Water Journal : Water Journal September 2015
september 2015 water 51 Feature article The design (shown in Figure 6) included ferric chloride and periodic sodium hypochlorite dosing, lamella clarification, dual media filtration and sodium bisulfite dosing. The membrane with the highest rejection was also modelled at two different vessel configurations, one with a design flux of 16.1 lmh and the other at 14.6 lmh. The results from seven RO membrane types were exported into Excel, shared by team members and compared (as shown in Figure 7) for effectiveness. As a result a suitable membrane was selected for detailed design quickly. MeMbrane ModellIng – successful outcoMes The conclusions on membrane selection for both RO and NF scenarios were reached in a matter of hours, while considering the impact of the entire process. AqMB was able to size the vessel array, predict scaling potential, oxidation potential, water quality and system design parameters for all conditions within the feedwater envelope. Errors encountered during modelling were clearly highlighted and a peer review was possible within the platform before finalising the process design. No other platform allows comparison of different membranes to be conducted in parallel on a single flowsheet within an entire integrated process design package. beyond MeMbrane ModellIng Opportunities for the technology lie beyond membrane modelling. The platform is available anywhere with an internet connection. This means consultants, designers and operators have the ability to amend concept designs or view model results while in the field, validating performance in real time as sampling and quality checks occur. The multi-seated licence model of AqMB allows entire teams to access concept designs and backlogged results from different test scenarios in one place. This is advantageous for bid consortiums or engineering teams working across different organisations, locations and time zones. It encourages collaboration, reduces miscommunication and allows issues to be identified and rectified quickly. The software reduces the likelihood of licence breaches with environmental regulators and compliance costs associated with running advanced water treatment plants. It does this by projecting qualitative and quantitative properties of process streams, which may be released to the environment. The ability to produce quantitative result outputs of all streams in a plant design, at the conceptual stages of the project, also brings substantial knowledge benefits in relation to plant operability and operational costs. Issues such as potential scaling, membrane and resin effectiveness, and downtime due to frequency of cleaning and regeneration cycles, all present commercial and technical benefits to industry in effective asset management and operational planning. wJ the authors Darren szczepanski (email: darren@ saltwatersolutions.com.au) is a Chemical Engineer with over 15 years of process design and project experience with membrane, resin, electrolytic and thermal technologies. His design, commissioning and plant troubleshooting experience includes installations for coal seam gas water, acid mine drainage, seawater, industrial wastewater, pharmaceutical and cooling tower blowdown applications. Dr matthew brannock (email: matthew@ saltwatersolutions.com.au) is a Chemical Engineer specialising in water treatment plant design and brine management. He has extensive experience in using chemical speciation and computational fluid dynamic models to simulate water and wastewater treatment processes. Figure 7. Quantitative results returned from running the Aqmb plant/feed scenario for rO membrane types compared.
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