Combined optimization of pipes and control valves in water distribution networks

2005 ◽  
Vol 43 (6) ◽  
pp. 668-677 ◽  
Author(s):  
Giuseppe Pezzinga ◽  
Giuseppe Pititto
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Control Valves ◽  
And Control

Hybrid Simulator for Water Distribution Networks with Control Valves

2019 ◽  
Vol 145 (10) ◽  
pp. 06019009
Author(s):  
Nikolai. B. Gorev ◽  
Vyacheslav N. Gorev ◽  
Inna F. Kodzhespirova ◽  
Igor A. Shedlovsky ◽  
P. Sivakumar
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Control Valves ◽  
Hybrid Simulator

scholarly journals Optimizing the dynamic response of pressure reducing valves to transients in water networks

2019 ◽  
Vol 68 (5) ◽  
pp. 303-312
Author(s):  
Khaled Zaki ◽  
Yehya Imam ◽  
Amgad El-Ansary
Keyword(s):  
Dynamic Response ◽  
Water Distribution ◽  
Pressure Fluctuations ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Transient Pressure ◽  
Excessive Pressure ◽  
Shuffled Complex Evolution ◽  
Transient Events ◽  
And Control

Abstract Pressure reducing valves (PRVs) are typically used to regulate excessive pressure in water distribution networks. During transient events, the dynamic response of PRVs may adversely affect pressure fluctuations in distribution networks. In this study, the dynamic response of PRVs was analyzed by developing a numerical model that coupled an existing water-hammer model and a two-parameter dynamic PRV model. PRV parameters were calibrated, and the model was validated using previous experimental observations. The model was then used to study the effect of PRV dynamics during transient events in a distribution network. To optimize the rate of PRV opening and closure and control its dynamic response, the model was interfaced with an optimization algorithm based on shuffled complex evolution. The applied objective function gave PRV parameters that accelerated damping of the transient pressure waves and minimized the root-mean-square deviation from post-transient steady pressure at all nodes in the network. The results of this study indicate the importance of accounting for PRV response when simulating transients in water distribution networks. This study also highlights the need for PRV manufacturers to include in their product catalogs dynamic PRV parameters for use in transient analysis.

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