Choosing the Best Algorithm for Optimum Locating and Adjustment of Pressure-Reducing Valves in Water Distribution Networks
Publication: Journal of Water Resources Planning and Management
Volume 150, Issue 8
Abstract
The high pressure of water distribution networks (WDNs) increases leakage, bursts, and water consumption. Pressure-reducing valves (PRVs) are widely used in WDNs because of their flexibility and effectiveness in pressure management. This paper studies pressure management by locating and adjusting PRVs in WDNs, considering the proper objective function and the suitable optimization algorithm. The single-objective algorithms and the EPANET hydraulic simulator in MATLAB programming are combined to manage the pressure. Initially, the proposed method improved by selecting the optimal optimization algorithm and objective function. Both fixed outlets and time-modulated modes of PRVs for two ZJ and Bellingham WDNs as case studies were used. Considering the cost, reliability, hydraulic performance, and leakage, the results were then analyzed and compared by changing the number, location, and adjustment of each PRV. The outcomes show the effect of choosing the best algorithms and cost functions on the results. The results also show that this method increases the reliability and controls the nodal pressure to a desired level in WDNs.
Practical Applications
Leakages in water distribution networks (WDNs) are problematic for utilities and other governmental agencies. Pressure management in WDNs is inevitable to reduce the rate of bursts and leaks. Using fixed- and time-modulated pressure-reducing valves (PRVs) is essential for smart pressure management in WDNs. This study presented a method for positioning and adjusting PRVs in WDNs. The proposed method was applied to ZJ and Bellingham WDNs by choosing the best optimization algorithm and objective functions. The grey wolf optimizer (GWO) algorithm is proposed as one of the best algorithms for this subject. The presented method tries to provide the best plan for pressure management by examining the cost, leakage, and reliability. The results show that the presented method effectively increases reliability and reduces leakage in WDNs.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published paper.
References
Ackley, D. 2012. A connectionist machine for genetic hillclimbing. Cham, Switzerland: Springer.
Alonso, J. M., F. Alvarruiz, D. Guerrero, V. Hernández, P. A. Ruiz, A. M. Vidal, F. Martínez, J. Vercher, and B. Ulanicki. 2000. “Parallel computing in water network analysis and leakage minimization.” J. Water Resour. Plann. Manage. 126 (4): 251–260. https://doi.org/10.1061/(ASCE)0733-9496(2000)126:4(251).
Bazovsky, I. 2004. Reliability theory and practice. North Chelmsford, MA: Courier Corporation.
Bideris-Davos, A. A., and P. N. Vovos. 2023. “Algorithm for appropriate design of hydroelectric turbines as replacements for pressure reduction valves in water distribution systems.” Water 15 (3): 554. https://doi.org/10.3390/w15030554.
Creaco, E., and H. Haidar. 2019. “Multiobjective optimization of control valve installation and DMA creation for reducing leakage in water distribution networks.” J. Water Resour. Plann. Manage. 145 (10): 04019046. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001114.
Creaco, E., and G. Pezzinga. 2015. “Multiobjective optimization of pipe replacements and control valve installations for leakage attenuation in water distribution networks.” J. Water Resour. Plann. Manage. 141 (3): 04014059. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000458.
Creaco, E., and T. Walski. 2017. “Economic analysis of pressure control for leakage and pipe burst reduction.” J. Water Resour. Plann. Manage. 143 (12): 04017074. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000846.
Dandy, G. C., A. R. Simpson, and L. J. Murphy. 1996. “An improved genetic algorithm for pipe network optimization.” Water Resour. Res. 32 (2): 449–458. https://doi.org/10.1029/95WR02917.
De Paola, F., E. Galdiero, and M. Giugni. 2017. “Location and setting of valves in water distribution networks using a harmony search approach.” J. Water Resour. Plann. Manage. 143 (6): 04017015. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000760.
Dini, M., S. A. Saghebian, E. Asadi, and A. Mohammadi. 2023. “The effect of the intelligent emplacement of pressure reducing valves in reducing leakage in real water distribution networks.” Amirkabir J. Civ. Eng. 54 (12): 4511–4526.
Dini, M., and M. Tabesh. 2018. “A new reliability index for evaluating the performance of water distribution network.” J. Water Wastewater 29 (3): 1–16. https://doi.org/10.22093/wwj.2017.51035.2154.
Eliades, D. G., M. Kyriakou, S. Vrachimis, and M. M. Polycarpou. 2016. “EPANET-MATLAB toolkit: An open-source software for interfacing EPANET with MATLAB.” In Proc., 14th Int. Conf. on Computing and Control for the Water Industry (CCWI). Nicosia, Cyprus: Univ. of Cyprus.
Filion, Y., B. W. Karney, and B. J. Adams. 2005. “Multiobjective design of water networks with random loads.” In Proc., 4th Int. Symp. on Environmental Hydraulics and the 14th Congress of Asia and Pacific Division, International Association of Hydraulic Engineering and Research, Proc., Environmental Hydraulics and Sustainable Water Management. Volume 1, Environmental Hydraulics: Volume 2, Sustainable Water Management in the Asia-Pacific Region, 1319–1324. New York: Taylor & Francis.
