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“Computational Civil Engineering - "Intersections" International Journal

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“Computational <strong>Civil</strong> <strong>Engineering</strong> 2005”, <strong>International</strong> Symposium 281Figure 3. Legend: blue line – random choosing of BS; black line – imposing of BS4. CONCLUSIONS1. In large water distribution networks and with tightening problems theintroduction of some re-chlorination /booster - stations are a must in order to assurethe necessary chlorine for the transported water biostability, with minimumchlorine consumption.2. For a given network (configuration, demands etc) it is followed the minimizationof total chlorine quantity injected in 24 hours for variable demands hour by hour(extended-period to 24 hours).3. In order to realize the booster disinfection optimization a large numbers of nodes(but limited at 1/4 from total numbers of nodes) are chosen that may candidate atobtaining the disinfection with minimum chlorine consumptions.4. With a personal program the nodes that assure the minimization of total chlorineinjection in the network are determined by a number of simulations using both arandom procedure and imposed one.5. It is presented an example from which results that the random procedureconducts at a location of booster stations with a reduction of the total chlorineconsumption.

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