Technical Papers
May 12, 2021

Pressure and Energy Management in Water Distribution Networks through Optimal Use of Pump-As-Turbines along with Pressure-Reducing Valves

Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 7

Abstract

Occurrence of high pressure in water distribution networks (WDNs) may generally result in leakage, bursting, and overconsumption. Temporal and spatial variations in pressure values cause dissatisfaction of consumers and distrust of WDNs. Pressure management is an operational strategy to improve the reliability of WDNs. This strategy should be considered as a cost-savings practice due to the fact that operating costs are a significant proportion of WDN costs. In the present study, the surplus pressure in a WDN, consumed by turbines, is used to generate energy and compensate for some of the costs. Due to the high cost and specialized construction of the turbines, the pumps working in reverse or pump-as-turbines (PATs) have been employed in the WDNs instead of turbines. This investigation aims to improve the network performance by installing PATs with the appropriate number, type, and time schedule in the right locations. In this regard, the optimal schedules for pumping and using pressure-reducing valves (PRVs) have been considered. A numerical model was developed to optimize consumers’ satisfaction and costs as objective functions. The efficiency of the proposed model was evaluated by selecting a case study with overpressure, and additionally, the objective functions were optimized by using two scenarios. The results associated with the first scenario indicated a reduction of network costs by up to 90% over its life cycle as well as an increase in network reliability. Through the second scenario, multiobjective optimization provided a trade-off diagram as the final solution for choosing various solutions with different cost levels and reliabilities.

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Data Availability Statement

All data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.