Fontana, N., M. Giugni, and D. Portolano. 2012. “Losses reduction and energy production in water-distribution networks.” J. Water Resour. Plann. Manage. 138 (3): 237–244. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000179.
García-Ávila, F., A. Aviles-Anazco, J. Ordonez-Jara, C. Guanuchi-Quezada, L. F. del Pino, and L. Ramos-Fernández. 2019. “Pressure management for leakage reduction using pressure reducing valves. Case study in an Andean city.” Alexandria Eng. J. 58 (4): 1313–1326. https://doi.org/10.1016/j.aej.2019.11.003.
Gençoğlu, G., and N. Merzi. 2017. “Minimizing excess pressures by optimal valve location and opening determination in water distribution networks.” Procedia Eng. 186 (Jan): 319–326. https://doi.org/10.1016/j.proeng.2017.03.254.
Germanopoulos, G., and P. Jowitt. 1989. “Leakage reduction by excess pressure minimization in a water supply network.” Proc. Inst. Civ. Eng. 87 (2): 195–214. https://doi.org/10.1680/iicep.1989.2003.
Hedaiaty Marzouny, N., M. Jalili Ghazizadeh, I. Moslehi, and M. Komeily. 2022. “Smart pressure management to reduce the spatial and temporal pressure variations in water distribution networks.” Amirkabir J. Civ. Eng. 54 (10): 2. https://doi.org/10.22060/ceej.2022.19743.7250.
Hernadez, E., S. Hoagland, and L. Ormsbee. 2016. “Water distribution database for research applications.” In Proc., World Environmental and Water Resources Congress 2016, 465–474. Reston, VA: ASCE.
Jafari-Asl, J., M. Malekmahmoudi, B. Sami Kashkooli, H. Montaseri, and M. Bahrami. 2020. “Optimal management of pressure for leakage minimization in water distribution systems by Pressure Reduction Valves (PRVs).” Irrig. Water Eng. 11 (2): 24–35. https://doi.org/10.22125/IWE.2020.120716.
John, H. 1992. “Holland. genetic algorithms.” Sci. Am. 267 (1): 44–50.
Jowitt, P. W., and C. Xu. 1990. “Optimal valve control in water-distribution networks.” J. Water Resour. Plann. Manage. 116 (4): 455–472. https://doi.org/10.1061/(ASCE)0733-9496(1990)116:4(455).
Kakeshpour, M., M. Jalili Ghazizadeh, S. A. Hosseini, and A. Sharafati. 2024. “Design of district metered areas for existing water distribution networks.” J. Pipeline Syst. Eng. Pract. 15 (2): 04024006. https://doi.org/10.1061/JPSEA2.PSENG-1507.
Kok, S., and C. Sandrock. 2009. “Locating and characterizing the stationary points of the extended Rosenbrock function.” Evol. Comput. 17 (3): 437–453. https://doi.org/10.1162/evco.2009.17.3.437.
Latifi, M., S. T. Naeeni, and M. A. Gheibi. 2018. “Upgrading the reliability of water distribution networks through optimal use of pressure-reducing valves.” J. Water Resour. Plann. Manage. 144 (2): 04017086. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000866.
Li, S., H. Chen, M. Wang, A. A. Heidari, and S. Mirjalili. 2020. “Slime mould algorithm: A new method for stochastic optimization.” Future Gener. Comput. Syst. 111 (Oct): 300–323. https://doi.org/10.1016/j.future.2020.03.055.
Mahdavi, P., and J. Yazdi. 2022. “Pressure management in water distribution networks using optimal locating and operating of pressure reducing valves.” In Proc., 7th Int. Conf. on Harmony Search, Soft Computing and Applications: ICHSA 2022, 105–115. Berlin: Springer.
Marzouny, N. H., M. J. Ghazizadeh, I. Moslehi, and M. Komeily. 2022. “Smart pressure management to reduce the spatial and temporal pressure variations in water distribution networks.” Amirkabir J. Civ. Eng. 54 (10): 3657–3674. https://doi.org/10.22060/ceej.2022.19743.7250.
Mirjalili, S., and A. Lewis. 2016. “The whale optimization algorithm.” Adv. Eng. Software 95 (May): 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008.
Mirjalili, S., S. M. Mirjalili, and A. Lewis. 2014. “Grey wolf optimizer.” Adv. Eng. Software 69 (Mar): 46–61. https://doi.org/10.1016/j.advengsoft.2013.12.007.
Monsef, H., M. Naghashzadegan, A. Gamali, and R. Farmani. 2022. “Location and setting optimization of the pressure reducing valves in urban water networks to pressure management and leakage reduction.” Modares Civ. Eng. J. 22 (5): 7–19. https://doi.org/10.22034/22.5.7.
