Next Article in Journal
Water Demand Forecasting with Multi-Objective Computational Intelligence
Previous Article in Journal
Rethinking On-Demand Irrigation Systems Using IOT Stand-Alone Technologies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Pump Switching-Induced Transients in Water Distribution Networks—Preliminary Laboratory Experiments †

1
Department of Civil and Environmental Engineering, University of Perugia, 06125 Perugia, Italy
2
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 211100, China
*
Author to whom correspondence should be addressed.
Presented at the 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Ferrara, Italy, 1–4 July 2024.
Eng. Proc. 2024, 69(1), 78; https://doi.org/10.3390/engproc2024069078
Published: 6 September 2024

Abstract

:
The Water Engineering Laboratory (WEL) of the University of Perugia hosts a real-scale water distribution network (WDN) with a service line comprising high-density polyethylene (HPDE) pipes and supplied by two pumps in series. The carried out unsteady-state tests show the WDN behavior during transients due to pump switching-on and -off. In particular, they underline the most pressure-stressed sections of the system. The obtained results can help water utility managers in protecting these sections with the aim to preserve the integrity of the WDN.

1. Introduction

In water distribution networks (WDNs), transients repeatedly generated by maneuvers at regulation devices [1], end-users [2,3,4], supply lines [5], and pumps [6] pose a risk of pipe damage. Monitoring the dynamics of discharge in WDS supplied by pumps is crucial, not only to prevent potential risks of pipe damage due to transients, as highlighted by [6], but also to accurately account for the supplied water in the overall water mass balance in aqueducts. This is particularly important for aqueducts fed by aquifers, where the integration of soil moisture data from ERA5, water table measurements, discussed in [7] and the dynamics of water pumped from aquifers provides a comprehensive understanding of the recharge and discharge processes. In [8], to estimate the pressure stressing the pipes, field tests are carried out in two WDN districts: one with industrial end-users and the other interested by pump activity.
The aim of this paper is to study the effect of pump switching in the WDN installed at the Water Engineering Laboratory (WEL) of the University of Perugia (Italy). In particular, the focus is on the identification of the most stressed parts of the WDN, with the ultimate goal of driving water utility managers to enhance monitoring and maintenance operations at critical sections.

2. Experimental Setup

The experimental setup consists of a WDN, with all pipes made of high-density polyethylene (HDPE), supplied by two identical pumps arranged in series: the supply pump (SP) and the maneuver pump (MP). The pumping system draws water from a feeding tank as a supply source. The WDN consists of a DN110 42.30 m long supply line, with an internal diameter D = 93.3 mm, wall thickness e = 8.1 mm, and two loops. The first loop has four 100 m long pipes with DN75, D = 63.8 mm and e = 5.6 mm, while the second one has one pipe in common with the first, and the other three are 100 m long pipe with DN50, D = 42.6 mm and e = 3.7 mm. A DN25 service line (SL), with a length of 23.60 m, D = 20 mm, and e = 3 mm, is installed at section 6 (Figure 1). At a downstream end of the SL, a ball valve is installed to regulate the discharge and simulate the end-user 6u. Pressure signals are acquired with a sampling frequency of 2048 Hz, with transducers located at sections 32 (32.3 m downstream of MP), 8, 6, and 6u. These measurement sections are chosen as they are the closest and the farthest to the pumping system, the junction with SL, and the end-user, respectively.

3. Transient Tests

During the transient tests, the SP was maintained in continuous operation, supplying a discharge QSP; the successive switching-on and -off maneuvers executed at the MP led the discharge to QMP and then again to QSP, respectively. In this work, as a representative example of the carried-out transients, and for lack of space, the results of the test characterized by QSP = 0.42 L/s and QMP = 0.62 L/s are presented. For this test, pressure signals, H, acquired at the selected measurement sections are shown in Figure 2. This plot indicates that, after a time interval ∆t1 = 54 s, the MP is switched on until the new steady-state conditions are reached, both pumps are on, and QMP = 0.62 L/s. Such a transient takes more than 1 min to damp (∆t2 = 96 s). Successively, the MP is switched off to restore to the initial conditions (∆t3 = 70 s). It is worth noting that the pressure signal acquired at section 6u reaches 90 m with both the pumps switched on, whereas its value is about 45 m when only the SP is operating.