References

Alberizzi, J. C., M. Renzi, A. Nigro, and M. Rossi. 2018. “Study of a pump-as-turbine (PaT) speed control for a water distribution network (WDN) in South-Tyrol subjected to high variable water flow rates.” Energy Procedia 148 (Aug): 226–233. https://doi.org/10.1016/j.egypro.2018.08.072.
Barry, J. A. 2007. Watergy: Energy and water efficiency in municipal water supply and wastewater treatment. Cost-effective savings of water and energy. Washington, DC: Alliance to Save Energy.
Bello, O., A. M. Abu-Mahfouz, Y. Hamam, P. R. Page, K. B. Adedeji, and O. Piller. 2019. “Solving management problems in water distribution networks: A survey of approaches and mathematical models.” Water 11 (3): 562. https://doi.org/10.3390/w11030562.
Bonvin, G., S. Demassey, C. Le Pape, N. Maizi, V. Mazauric, and A. Samperio. 2017. “A convex mathematical program for pump scheduling in a class of branched water networks.” Appl. Energy 185 (Jan): 1702–1711. https://doi.org/10.1016/j.apenergy.2015.12.090.
Carravetta, A., G. Del Giudice, O. Fecarotta, and H. Ramos. 2013. “Pump as turbine (PAT) design in water distribution network by system effectiveness.” Water 5 (3): 1211–1225. https://doi.org/10.3390/w5031211.
Carravetta, A., G. Del Giudice, O. Fecarotta, and H. M. Ramos. 2012. “Energy production in water distribution networks: A PAT design strategy.” Water Resour. Manage. 26 (3): 3947–3959. https://doi.org/10.1007/s11269-012-0114-1.
Ciaponi, C., L. Franchioli, E. Murari, and S. Papiri. 2015. “Procedure for defining a pressure-outflow relationship regarding indoor demands in pressure-driven analysis of water distribution networks.” Water Resour. Manage. 29 (3): 817–832. https://doi.org/10.1007/s11269-014-0845-2.
Crespo Chacón, M., J. A. Rodriguez Diaz, J. Garcia Morillo, and A. McNabola. 2019. “Pump-as-turbine selection methodology for energy recovery in irrigation networks: Minimising the payback period.” Water 11 (1): 149. https://doi.org/10.3390/w11010149.
Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan. 2002. “A fast and elitist multiobjective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput. 6 (2): 182–197. https://doi.org/10.1109/4235.996017.
Derakhshan, S., and A. Nourbakhsh. 2008a. “Experimental study of characteristic curves of centrifugal pumps working as turbines in different specific speeds.” Exp. Therm. Fluid Sci. 32 (3): 800–807. https://doi.org/10.1016/j.expthermflusci.2007.10.004.
Derakhshan, S., and A. Nourbakhsh. 2008b. “Theoretical, numerical and experimental investigation of centrifugal pumps in reverse operation.” Exp. Therm. Fluid Sci. 32 (8): 1620–1627. https://doi.org/10.1016/j.expthermflusci.2008.05.004.
Dribssa, E., T. Nigussie, and B. Tsegaye. 2015. “Performance analysis of centrifugal pump operating as turbine for identified micro/pico hydro site of Ethiopia.” Int. J. Eng. Res. Gen. Sci. 3 (3): 6–19.
Fecarotta, O., C. Aricò, A. Carravetta, R. Martino, and H. M. Ramos. 2015. “Hydropower potential in water distribution networks: Pressure control by PATs.” Water Resour. Manage. 29 (3): 699–714. https://doi.org/10.1007/s11269-014-0836-3.
Georgescu, S.-C., and A.-M. Georgescu. 2014. “Application of HBMOA to pumping stations scheduling for a water distribution network with multiple tanks.” Procedia Eng. 70 (Jan): 715–723. https://doi.org/10.1016/j.proeng.2014.02.078.
Georgescu, S.-C., R. Popa, and A.-M. Georgescu. 2010. “Pumping stations scheduling for a water supply system with multiple tanks.” Univ. “Politehnica” Bucharest Sci. Bull. Ser. D Mech. Eng. 72 (3): 129–140.
Gupta, R., and P. R. Bhave. 1996. “Reliability-based design of water-distribution systems.” J. Environ. Eng. 122 (1): 51–54. https://doi.org/10.1061/(ASCE)0733-9372(1996)122:1(51).
Hashemi, S. S., M. Tabesh, and B. Ataeekia. 2014. “Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks.” Urban Water J. 11 (5): 335–347. https://doi.org/10.1080/1573062X.2013.795233.
Jowitt, P. W., and G. Germanopoulos. 1992. “Optimal pump scheduling in water-supply networks.” J. Water Resour. Plann. Manage. 118 (4): 406–422. https://doi.org/10.1061/(ASCE)0733-9496(1992)118:4(406).
Latifi, M., M. A. Gheibi, and S. T. O. Naeeni. 2018. “Improving consumer satisfaction in water distribution networks through optimal use of auxiliary tanks (a case study of Kashan City, Iran).” Water Resour. Manage. 32 (12): 4103–4122. https://doi.org/10.1007/s11269-018-2044-z.
Latifi, M., S. T. Naeeni, and M. A. Gheibi. 2017. “Upgrading the reliability of water distribution networks through optimal use of pressure-reducing valves.” J. Water Resour. Plann. Manage. 144 (2): 4017086. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000866.
Latifi, M., and S. T. O. Naeeni. 2016. “Improvement of the hydraulic and quality reliability of urban water reservoirs using auxiliary reservoirs and hourly scheduling of pumps.” In Proc., 14th Conf. Computing and Control for the Water Industry (CCWI2016). Amsterdam, Netherlands: International Water Conferences.
López-Ibáñez, M., T. D. Prasad, and B. Paechter. 2005. “Optimal pump scheduling: representation and multiple objectives.” In Proc., 8th Int. Conf. Computing and Control for the Water Industry (CCWI 2005), 117–122. Exeter, UK: Univ. of Exeter, Centre for Water System.
Luo, Y., S. Yuan, Y. Tang, J. Yuan, and J. Zhang. 2012. “Modeling optimal scheduling for pumping system to minimize operation cost and enhance operation reliability.” J. Appl. Math. 2012 (Jan): 1–19. https://doi.org/10.1155/2012/370502.