Nasirpour, H., A. Nasirian, and A. Akbarpour. 2017. “Number and location of pressure reducing valves in water distribution networks by WaterGEMs software.” In Proc., 5th Int. Conf. on Civil Engineering, Architecture and Urban Development, 1–192. Tehran, Iran: Scientific Information Database.
Nicolini, M., and L. Zovatto. 2009. “Optimal location and control of pressure reducing valves in water networks.” J. Water Resour. Plann. Manage. 135 (3): 178–187. https://doi.org/10.1061/(ASCE)0733-9496(2009)135:3(178).
Pecci, F., E. Abraham, and I. Stoianov. 2019. “Model reduction and outer approximation for optimizing the placement of control valves in complex water networks.” J. Water Resour. Plann. Manage. 145 (5): 04019014. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001055.
Piratla, K. R. 2016. “Investigation of sustainable and resilient design alternatives for water distribution networks.” Urban Water J. 13 (4): 412–425. https://doi.org/10.1080/1573062X.2014.994001.
Price, E., G. R. Abhijith, and A. Ostfeld. 2022. “Pressure management in water distribution systems through PRVs optimal placement and settings.” Water Res. 226 (Nov): 119236. https://doi.org/10.1016/j.watres.2022.119236.
Rossman, L. A. 2000. EPANET 2: User’s manual. Cincinnati: National Risk Management Research Laboratory Office of Research and Development USEPA.
Savic, D. A., and G. A. Walters. 1997. “Genetic algorithms for least-cost design of water distribution networks.” J. Water Resour. Plann. Manage. 123 (2): 67–77. https://doi.org/10.1061/(ASCE)0733-9496(1997)123:2(67).
Shirzad, A. 2013. “Multi-objective optimization of water distribution networks and presenting a comprehensive model for dynamic design of these networks.” [In Persian.] Ph.D. thesis, Faculty of Engineering, School of Civil, Tehran Univ.
Shirzad, A., M. Heidarzadeh, and M. Mohammadi. 2020. “Providing hydraulic model and evaluating reliability of water distribution networks (Case Study: Oshnaviyeh City).” J. Water Wastewater Sci. Eng. 5 (2): 39–47. https://doi.org/10.22112/jwwse.2020.201614.1169.
Simpson, A. R., G. C. Dandy, and L. J. Murphy. 1994. “Genetic algorithms compared to other techniques for pipe optimization.” J. Water Resour. Plann. Manage. 120 (4): 423–443. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:4(423).
Sterling, M., and A. Bargiela. 1984. “Leakage reduction by optimised control of valves in water networks.” Trans. Inst. Meas. Control 6 (6): 293–298. https://doi.org/10.1177/014233128400600603.
Sugishita, K., N. Abdel-Mottaleb, Q. Zhang, and N. Masuda. 2021. “A growth model for water distribution networks with loops.” Proc. R. Soc. A 477 (2255): 20210528. https://doi.org/10.1098/rspa.2021.0528.
Tabesh, M., and S. Hoomehr. 2009. “Consumption management in water distribution systems by optimizing pressure reducing valves’ settings using genetic algorithm.” Desalin. Water Treat. 2 (1–3): 96–102. https://doi.org/10.5004/dwt.2009.154.
Tanyimboh, T., R. Burd, R. Burrows, and M. Tabesh. 1999. “Modelling and reliability analysis of water distribution systems.” Water Sci. Technol. 39 (4): 249–255. https://doi.org/10.2166/wst.1999.0212.
Todini, E., and L. A. Rossman. 2013. “Unified framework for deriving simultaneous equation algorithms for water distribution networks.” J. Hydraul. Eng. 139 (5): 511–526. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000703.
Vairavamoorthy, K., and J. Lumbers. 1998. “Leakage reduction in water distribution systems: Optimal valve control.” J. Hydraul. Eng. 124 (11): 1146–1154. https://doi.org/10.1061/(ASCE)0733-9429(1998)124:11(1146).
Vicente, D., L. Garrote, R. Sánchez, and D. Santillán. 2016. “Pressure management in water distribution systems: Current status, proposals, and future trends.” J. Water Resour. Plann. Manage. 142 (2): 04015061. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000589.
Walters, G. A., D. Halhal, D. Savic, and D. Ouazar. 1999. “Improved design of ‘Anytown’ distribution network using structured messy genetic algorithms.” Urban water 1 (1): 23–38. https://doi.org/10.1016/S1462-0758(99)00005-9.
Wang, D., D. Tan, and L. Liu. 2018. “Particle swarm optimization algorithm: An overview.” Soft Computing 22 (2): 387–408. https://doi.org/10.1007/s00500-016-2474-6.
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Published In
Journal of Water Resources Planning and Management
Volume 150 • Issue 8 • August 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Nov 27, 2023
Accepted: Mar 12, 2024
Published online: Jun 7, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 7, 2024
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