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V. G. Tzatchkov ;Ingeniería e Investigación 2012, 32 3

Author: V. H. Alcocer

Source: http://www.redalyc.org/


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Ingeniería e Investigación ISSN: 0120-5609 revii_bog@unal.edu.co Universidad Nacional de Colombia Colombia Alcocer, V.
H.; Tzatchkov, V.
G. Neyman-Scott-based water distribution network modelling Ingeniería e Investigación, vol.
32, núm.
3, diciembre, 2012, pp.
32-36 Universidad Nacional de Colombia Bogotá, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=64324939007 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative INGENIERÍA E INVESTIGACIÓN VOL.
32 No.
3, DECEMBER 2012 (32-36) Neyman-Scott-based water distribution network modelling Modelación de redes de agua potable basado en el proceso de Neyman-Scott V.
H.
Alcocer1, V.
G.
Tzatchkov2 ABSTRACT Residential water demand is one of the most difficult parameters to determine when modelling drinking water distribution networks.
It has been proven to be a stochastic process which can be characterised as a series of rectangular pulses having set intensity, duration and frequency.
Such parameters can be determined using stochastic models such as the Neyman-Scott rectangular pulse model (NSRPM).
NSRPM is based on resolving a non-linear optimisation problem involving theoretical moments of the synthetic demand series (equiprobable) and of the observed moments (field measurements) statistically establishing the measured demand series.
NSRPM has been applied to generating local residential demand.
However, this model has not been validated for a real distribution network with residential demand aggregation, or compared to traditional methods (which is dealt with here).
This paper compares the results of synthetic stochastic demand series (calculated using NSRPM applied to determining pressure and flow rate) to results obtained using traditional simulation methods using...





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