Implementation of pressure reduction valves in a dynamic water distribution numerical model to control the inequality in water supply

The analysis of water distribution networks has to take into account the variability of users' water demand and the variability of network boundary conditions. In complex systems, e.g. those characterized by the presence of local private tanks and intermittent distribution, this variability suggests the use of dynamic models that are able to evaluate the rapid variability of pressures and flows in the network. The dynamic behavior of the network also affects the performance of valves that are used for controlling the network. Pressure reduction valves (PRVs) are used for controlling pressure and reducing leakages. Highly variable demands can produce significant fluctuation of the PRV set point, causing related transient phenomena that propagate through the network and may result in water quality problems, unequal distribution of resources among users, and premature wear of the pipe infrastructure. A model was developed in previous studies and an additional module for pressure control was implemented able to analyze PRVs in a fully dynamic numerical framework. The model was demonstrated to be robust and reliable in the implementation of pressure management areas in the network. The model was applied to a district of the Palermo network (Italy). The district was monitored and pressure as well as flow data were available for model calibration.

[1]  E Todini,et al.  A more realistic approach to the “extended period simulation” of water distribution networks , 2003 .

[2]  Simon L. Prescott,et al.  Improved Control of Pressure Reducing Valves in Water Distribution Networks , 2008 .

[3]  Orazio Giustolisi,et al.  Algorithm for Automatic Detection of Topological Changes in Water Distribution Networks , 2008 .

[4]  Goffredo La Loggia,et al.  A composite indicator for water meter replacement in an urban distribution network , 2012 .

[5]  Angus R. Simpson,et al.  Valve induced transients influenced by unsteady pipe flow friction , 2001 .

[6]  GABRIELE FRENI,et al.  IMPLEMENTATION OF PRESSURE REDUCTION VALVES IN A DYNAMIC WATER DISTRIBUTION SYSTEM NUMERICAL MODEL , 2013 .

[7]  B. Brunone,et al.  Automatic Control Valve–Induced Transients in Operative Pipe System , 1999 .

[8]  Luigi Berardi,et al.  Generalizing WDN simulation models to variable tank levels , 2012 .

[9]  Chyr Pyng Liou,et al.  Filling of Pipelines with Undulating Elevation Profiles , 1996 .

[10]  A. Vardy,et al.  TRANSIENT TURBULENT FRICTION IN SMOOTH PIPE FLOWS , 2003 .

[11]  Orazio Giustolisi,et al.  Considering Actual Pipe Connections in WDN Analysis , 2010 .

[12]  G. La Loggia,et al.  Analysis of the impact of intermittent distribution by modelling the network-filling process , 2011 .

[13]  Angus R. Simpson,et al.  Systematic Evaluation of One-Dimensional Unsteady Friction Models in Simple Pipelines , 2006 .

[14]  C. M. Fontanazza,et al.  A model of the filling process of an intermittent distribution network , 2010 .

[15]  Enrique Cabrera,et al.  Integrated Water Meter Management , 2010 .

[16]  Orazio Giustolisi,et al.  Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks , 2008 .

[17]  R. Cobacho,et al.  PRIVATE WATER STORAGE TANKS: EVALUATING THEIR INEFFICIENCIES , 2008 .

[18]  C. M. Fontanazza,et al.  Evaluation of the apparent losses caused by water meter under-registration in intermittent water supply. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[19]  Simon L. Prescott,et al.  Dynamic modeling of pressure reducing valves , 2003 .

[20]  F. Cubillo.  Impact of end uses knowledge in demand strategic planning for Madrid , 2005 .

[21]  J. Hardoy,et al.  Environmental Problems in an Urbanizing World: Finding Solutions in Cities in Africa, Asia and Latin America , 2001 .