Genetic Algorithm Optimization of Operational Costs and Greenhouse Gas Emissions for Water Distribution Systems

Abstract

A genetic algorithm (GA) model for water distribution system (WDS) operation has been developed, optimizing pumping by time-based scheduling and tank trigger levels. An important focus was the minimization of operational greenhouse gas (GHG) emissions, in conjunction with operational economic cost, to provide a comprehensive solution to the pumping problem. Various possible future energy scenarios have been investigated to determine the effect of varying GHG emissions factors on the optimal operational decisions for WDSs. The interface developed in this research allows users to apply the optimization algorithm to a variety of water networks with full customization of inputs and parameters.