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Simulation-Optimization of a Patented Baffle Design with Parallel Computing on TRUBA

Kuzay, Mustafa; Nasyrlayev, Nazhmiddin; Demirel, Ender


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    <subfield code="a">&lt;p&gt;Treatment of surface waters in large cities has been emerged as a critical point of interest for governments in recent years with increasing clean water demand and development of energy intensive water treatment technologies such as ozone and ultraviolet. Raw water is mixed with the disinfectant in a multi-chambered contact tank at the last stage of the treatment procedure to remove viruses and pathogens from the water. An efficient contact system is required for the effective disinfection of water with less disinfectant and energy usage, whereas conventional mixing systems suffer from low mixing and high energy requirements due to the recirculation effects and short-circuiting occurred inside the chambers. A slot-baffle design has been invented in order to improve mixing efficiency of the system by increasing interaction between two neighboring chambers. Although slot-baffle design has been proved to significantly increase the efficiency of a multi-chambered contact system in the literature, geometrical properties of the design have not been optimized yet since an intense computational resource and time are required for the optimization of the design. In this case study, we aim at optimizing the patented design with an augmented simulation-optimization framework developed by DSTECH team.&lt;/p&gt;</subfield>
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