Computational fluid dynamics analysis for smart control of water supply

Abstract

Abstract This work investigated the partition walls or baffles’ effects on hydraulic parameters and water retention time in a reservoir. According to this aim, the water system was equipped with remote sensing (RS), networked sensors, advanced modems, and data loggers. The study showed how to control hydraulic parameters by the Internet of things and RS. The higher retention time led to the probability growth of rebar oxidation in concrete in the presence of chlorine and increased the possibility of water loss. This work also showed how to decrease the probability of water leakage in reservoirs. The computational fluid dynamics analysis results showed that the two baffles case led to the emergence of three eddy currents in the three zones created. The better fluid interpenetration caused the reduction in retention time. In the areas where the vortex was formed, the number of eddy currents decreased and the retention time increased. Regression analysis showed that the P value was 0.998 and 0.977 for the inlet flow and outlet flow for the reservoir, respectively (two baffles case perpendicular to the flow direction). The curve estimation showed that the power function had a suitable correlation on the scatter diagram and with the best curve fit.