Menapace, A., and D. Avesani. 2019. “Global gradient algorithm extension to distributed pressure driven pipe demand model.” Water Resour. Manage. 33 (Feb): 1717–1736. https://doi.org/10.1007/s11269-018-2174-3.
Motwani, K. H., S. V. Jain, and R. N. Patel. 2013. “Cost analysis of pump as turbine for pico hydropower plants - A case study.” Procedia Eng. 51 (Jan): 721–726. https://doi.org/10.1016/j.proeng.2013.01.103.
Novara, D., A. Carravetta, A. McNabola, and H. M. Ramos. 2019. “Cost model for pumps as turbines in run-of-river and in-pipe microhydropower applications.” J. Water Resour. Plann. Manage. 145 (5): 4019012. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001063.
Pérez-Sánchez, M., F. J. Sánchez-Romero, P. A. López-Jiménez, and H. M. Ramos. 2018. “PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool.” Renewable Energy 116 (Feb): 234–249. https://doi.org/10.1016/j.renene.2017.09.060.
Ramos, H., and A. Borga. 1999. “Pumps as turbines: An unconventional solution to energy production.” Urban Water 1 (3): 261–263. https://doi.org/10.1016/S1462-0758(00)00016-9.
Sakarya, A. B. A., and L. W. Mays. 2000. “Optimal operation of water distribution pumps considering water quality.” J. Water Resour. Plann. Manage. 126 (4): 210–220. https://doi.org/10.1061/(ASCE)0733-9496(2000)126:4(210).
Samora, I., M. J. Franca, A. J. Schleiss, and H. M. Ramos. 2016. “Simulated annealing in optimization of energy production in a water supply network.” Water Resour. Manage. 30 (4): 1533–1547. https://doi.org/10.1007/s11269-016-1238-5.
Shirzad, A., and M. Tabesh. 2016. “New indices for reliability assessment of water distribution networks.” J. Water Supply Res. Technol. 65 (5): 384–395. https://doi.org/10.2166/aqua.2016.091.
Shirzad, A., M. Tabesh, R. Farmani, and M. Mohammadi. 2012. “Pressure-discharge relations with application to head-driven simulation of water distribution networks.” J. Water Resour. Plann. Manage. 139 (6): 660–670. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000305.
Tabesh, M., V. Arefkhani, and H. Tavakoli Far. 2009. “Development of gradient method for pressure-driven analysis of water distribution networks.” In Proc., 33rd IAHR Congress: Water Engineering for a Sustainable Environment, 1561–1568. Madrid, Spain: International Association of Hydraulic Engineering and Research.
Tabesh, M., A. Shirzad, V. Arefkhani, and A. Mani. 2014. “A comparative study between the modified and available demand driven based models for head driven analysis of water distribution networks.” Urban Water J. 11 (3): 221–230. https://doi.org/10.1080/1573062X.2013.783084.
Todini, E., and S. Pilati. 1988. “A gradient algorithm for the analysis of pipe networks.” In Computer applications in water supply: Vol. 1, Systems analysis and simulation, 1–20. Somerset, UK: Research Studies Press.
Tricarico, C., M. S. Morley, R. Gargano, Z. Kapelan, D. Savić, S. Santopietro, F. Granata, and G. de Marinis. 2017. “Optimal energy recovery by means of pumps as turbines (PATs) for improved WDS management.” Water Sci. Technol. Water Supply 18 (4): 1365–1374. https://doi.org/10.2166/ws.2017.202.
Ulanicki, B., J. Kahler, and H. See. 2007. “Dynamic optimization approach for solving an optimal scheduling problem in water distribution systems.” J. Water Resour. Plann. Manage. 133 (1): 23–32. https://doi.org/10.1061/(ASCE)0733-9496(2007)133:1(23).
USEPA. 2012. “State and local climate and energy program: Water/wastewater.” Accessed May 28, 2020. http://www.epa.gov/statelocalclimate/local/topics/water.html.
Venturini, M., S. Alvisi, S. Simani, and L. Manservigi. 2017. “Energy production by means of pumps as turbines in water distribution networks.” Energies 10 (10): 1666. https://doi.org/10.3390/en10101666.
Wagner, J. M., U. Shamir, and D. H. Marks. 1988. “Water distribution reliability: Simulation methods.” J. Water Resour. Plann. Manage. 114 (3): 276–294. https://doi.org/10.1061/(ASCE)0733-9496(1988)114:3(276).
Wright, R., E. Abraham, P. Parpas, and I. Stoianov. 2015. “Optimized control of pressure reducing valves in water distribution networks with dynamic topology.” Procedia Eng. 119: 1003–1011. https://doi.org/10.1016/j.proeng.2015.08.994.
Young, R. 2015. “A survey of energy use in water companies. American Council for an Energy-Efficient Economy.” Accessed May 28, 2020. https://aceee.org/sites/default/files/water-company-energy-use.pdf.
Zhuan, X., and X. Xia. 2013. “Optimal operation scheduling of a pumping station with multiple pumps.” Appl. Energy 104 (Apr): 250–257. https://doi.org/10.1016/j.apenergy.2012.10.028.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 7July 2021

History

Received: May 28, 2020
Accepted: Jan 17, 2021
Published online: May 12, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 12, 2021

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Postdoctoral Researcher, School of Civil Engineering, College of Engineering, Univ. of Tehran, P.O. Box 11155-4563, Tehran, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-5275-3587. Email: [email protected]
Assistant Professor, Dept. of Water Engineering, Faculty of Civil and Surveying Engineering, Graduate Univ. of Advanced Technology, Kerman 7631818356, Iran. ORCID: https://orcid.org/0000-0002-2578-2948. Email: [email protected]; [email protected]
Seyed Taghi (Omid) Naeeni [email protected]
Associate Professor, School of Civil Engineering, College of Engineering, Univ. of Tehran, P.O. Box 11155-4563, Tehran, Iran. Email: [email protected]

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