TECHNICAL PAPERS
May 1, 2009

Optimal Location and Control of Pressure Reducing Valves in Water Networks

Publication: Journal of Water Resources Planning and Management
Volume 135, Issue 3

Abstract

This paper addresses the problem of optimal pressure management in water distribution systems through the introduction and regulation of pressure reducing valves. Reduction in pressure is aimed at controlling water leakages which, being in some cases a high proportion of the total volume supplied, are nowadays one of the major concerns for water utilities. The determination of the number, location, and setting of such valves is formulated as a two criteria optimization problem and is solved with multiobjective genetic algorithms. In particular, the first criterion is represented by the minimization of the number of valves, and the second is the minimization of the total leakage in the system, when maintaining the required pressure at each node. The great advantage of the multiobjective approach resides in the fact that, in one run, several trade-off alternatives are found, thus providing the set of the optimal solutions with a different level of compromise between the conflicting objectives. At the same time, data necessary for practical choice and operation of pressure reducing valves may be determined.

Get full access to this article

View all available purchase options and get full access to this article.

References

Alegre, H., et al. (2006). Performance indicators for water supply services, 2nd Ed., IWA, London.
Alonso, J. M., et al. (2000). “Parallel computing in water network analysis and leakage minimization.” J. Water Resour. Plann. Manage., 126(4), 251–260.
Cheung, P. B., Reis, L. F. R., Formiga, K. T. M., Chaudry, F. H., and Ticona, W. G. C. (2003). “Multiobjective evolutionary algorithms applied to the rehabilitation of a water distribution system: A comparative study.” Evolutionary Multi-Criterion Optimization (EMO) 2003, C. M. Fonseca et al., eds., LNCS 2632, Springer, New York, 662–676.
Coello Coello, C. A., Van Vendhuilzen, D. A., and Lamont, G. B. (2002). Evolutionary algorithms for solving multi-objective problems, Kluwer Academic, Dordrecht, The Netherlands.
Dandy, G. C., and Engelhardt, M. O. (2006). “Multi-objective trade-offs between cost and reliability in the replacement of water mains.” J. Water Resour. Plann. Manage., 132(2), 79–88.
Dandy, G. C., Simpson, A. R., and Murphy, L. J. (1996). “An improved genetic algorithm for pipe network optimisation.” Water Resour. Res., 32(2), 449–458.
Deb, K. (2001). Multi-objective optimization using evolutionary algorithms, Wiley, New York.
Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2002). “A fast and elitist multi-objective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput., 6(2), 182–197.
Farley, M., and Trow, S. (2003). A practitioner’s guide to assessment, monitoring and control, IWA, London.
Farmani, R., Savic, D. A., and Walters, G. A. (2005a). “Evolutionary multi-objective optimization in water distribution network design.” Eng. Optimiz., 37(2), 167–185.
Farmani, R., Walters, G. A., and Savic, D. A. (2005b). “Trade-off between total cost and reliability for Anytown water distribution network.” J. Water Resour. Plann. Manage., 131(3), 161–171.
Formiga, K. T. M., Chaudry, F. H., Cheung, P. B., and Reis, L. F. R. (2003). “Optimal design of water distribution system by multiobjective evolutionary methods.” Evolutionary Multi-Criterion Optimization (EMO) 2003, C. M. Fonseca et al., eds., LNCS 2632, Springer, New York, 677–691.
Germanopoulos, G., and Jowitt, P. W. (1989). “Leakage reduction by excess pressure minimisation in a water supply network.” Proc. Inst. Civ. Eng., Part 2. Res. Theory, 87 (June), 195–214.
Girard, M., and Stewart, R. A. (2007). “Implementation of pressure and leakage management strategies on the Gold Coast, Australia: Case study.” J. Water Resour. Plann. Manage., 133(3), 210–217.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, Reading, Mass.
