1 research outputs found
Predictive Real-Time Control Optimization of a Stormwater Management System
An optimization model of a stormwater pond is developed to improve the
performance of the system in terms of water quantity and quality. Nowadays,
stormwater management systems play an important role in mitigating the impacts
of urbanization on the natural hydrological cycle. These systems can be managed
in such a way that they meet smart city needs. An automated dynamically managed
system that can adapt itself to ever-changing environmental conditions can be
modeled using a mathematical optimization approach. Hence, a Predictive
Real-Time Control (PRTC) approach is proposed in this paper to optimize the
performance of stormwater management basins in terms of minimizing hydraulic
shocks during wet periods. Then some generalized rules are designed to control
the sedimentation of trapped water in the pond during dry periods to improve
the quality of water discharged to the receiving stream. The combination of
these two approaches provides a real-time improved performance in comparison to
the static strategy.Comment: Presented at IEEE-ICCA 2019 conferenc