Author(s): G. Breyiannis; S. Varoutis; D. Valougeorgis; C. Papadimitriou
Linked Author(s):
Keywords: Pipe water networks; Modeling; Optimization; System identification
Abstract: An integrated algorithm is presented for the design, optimization and on-line health monitoring of water pipe networks. The design of the network is based on the iterative solution of the typical hydrodynamic conservation equations. The optimal size of the network components such as pipes, pumps and storage facilities is based on cost information and on design, operation and calibration parameters. The optimal configuration is found as a solution of a nonlinear optimization problem with constraints. The conditioning of the network is monitored using a Bayesian system identification methodology based on measured information from the field. It provides estimates of the most probable damage or malfunctioning scenarios and the uncertainties in such estimates. An optimized sensor location strategy is described to exploit, to the maximum extend possible, the available information from the measured data. The whole approach is integrated into a single open algorithm in the Matlab programming platform. In order to illustrate the developed integrated methodology, a case study network is solved simulating part of the municipal water distribution network of a major city in Greece.
Year: 2003