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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2012
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| Online Access: | https://www.redalyc.org/articulo.oa?id=64324939007 |
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Table of Contents:
- Neyman-Scott-based water distribution network modelling V. H. Alcocer V. G. Tzatchkov Ingeniería Scott Neyman network modeling Residential water demand Rectangular Pulse (NSRP) model 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, dura-tion 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 de-mand 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 the curve of hourly variation in demand and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as study area. 2012 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64324939007 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.3 Vol.32