation task. In a showcase, the simultaneous membrane synthesis and process optimization design achieve immediately favorable results with lower impurities at comparable costs. The process investment and operation costs are compared to a state of the art commercially available membrane for nanofiltration.

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Reverse Osmosis Network Rigorous Design Optimization

Cited by 12 publications

References 44 publications

Frontiers of Membrane Desalination Processes for Brackish Water Treatment: A Review

Frontiers of Membrane Desalination Processes for Brackish Water Treatment: A Review

Optimal Design of a Hydrolysis Sugar Membrane Purification System Using a Superstructure-Based Approach

Simultaneous rational design of ion separation membranes and processes

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