Effect of membrane performance including fouling on cost optimization in brackish water desalination process
Introduction
Membrane desalination is an energy intensive process where most of the energy is being consumed to supply the necessary operating pressure. It has been reported that high pressure pumps are responsible for more than 40% of the total expenditures of membrane desalination plant (Subramani et al., 2011). In terms of power consumption, pumps consumed as much as 80% of the overall electricity supplied to desalination plant (Subramani et al., 2011). However, technological advancement in desalination process such as energy recovery devices, efficient design and operation of desalination plant managed to cut down the energy consumption from 30 kWh/m3 in 1979 to around 3.9 kWh/m3 today. Furthermore, with the most recent developments, it has been demonstrated that the energy consumption by seawater reverse osmosis (SWRO) desalination process can be reduced to roughly 2.0 kWh/m3 (Chang et al., 2008). Although the energy consumption of SWRO desalination has been substantially reduced, it is still considerably higher than conventional surface water treatment technologies. Since reducing the energy consumption is critical for lowering the desalination water costs, consideration should be given in using brackish water with lower osmotic pressure or in selecting membrane with higher rejection but at lower operating pressure (Chang et al., 2008, Cobry et al., 2011).
Brackish water contains much lesser dissolved mineral salts which indicate the operating pressure for the membrane process can be lowered down significantly, as compared to seawater desalination process. This opens the opportunity for nanofiltration (NF) membrane to be used in brackish water treatment process, since NF membrane offers higher water production (permeate) while operating at lower pressure compared to reverse osmosis (RO) membrane. Higher production rate also reflects the chance to reduce energy consumption and increase the economic values of the desalination plant. Theoretically, the application of NF membrane in brackish water desalination process would be favorable due to its advantages over RO membrane as aforementioned (Ang et al., 2014). However, this comes at the expense of lower membrane salt rejection capability as high permeability membrane normally has high salt permeability too (Shrivastava et al., 2015). In other words, further treatment is required to get the permeate TDS concentration down to the recommended range. This might incur extra costs for the additional treatment process and offset the benefit of high flux performance. The cost comparison study among different types of NF and RO membranes for brackish water desalination has been limited and this information is required to know to what extent the NF membrane is economically preferable than RO membrane. Such comparison is also important to clarify the arguments about the use of high permeability membrane will not result in significant energy and cost savings (Shrivastava et al., 2015).
Economic evaluation can provide the necessary cost comparison among different membranes and also the required information before decision of new investment on the membrane treatment plant can be made (Van der Bruggen et al., 2001, Suárez et al., 2015). The cost of membrane water treatment plant varies and is dependent on the production capacity, type of treatment involved, design criteria, climate condition, characteristics of land and building, etc. Membrane flux or the production capacity is the most important aspect for the design of membrane filtration plant as it is a direct measure of productivity, operating pressure (energy requirements) and amount of membrane required (membrane area) (Wiesner et al., 1994, Verberne and Wouters, 1993, Sethi and Wiesner, 2000). Hence, a cost model which utilizes simple experimental results such as flux and rejection yet capable to provide acceptable cost estimation is desirable for the selection of appropriate membrane of a new water treatment plant.
Various cost models have been developed to provide estimation of total costs for planning, initial screening purposes and to better understand the impacts of different designs and operating conditions on membrane treatment costs (Van der Bruggen et al., 2001, Sethi and Wiesner, 2000, Bick et al., 2012, Guerra and Pellegrino, 2012, Macedonio et al., 2007, Mohammad et al., 2007). Among the available models, Verberne Cost Model will be of particular interest since the equations involved were based on project practical data and it has been successfully employed in estimating the cost of membrane water treatment process based on simple experimental results (Van der Bruggen et al., 2001, Mohammad et al., 2007). However, Verberne Cost Model does not take membrane fouling propensity into consideration. It is widely known that fouling plays a vital role in affecting the overall membrane performance and this will have significant impact on the capital and operating costs. Furthermore, as mentioned above, energy consumption and desalinated water costs are particularly important where both are heavily dependent on membrane recovery rate and difficult to be justified by Verberne Cost Model. Considering Verberne Cost Model alone is not enough to provide a comprehensive evaluation of membrane treatment process, the membrane performance, fouling propensity and energy consumption also have to be included during the selection of membrane for the water treatment plant.