Halhal, D., Walters, G. A., Ouazar, D., and Savic, D. A. (1997). “Water network rehabilitation with structured messy genetic algorithm.” J. Water Resour. Plann. Manage., 123(3), 137–146.
Hindi, K. S., and Hamam, Y. M. (1991). “Locating pressure control elements for leakage minimisation in water supply networks: An optimization model.” Eng. Optimiz., 17, 281–291.
Holland, J. H. (1975). Adaptation in natural and artificial systems, MIT Press, Cambridge, Mass.
Jowitt, P. W., and Xu, C. (1990). “Optimal valve control in water distribution networks.” J. Water Resour. Plann. Manage., 116(4), 455–472.
Keedwell, E., and Khu, S. T. (2006). “A novel evolutionary metaheuristic for the multi-objective optimisation of real-world water distribution networks.” Eng. Optimiz., 38(3), 319–333.
Lambert, A. O. (2001). “What do we know about pressure: Leakage relationship in distribution systems?” Proc., IWA Conf. on System Approach to Leakage Control and Water Distribution Systems Management, Brno (Czech Republic), IWA, London.
Lambert, A. O. (2002). “International report on water loss management and techniques.” Water Sci. Technol.: Water Supply, 2(4), 1–20.
Mckenzie, R. S. (2002). “Khayelitsha: Leakage reduction through advanced pressure control.” J. Inst. Munic. Eng. S. Africa, 27(8), 43–47.
Michalewicz, Z. (1996). Genetic algorithms+data structures=evolution programs, 3rd Ed., Springer, New York.
Mitchell, M. (1998). An introduction to genetic algorithms, MIT Press, Cambridge, Mass.
Pezzinga, G., and Gueli, R. (1999). “Discussion on ‘Optimal location of control valves in pipe networks by genetic algorithms.’” J. Water Resour. Plann. Manage., 125(1), 65–67.
Prasad, T. D., and Park, N.-S. (2004). “Multiobjective genetic algorithms for design of water distribution networks.” J. Water Resour. Plann. Manage., 130(1), 73–82.
Prasad, T. D., Walters, G. A., and Savic, D. A. (2004). “Booster disinfection of water supply networks: Multiobjective approach.” J. Water Resour. Plann. Manage., 130(5), 367–376.
Reis, L. F. R., Porto, R. M., and Chaudry, F. H. (1997). “Optimal location of control valves in pipe networks by genetic algorithms.” J. Water Resour. Plann. Manage., 123(6), 317–326.
Rossman, L. A. (2000). Epanet 2 users manual, EPA, Cincinnati.
Savic, D. A. (2002). “Single-objective vs. multiobjective optimisation for integrated decision support.” Proc., 1st Biennial Meeting of the Int. Environmental Modelling and Software Society, Integrated Assessment and Decision Support, A. E. and A. J. Jakeman, eds., Vol. 1, 7–12.
Savic, D. A., and Walters, G. A. (1995). “An evolution program for optimal pressure regulation in water distribution networks.” Eng. Optimiz., 24, 197–219.
Sterling, M. J. H., and Bargiela, A. (1984). “Leakage reduction by optimised control of valves in water networks.” Trans. Inst. Meas. Control (London), 6(6), 293–298.
Tolson, B. A., Maier, H. R., Simpson, A. R., and Lence, B. J. (2004). “Genetic algorithms for reliability-based optimization of water distribution systems.” J. Water Resour. Plann. Manage., 130(1), 63–72.
Vairavamoorthy, K., and Lumbers, J. (1998). “Leakage reduction in water distribution systems: Optimal valve control.” J. Hydraul. Eng., 124(11), 1146–1154.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 135Issue 3May 2009
Pages: 178 - 187

History

Received: Oct 22, 2007
Accepted: Sep 11, 2008
Published online: May 1, 2009
Published in print: May 2009

Permissions

Request permissions for this article.

Authors

Affiliations

Matteo Nicolini [email protected]
Assistant Professor, Dipt. di Georisorse e Territorio, Univ. of Udine, via Cotonificio 114, 33100 Udine, Italy (corresponding author). E-mail: [email protected]
Luigino Zovatto [email protected]
Assistant Professor, Dipt. di Ingegneria Civile e Ambientale, Univ. of Trieste, Piazzale Europa l, 34127 Trieste, Italy. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share