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174  Membranes for lndustrial  Wastewater Recovery and Re-use


          information a mass balance of the solutes is necessary. This is considerably more
          complex than the water balance solution, which is obtained analytically using
          Equation (2.22). because of the interrelationship between TMP, 0 and n, and the
          complicating influence of concentration polarisation (Section 2.2.3). This means
          that the impacts of the individual design parameters on operation (Table 4.1) are
          largely  interdependent,  and  that  the  array  design  solution  is  then  only
          obtainable iteratively.
            To enable these array design calculations to be carried out,  RO design software
          packages are available for specific  RO membrane products. Such software enables
          the designer to simulate operation of  any RO array under any set of  operating
          conditions. These packages (Table 4.2) are intended to allow the user to produce
          an RO array design from base information, such as the required product flow
          rate, overall process conversion and feedwater characteristics.  The membrane
          suppliers  offer  their  own  RO  software  to  the  (prospective)  customer  gratis.
          Specific software from universities is also available, or else is under development,
          at institutions  such as RWTH Aachen  and Saarland University  in Germany,
          University of Wales Swansea in the UK and the European Institute of Membranes
          at the University of Montpellier in France. Some of these groups are developing
          software for nanofiltration.
            The starting point for all design packages is the feedwater composition. Whilst
          data for the principal ions may be available, this is not always the case for some
          scalant  components, such  as barium  or  silicate.  These  ions  form  extremely
          insoluble precipitates, such that they may be close to saturation even at very low
          concentrations.  Most  feedwaters,  and  industrial effluents  in  particular,  are
          subject to temporal fluctuations in composition, and this has to be accounted for


          Table 4.1  RO design parameters
          Parameter            Impactd
          Feedwater composition   Osmotic pressure, scaling, membrane stability, permeate quality
          Feedwater pH         Scaling. membrane stability
          Feedwater temperature   Flux. membrane stability
          Permeate flux        Transmembrane pressure, concentration polarisation, fouling,
                               pressure loss
          Cross-flow velocity   Concentration polarisation. fouling. pressure loss
          Membrane material    Membrane stability, permeate quality, fouling

           a Primary or most important in bold type.

           Table 4.2  Relevant RO design software
           Company                    Membrane name               RO software

          Dow                         Filmtec                     Rosa
          Hydranautics                Hydranautics                Rodesign, Rodata
          Koch                        Koch (Fluid Systems)        Ropro, Costpro
           Osmonics                   Osmonics, Desal             WinFlows
          Toray. Ropur. Trisep        Toray. Ropur. Trisep        WinCarol, 2p flows
   200   201   202   203   204   205   206   207   208   209   210