4. Results

The first phases of the transients induced by both switching-on and -off are reported in Figure 3a,b, respectively, as enlargements of the pressure signals of Figure 2. For the sake of clarity, the first pressure variations at each measurement section are marked by a double arrow and the symbol δ, followed by a subscript indicating the corresponding measurement section. The pressure variation due to the pump switching on (Figure 3a) reaches section 32 at t = 53.66 s, with an amplitude δ23 equal to 53.87 m. When such a wave arrives at sections 6 and 6u at a t equal to 53.96 s and 54.07 s, respectively, it is reduced to δ6 = 52.63 m and δ6U = 51.36 m. This reduction is due to the interaction of the pressure waves with the WDN junctions. It is worth noting that during the first phase of the transient, the most excited section is node 8 (δ8 = 54.73 m), irrespective of if it is the farthest section from the transient generation point. This feature can be ascribed to the topology of the considered WDN that implies the almost simultaneous arrival of three pressure waves at node 8.
During the first phases of the transient due to the pump switching off (Figure 3b), it can be noted that smoother pressure variations occur.

5. Conclusions

This paper presents the preliminary results of the tests carried out at the Water Engineering Laboratory (WEL) of the University of Perugia (Italy), with the aim to investigate the transient response of a two-loop water distribution network (WDN) to pump switching-on and -off.
The acquired pressure signals show that, during the first phases of the transient due to the pump switching-on, sharp pressure waves are generated, and the pressure extreme values are achieved at the farthest section from the pumping system. On the contrary, the transient due to the pump switching off is characterized by smoother pressure waves.

