On-line Hydraulic State Estimation in Urban Water Networks Using Reduced Models
Author(s)
Preis, Ami; Whittle, Andrew; Ostfeld, A.; Perelman, L.
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A Predictor-Corrector (PC) approach for on-line forecasting of water usage in an urban water system is presented and demonstrated. The M5 Model-Trees algorithm is used to predict water demands and Genetic Algorithms (GAs) are used to correct (i.e., calibrate according to on-line pressure and flow rate measurements) these predicted values in real-time. The PC loop repeats itself at each subsequent time-step with the forecasting model inputs being the corrected outputs of previous iterations, thus improving the model performances
over time. To meet the computational efficiency requirements of real-time hydraulic state estimation, the urban network model which is comprised of over ten thousand pipelines and nodes is reduced using a water system aggregation technique. The reduced model, which resembles the original system's hydraulic performances with high accuracy, simplifies the computation of the PC loop and facilitates the implementation of the on-line model. The developed methodology is tested against the real input data of an urban water distribution
system comprised of approximately 12500 nodes and 15000 pipes.
Date issued
2009-09Department
Massachusetts Institute of Technology. Department of Civil and Environmental EngineeringJournal
Integrating Water Systems: Proceedings of the Tenth International Conference on Computing and Control in the Water Industry 2009
Publisher
CRC Press
Citation
Preis, A. et al. "On-line Hydraulic State Estimation in Urban Water Networks Using Reduced Models." in Integrating water systems: proceedings of the tenth International Conference on Computing and Control for the Water Industry, CCWI 2009, Sheffield, UK, 1-3 September 2009, editors: Joby Boxall, Cedo Maksimovicc. CRC Press.
Version: Author's final manuscript
ISBN
9780415548519
0415548519
9780203864289
020386428X