Utilizing Hydraulic Model Based Optimization to Determine Prioritized Solutions to Accommodate Future Growth in Mill Creek Watershed

摘要

Johnson County Wastewater (JCW), located on the Kansas side of Kansas City, first applied genetical algorithm (GA) optimization in 2007. The pilot project for the Turkey Creek Basin was one of the first ever applications of this the technology for collection systems. The technology evolved significantly in the 10-years since it was first trialled by JCW. This paper summarizes key technology advancements and discusses how is was applied by JCW to the Mill Creek Watershed in 2017. The Mill Creek optimization utilizes extensive inflow and infiltration (I/I) pilot project results obtained by JCW to determine the cost-effective balance between conveance, storage, treatment and I/I reduction alternatives using formal optimization software, Optimizer WCS (product of Optimatics). Scenarios and sensitivity analyses were performed to determine how key planning assumptions affect the optimization results. Prioritization is applied using the optimization model to determine the sequence of project implentation that maximizes return on investment with respect to overflow reduction.