Dynamic management of water distribution networks based on hydraulic performance analysis of the system

2003 ◽  
Vol 3 (3) ◽  
pp. 305-305 ◽  
Author(s):  
M. Tabesh ◽  
A. Zia
2013 ◽  
Vol 13 (5) ◽  
pp. 1281-1288 ◽  
Author(s):  
A. Mani ◽  
M. Tabesh ◽  
M. R. Zolfaghari

Water distribution networks are one of the most important infrastructures in urban areas. Evaluating their real hydraulic performance after being damaged by earthquake loadings is crucial for future planning. In this study, pipeline damage caused by seismic wave propagation is modelled using relationships obtained from 1994 Northridge earthquake. Damaged network is hydraulically analysed using the head driven simulation method (HDSM). This analysis helps to obtain actual performance of the water distribution network damaged by seismic waves, without the usual need to handle negative nodal pressures generated from demand driven simulation method. Pressure performance indicator and the total leakage of the network are used as indicators to show the hydraulic performance of the system. Comparison of the damages from different seismic scenarios and the hydraulic indicators of the network, illustrate the probable condition of the water distribution network after the earthquake. The proposed methodology is applied on a reservoir zone of the Tehran water distribution network. The results indicate the degree of damage in terms of pipe burst and leak points in this network.


Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 584
Author(s):  
Ina Vertommen ◽  
Karel van Laarhoven ◽  
Peter van Thienen ◽  
Claudia Agudelo-Vera ◽  
Tjakko Haaijer ◽  
...  

The design of network blueprints (ideal design of water distribution networks taking into account the existing infrastructure) is optimized considering the minimization of costs while satisfying the required pressure and flow velocities. The optimal transition from the existing infrastructure towards the blueprint is described by the minimization of pipe failures or maximization of hydraulic performance and the number of construction sites, where old pipes are replaced by new ones, in each transition phase. Both problems are solved with Gondwana. An application to the network of Helmond-Mierlo (The Netherlands) shows that the costs for the optimized blueprint are only 64% of those from the currently existing infrastructure, while the hydraulic performance is improved. The optimized transition shows that a larger number of intervention sites allows for a higher reduction of pipe failures and a better hydraulic performance of the network.


2003 ◽  
Vol 3 (1-2) ◽  
pp. 95-102 ◽  
Author(s):  
T. Massoud ◽  
A. Zia

In this paper the hydraulic performance of water distribution networks is evaluated by assessing the head values in demand points and velocities in pipes. To obtain the hydraulic parameters a head-driven simulation method is used. In this method, nodal outflows are not fixed and vary with nodal heads. Considering the possibility of a range of demand variations and mechanical and hydraulic failures in the system, nodal heads and pressure dependent outflows are obtained. Then, by using a mathematical function, the performance of the system is realistically evaluated. As expected, the level of service in the system is decreased when head and velocity values are out of the standard ranges. Also, the reliability of a water distribution network is calculated using the ratio of the pressure-dependent outflows to the demand values considering the probability of pipe failures. Comparing the level of service index and reliability applications on a test network, it can be concluded that the reliability method is not sensitive to high-pressure values in the system. However, in this situation the performance index shows a lower level of service in the network. This means that high reliability values guarantee a good connectivity and enough pressure to satisfy the required nodal outflows, although pressure values higher than the standard codes, which lead to more leaks and bursts, are not acceptable in water supply systems. Therefore, the existing definitions of reliability are not comprehensive enough to realistically evaluate performance of the system. Using the level of service index and the head-driven simulation method, the network performance under different normal and abnormal conditions can be appropriately evaluated for water companies.


Author(s):  
James Northwood

The Intergovernmental Panel on Climate Change (IPCC) has forecast higher mean air temperatures for the mid-latitude region of North America. Studies have shown a strong positive correlation between temperature and municipal water demand. Warmer air temperatures in the future have the potential to increase municipal water demand above levels forecast without climate change considerations. The predicted increase in mean temperature and the onset of hotter and dryer summer weather may create challenges for water providers in the future. Without appropriate network upgrades, higher water demands may degrade the hydraulic performance of existing systems. This creates a need to characterize the impact of higher temperatures on peak water demands and on the hydraulic performance in water distribution networks. The aim of the research is to begin to understand the impact of higher temperatures on nodal demands and pressures in water distribution networks. The sensitivity of municipal water demand to an increase in air temperature is established through previous climate adaptation research completed for the geographical region of central Canada. Results indicate that without adaptation, a 2-4 °C temperature increase causes mean pressure head to fall below the acceptable minimum and produces large uncertainties in pressure head under maximum hour demand (MHD) and maximum day demand (MDD) + fire design conditions in the Anytown network. The combination of low mean pressure head and a high coefficient of variation of pressure head increases the probability of hydraulic failure in the Anytown network. Adaptation strategies are presented as ways to hedge the effects of a warming climate in the Anytown network


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