Browse by author
Lookup NU author(s): Dr Zhengfu Rao
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Haifa-A is the first of two case studies relating to the POWADIMA research project. It comprises about 20% of the city's water-distribution network and serves a population of some 60,000 from two sources. The hydraulic simulation model of the network has 126 pipes, 112 nodes, 9 storage tanks, 1 operating valve and 17 pumps in 5 discrete pumping stations. The complex energy tariff structure changes with hours of the day and days of the year. For a dynamically rolling operational horizon of 24 h ahead, the real-time, near-optimal control strategy is calculated by a software package that combines a genetic algorithm (GA) optimizer with an artificial neural network (ANN) predictor, the latter having replaced a conventional hydraulic simulation model to achieve the computational efficiency required for real-time use. This paper describes the Haifa-A hydraulic network, the ANN predictor, the GA optimizer and the demand- forecasting model that were used. Thereafter, it presents and analyses the results obtained for a full (simulated) year of operation in which an energy cost saving of some 25% was achieved in comparison to the corresponding cost of current practice. Conclusions are drawn regarding the achievement of aims and future prospects. © IWA Publishing 2007.
Author(s): Salomons E, Goryashko A, Shamir U, Rao Z, Alvisi S
Publication type: Article
Publication status: Published
Journal: Journal of Hydroinformatics
Year: 2007
Volume: 9
Issue: 1
Pages: 51-64
Print publication date: 01/01/2007
ISSN (print): 1464-7141
ISSN (electronic): 1465-1734
Publisher: IWA Publishing
URL: http://dx.doi.org/10.2166/hydro.2006.017
DOI: 10.2166/hydro.2006.017
Altmetrics provided by Altmetric
