Optimal Location of Pump as Turbines (PATs) in Water Distribution Networks to Recover Energy and Reduce Leakage

2017 ◽  
Vol 31 (15) ◽  
pp. 5043-5059 ◽  
Author(s):  
Oreste Fecarotta ◽  
Aonghus McNabola
2017 ◽  
Vol 18 (1) ◽  
pp. 318-332 ◽  
Author(s):  
Omid Bozorg-Haddad ◽  
Milad Latifi ◽  
Atiyeh Bozorgi ◽  
Mohammad-Mehdi Rajabi ◽  
Seyed-Taghi Naeeni ◽  
...  

Abstract Optimizing the design and operation of urban water distribution networks (WDNs) is a complex, nonlinear problem. The optimization of WDNs can be performed for the pumping schedule, the location and elevation of reservoirs, the physical characteristics of pipes, and the placement of pressure-reducing valves, among other objectives. This study applies the anarchic society optimization (ASO) algorithm to find the optimal location and elevation of auxiliary tanks in urban water networks. The ASO is validated with mathematical benchmark functions, and is implemented to determine the location and elevation of auxiliary tanks in two urban water networks. The fuzzy reliability index for urban water network ranges between 74 and 79%, which is close to the global optima. The ASO exhibited better performance optimizing the reliability of WDNs than the genetic algorithm.


2011 ◽  
Vol 183-185 ◽  
pp. 868-872
Author(s):  
Xia Li ◽  
Guo Jin Li ◽  
Xin Hua Zhao ◽  
Li Zhang

In recent years, the SCADA (supervisory control and data acquisition) systems are applied widely for water distribution networks, where the auto-control valves are used to reduce the excessive water pressure of each node for further leakage control. In this paper, first the existing optimal location models of valves are briefly introduced, whose shortcomings are proposed. Then a new method based on direct hydraulic analysis theory of the mass conservation of nodes and the energy conservation of loops is available for optimal location of auto-control valves. Finally taking the water network of Tianjin Port Free Trade Zone as an example, valve location problem is illustrated, which shows the feasibility of the method.


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