Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks

Document Type : Research Paper


Department of Civil Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.


Leakage is one of the main problems of urban water distribution networks. Leakage control and management can play an important role in increasing network efficiency and reducing water loss. Pressure reduction in water distribution networks is usually done using Pressure reducing valve (PRV), while the energy dissipated from head loss can be recovered to generate hydropower. In this study, the possibility of using pump as turbines (PATs) instead of PRVs in a water distribution network has been investigated. Regarding this purpose, the genetic algorithm is used by MATLAB software, in which the hydraulic model of the water distribution network is carried out in WaterGEMS software. At first, the aim of optimization is to determine the optimum output of PRVs. Then after replacing the PRVs with the PATs, the optimal curve for the PATs can be determined. Results show that the use of PATs to control the pressure is effective, so that compared to the basic model, the leakage rate has decreased by about 33% and the Nodal Pressure Reliability Index (NPRI) has increased by 0.41. Moreover, the nodal pressures have been significantly reduced, and the average pressure of the network decreased by 58%.


Main Subjects

  1. Corcoran, L., McNabola, A. and Coughlan, P., 2016. Optimization of water distribution networks for combined hydropower energy recovery and leakage reduction. Journal of Water Resources Planning and Management, 142(2), p.04015045.
  2. Jones, F.T. and Barkdoll, B.D., 2022. Viability of Pressure-Reducing Valves for Leak Reduction in Water Distribution Systems. Water Conservation Science and Engineering, 7(4), pp.657-670.
  3. Binama, M., Su, W.T., Li, X.B., Li, F.C., Wei, X.Z. and An, S., 2017. Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes: A state-of-the-art review. Renewable and Sustainable Energy Reviews, 79, pp.148-179.
  4. Novara, D. and McNabola, A., 2021. Design and year-long performance evaluation of a pump as turbine (Pat) pico-hydropower energy recovery device in a water network. Water, 13(21), p.3014.
  5. Lima, G.M., Junior, E.L. and Brentan, B.M., 2017. Selection of pumps as turbines substituting pressure reducing valves. Procedia Engineering, 186, pp.676-683.
  6. Fecarotta, O., Aricò, C., Carravetta, A., Martino, R. and Ramos, H.M., 2015. Hydropower potential in water distribution networks: Pressure control by PATs. Water resources management, 29, pp.699-714.
  7. Morani, M.C., Carravetta, A., D’Ambrosio, C. and Fecarotta, O., 2021. A new mixed integer non-linear programming model for optimal PAT and PRV location in water distribution networks. Urban Water Journal, 18(6), pp.394-409.
  8. Fontana, N., Marini, G. and Creaco, E., 2021. Comparison of PAT installation layouts for energy recovery from water distribution networks. Journal of Water Resources Planning and Management, 147(12), p.04021083.
  9. Pillay, E., Kumarasamy, M., Adu, J., Thirumuruganandham, S.P., Paruk, A. and Naidoo, M., 2022. Feasibility analysis of energy recovery using PATs in water distribution networks. Water, 14(7), p.1150.
  10. Fernández García, I., Perea, R.G. and Rodríguez Díaz, J.A., 2022. New model for determining optimal PAT locations: maximizing energy recovery in irrigation networks. Journal of Water Resources Planning and Management, 148(11), p.04022054.
  11. Stefanizzi, M., Filannino, D., Capurso, T., Camporeale, S.M. and Torresi, M., 2023. Optimal hydraulic energy harvesting strategy for PaT installation in Water Distribution Networks. Applied Energy, 344, p.121246.
  12. Kowalska, B., Suchorab, P. and Kowalski, D., 2022. Division of district metered areas (DMAs) in a part of water supply network using WaterGEMS (Bentley) software: a case study. Applied Water Science, 12(7), p.166.
  13. EKWULE, O. and UTSEV, J., 2019. Evaluation of a Municipal Water Distribution Network Using waterCAD and waterGEMS. Kastamonu University Journal of Engineering and Sciences, 5(2), pp.147-156.
  14. Shang, F., Rossman, L.A. and Uber, J.G., 2023. EPANET-MSX 2.0 user manual. EPA/600/R-22/199. Cincinnati: USEPA.
  15. Arandia, E. and Eck, B.J., 2018. An R package for EPANET simulations. Environmental modelling & software, 107, pp.59-63.
  16. Dini, M., Mohammadikaleibar, A., Hashemi, S. and Nourani, V., 2022. Stochastic long-term reliability of water distribution networks using Monte Carlo simulation. Urban Water Journal, 19(2), pp.151-160.
  17. Muranho, J., Ferreira, A., Sousa, J., Gomes, A. and Marques, A.S., 2014. Pressure-dependent demand and leakage modelling with an EPANET extension–WaterNetGen. Procedia Engineering, 89, pp.632-639.
  18. Kaunda, C.S., Kimambo, C.Z. and Nielsen, T.K., 2014. A technical discussion on microhydropower technology and its turbines. Renewable and Sustainable Energy Reviews, 35, pp.445-459.
  19. Mirjalili, S. and Mirjalili, S., 2019. Genetic algorithm. Evolutionary Algorithms and Neural Networks: Theory and Applications, pp.43-55.
  20. Jafari, R., Khanjani, M.J. and Esmaeilian, H.R., 2015. Pressure management and electric power production using pumps as turbines. Journal‐American Water Works Association, 107(7), pp.E351-E363.
  21. Do, N.C., Simpson, A.R., Deuerlein, J.W. and Piller, O., 2016. Calibration of water demand multipliers in water distribution systems using genetic algorithms. Journal of water resources planning and management, 142(11), p.04016044.
  22. Cimorelli, L., D’Aniello, A. and Cozzolino, L., 2020. Boosting genetic algorithm performance in pump scheduling problems with a novel decision-variable representation. Journal of Water Resources Planning and Management, 146(5), p.04020023.
  23. Du, B., Zha, D., Guo, J. and Yu, X., 2023. Optimization of pump scheduling in waterworks considering load balancing using improved genetic algorithm. Journal of Intelligent & Fuzzy Systems, (Preprint), pp.1-19.
  24. Świtnicka, K., Suchorab, P. and Kowalska, B., 2017. The optimisation of a water distribution system using Bentley WaterGEMS software. In ITM Web of Conferences (Vol. 15, p. 03009). EDP Sciences.