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Parameter uncertainty modelling in water distribution network models

Author
Perez, R.; Sanz, G.; Cuguero-Escofet, M.A.; Blesa, J.; Pep Cugueró Escofet
Type of activity
Presentation of work at congresses
Name of edition
CCWI 2015 -Computing and Control for the Water Industry
Date of publication
2015
Presentation's date
2015-09-02
Book of congress proceedings
CCWI 2015 - Computing and Control for the Water Industry
First page
583
Last page
592
Publisher
Elsevier
DOI
https://doi.org/10.1016/j.proeng.2015.08.911 Open in new window
Project funding
Control basado en la salud y la resiliencia de infraestructuras críticas y sistemas complejos (DPI2014-58104-R)
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/77292 Open in new window
http://www.sciencedirect.com/science/article/pii/S1877705815025813 Open in new window
URL
http://www.sciencedirect.com/science/journal/18777058/119/supp/C Open in new window
Abstract
The use of water distribution network (WDN) models is an extended practice [13]. Confidence on decisions taken upon such models depends highly on their accuracy [11]. The parameters uncertainty has to be defined in order to include it in the model. Some of the parameters in a network (e.g. pipes lengths and diameters) can be easily measured and their uncertainty can be calculated on a statistical basis [4]. Demands cannot be measured directly and they have to be estimated using other measurement...
Citation
Perez, R., Sanz, G., Cuguero, M.A., Blesa, J., Pep Cugueró Escofet. Parameter uncertainty modelling in water distribution network models. A: Computing and Control for the Water Industry. "CCWI 2015 - Computing and Control for the Water Industry". Leicester: Elsevier, 2015, p. 583-592.
Keywords
Uncertainty, demands, pressure measurements, water networks
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants