Data management for large-scale water-distribution optimization systems

This paper presents a technique to efficiently process data to supply the necessary in-puts to a large-scale water-distribution optimization model. The overall goal of this project is to develop an on-line optimal control strategy for a large municipal and industrial (M&I) water distribution system. That is, which pumps should be turned on to meet the demand and minimize cost? One of the problems in handling a large water-distribution system is managing the large database required for the optimization model. This paper presents an efficient algorithm to generate, store, and access the necessary data. Some of the characteristics of the method are illustrated through an example of a water-distribution system.