This study attempted to utilize Verberne Cost Model in predicting the total costs of membrane brackish water desalination processes using different NF and RO membranes. Economic evaluation from the cost model will be combined with membrane fouling propensity and performance for the selection of appropriate membrane to replace the typical brackish water RO membrane with the aim to save costs. In addition, energy consumption, represented by osmotic pressure differential (OPD) and specific energy consumption (SEC) was adopted to assist in the determination of optimal membrane recovery rate based on the water cost calculated from Verberne Cost Model. Overall, a comprehensive evaluation including Verberne Cost Model supported by membrane performance, fouling propensity and energy consumption will be carried out to assess and decide which membrane performs the best and suitable for this brackish water desalination process. The rationales behind the use of high permeability membrane and its impact on energy and cost savings will also be evaluated.
Section snippets
Chemicals and membranes
All chemicals used are analytical grade, unless stated otherwise. Humic acid (HA), ferric chloride (FeCl3), kaolin, calcium chloride (CaCl2·2H2O), sodium bicarbonate (NaHCO3), and sodium chloride (NaCl) were purchased from Sigma–Aldrich (Malaysia). Ultrapure (UP) water with a quality of 18 MΩ cm−1 was used for all solution preparation. Membrane used in this study can be divided into two categories; NF membranes (NF 270, NF 90 and TS 80) and RO membranes (XLE and BW 30). All of the membranes were
Assessment of membrane performance and fouling propensity
Consistency in membrane performance and fouling are two important aspects to consider when operating a membrane filtration plant. Table 5 presents the changes in solution pH, zeta potential, UV254 absorbance and turbidity after the coagulation process for W1 and W2 solutions. It can be seen that the particles zeta potential in both solutions increased moderately after coagulation processes. Such increment might affect the membrane fouling propensity as charge repulsion is one of the important
Conclusion
This study compared the economic feasibility of NF and RO membranes for brackish water desalination process to save costs and replace the typical brackish water RO membrane. It can be seen that Verberne Cost Model assisted by SEC, OPD and assessment of membrane performance and fouling propensity can be used to determine the appropriate membrane in brackish water desalination process. With that, NF 90 and XLE membranes can be used as alternative membrane for low TDS (400 ppm) brackish water since
Acknowledgements
This paper was made possible by NPRP grant #[5-1425-2-607] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the author[s]. The authors also wish to acknowledge the Ministry of Education Malaysia for sponsoring W.L. Ang’s postgraduate study via MyBrain.
References (30)
- et al.
Hybrid chitosan/FeCl3 coagulation–membrane processes: performance evaluation and membrane fouling study in removing natural organic matter
Sep. Purif. Technol.
(2015) - et al.
Hybrid coagulation–NF membrane processes for brackish water treatment: effect of pH and salt/calcium concentration
Desalination
(2016) - et al.
Energy-efficient reverse osmosis desalination: effect of retentate recycle and pump and energy recovery device efficiencies
Desalination
(2015) - et al.
Energy-efficient reverse osmosis desalination process
J. Membr. Sci.
(2015) - et al.
Comprehensive experimental studies of early-stage membrane scaling during nanofiltration
Desalination
(2011) - et al.
Flux decline during nanofiltration of naturally-occurring dissolved organic matter: effects of osmotic pressure, membrane permeability, and cake formation
J. Membr. Sci.
(2004) - et al.
Effects of pH and salt on nanofiltration—a critical review
J. Membr. Sci.
(2013) - et al.
Integrated membrane systems for seawater desalination: energetic and exergetic analysis, economic evaluation, experimental study
Desalination
(2007) - et al.
Modelling the effects of nanofiltration membrane properties on system cost assessment for desalination applications
Desalination
(2007) - et al.
Energy efficiency breakdown of reverse osmosis and its implications on future innovation roadmap for desalination
Desalination
(2015)
Cost assessment of membrane processes: a practical example in the dairy wastewater reclamation by reverse osmosis
J. Membr. Sci.
Energy minimization strategies and renewable energy utilization for desalination: a review
Water Res.
Humic substances fouling in ultrafiltration processes
Desalination
Induced organic fouling with antiscalants in seawater desalination
Desalination
Effect of membrane chemistry and coating layer on physiochemical properties of thin film composite polyamide RO and NF membranes: II. Membrane physiochemical properties and their dependence on polyamide and coating layers
Desalination
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