Optimization and Field Test of Scheduling Strategy for Sewage Mains Based on Pipe Redundancy Estimation
The integrated real-time scheduling of wastewater treatment plant(WWTP)and sewer network is a crucial approach to enhance the operational efficiency of urban drainage system.Based on model predictive control and water balance model,an optimization approach for the scheduling strategy of sewage mains was established to fulfill the demand of stable inflow of WWTP in the dry season.By utilizing high-density water level monitoring information,the pipeline redundant space was derived through spatial linear interpolation,and the flow rate of the pumping station in the next 24 hours was optimized by employing model predictive control,thereby making full use of the redundant space in the sewage mains and achieving the day and night peak regulation of the inflow of the WWTP.The method was tested in the field at Jiangbian WWTP and its upstream main pipe pumping station in Changzhou City,achieving a stable inflow of the WWTP for 79 consecutive hours.The fluctuations of inflow in the phase Ⅰ,Ⅱ,and Ⅲ,Ⅳ Projects of the WWTP could be controlled within±3％and±9％of the mean value respectively,and the daily minimum inflow increased by 7.6％(950 m3/h)compared to that before optimization.The results demonstrate that the method is feasible and effective.
drainage systemsewage mainmodel predictive controlfield test
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