Adaptive Search Optimization in Reducing Pump Operating Costs

Abstract

This paper proposes a method called the adaptive search algorithm to optimize a water supply system. The adaptive search algorithm is a discrete optimization search model that selects which pumps to switch on or off using a combination of influence coefficients and pipe network pressure readings. Pressure readings at strategic points in the pipe network are monitored. When the pressure increases or drops beyond the allowable values, the pump that has the greatest influence and delivers water at least cost is selected to correct the pressure by either turning it on or off as required. This is an initial feasible solution. The algorithm iterates between the optimization model and the simulation model (KYPIPE) until an optimal solution is found. One of the advantages of the adaptive research algorithm is its speed. It reaches a solution after two or three iterations, which qualifies it for real-time control of the water delivery system. The adaptive research algorithm is applied to the water distribution system of Memphis, Tenn., and shows a promise of significant savings in water delivery costs.