Author Contributions

Conceptualization, C.C., D.F., B.B., Y.C., Y.X. and S.M.; methodology, C.C., D.F., B.B., Y.C. and S.M.; software, C.C., D.F., B.B., Y.C. and S.M.; validation, C.C., D.F., B.B., Y.C. and S.M.; formal analysis, C.C., D.F., B.B., Y.C. and S.M.; investigation, C.C., D.F., B.B., Y.C. and S.M.; resources, C.C., D.F., B.B., Y.C. and S.M.; data curation, C.C., D.F., B.B., Y.C. and S.M.; writing—original draft preparation, C.C., D.F., B.B., Y.C. and S.M.; writing—review and editing, C.C., D.F., B.B., Y.C. and S.M.; visualization, C.C., D.F., B.B., Y.C. and S.M.; supervision, C.C., D.F., B.B., Y.C., Y.X. and S.M.; project administration, C.C., D.F., B.B., Y.C. and S.M.; funding acquisition, C.C., D.F., B.B., Y.C. and S.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been jointly supported by the University of Perugia “Fondi di ricerca di Ateneo-edizioni 2021 e 2022”; by the Ministry of University and Research (MUR) under the Project of Relevant Interest-PRIN2022—“Hybrid Transient--Machine Learning Approach for Anomaly Detection and Classification in Water Transmission Mains (TANDEM)” (CUP: J53D23002110006). Finally, the Authors would like to thank the European Commision, MUR (Italy), Fapesc (Brazil), and FCT (Portugal) for funding in the frame of the collaborative international consortium MORE4WATER financed under the 2022 Joint call of the European Partnership 101060874—Water4all.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Meniconi, S.; Brunone, B.; Mazzetti, E.; Laucelli, D.B.; Borta, G. Hydraulic characterization and transient response of pressure reducing valves: Laboratory experiments. J. Hydroinform. 2017, 19, 798–810. [Google Scholar] [CrossRef]
  2. Meniconi, S.; Maietta, F.; Alvisi, S.; Capponi, C.; Marsili, V.; Franchini, M.; Brunone, B. Consumption change-induced transients in a water distribution network: Laboratory tests in a looped system. Water Resour. Res. 2022, 58, e2021WR031343. [Google Scholar] [CrossRef]
  3. Marsili, V.; Mazzoni, F.; Alvisi, S.; Maietta, F.; Capponi, C.; Meniconi, S.; Brunone, B.; Franchini, M. Investigation of pressure transients induced on a real water service line by user’s activity. AQUA—Water Infrastruct. Ecosyst. Soc. 2023, 72, 2331–2346. [Google Scholar] [CrossRef]
  4. Haghighi, A. Analysis of transient flow caused by fluctuating consumptions in pipe networks: A many-objective genetic algorithm approach. Water Resour. Manag. 2015, 29, 2233–2248. [Google Scholar] [CrossRef]
  5. Bohorquez, J.; Lambert, M.F.; Simpson, A.R. Identifying head accumulation due to transient wave superposition in pipelines. J. Hydraul. Eng. 2020, 146, 04019044. [Google Scholar] [CrossRef]
  6. Huang, Y.; Zheng, F.; Duan, H.-F.; Zhang, Q. Multi-objective optimal design of water distribution networks accounting for transient impacts. Water Resour. Manag. 2020, 34, 1517–1534. [Google Scholar] [CrossRef]
  7. Bongioannini Cerlini, P.; Silvestri, L.; Meniconi, S.; Brunone, B. Simulation of the Water Table Elevation in Shallow Unconfined Aquifers by means of the ERA5 Soil Moisture Dataset: The Umbria Region Case Study. Earth Interact. 2021, 25, 1–31. [Google Scholar] [CrossRef]
  8. Starczewska, D.; Boxall, J.B.; Collins, R.P. A method to characterise transients from pressure signals recorded in real water distribution networks. In Proceedings of the 12th International Conference on Pressure Surges, Dublin, Ireland, 18–20 November 2015; pp. 609–623. [Google Scholar]
Figure 1. The experimental setup.
Figure 1. The experimental setup.
Engproc 69 00078 g001
Figure 2. Pressure signals, H, acquired at the measurement sections 32, 6u, 6, and 8.
Figure 2. Pressure signals, H, acquired at the measurement sections 32, 6u, 6, and 8.
Engproc 69 00078 g002
Figure 3. Transient response of the WDN at sections 32, 6, 6u, and 8: (a) the first overpressures during MP switching-on, and (b) the first depressions during MP switching-off.
Figure 3. Transient response of the WDN at sections 32, 6, 6u, and 8: (a) the first overpressures during MP switching-on, and (b) the first depressions during MP switching-off.
Engproc 69 00078 g003
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Capponi, C.; Falocci, D.; Brunone, B.; Xiaodong, Y.; Chao, Y.; Meniconi, S. Pump Switching-Induced Transients in Water Distribution Networks—Preliminary Laboratory Experiments. Eng. Proc. 2024, 69, 78. https://doi.org/10.3390/engproc2024069078

AMA Style

Capponi C, Falocci D, Brunone B, Xiaodong Y, Chao Y, Meniconi S. Pump Switching-Induced Transients in Water Distribution Networks—Preliminary Laboratory Experiments. Engineering Proceedings. 2024; 69(1):78. https://doi.org/10.3390/engproc2024069078

Chicago/Turabian Style

Capponi, Caterina, Debora Falocci, Bruno Brunone, Yu Xiaodong, Yu Chao, and Silvia Meniconi. 2024. "Pump Switching-Induced Transients in Water Distribution Networks—Preliminary Laboratory Experiments" Engineering Proceedings 69, no. 1: 78. https://doi.org/10.3390/engproc2024069078

APA Style

Capponi, C., Falocci, D., Brunone, B., Xiaodong, Y., Chao, Y., & Meniconi, S. (2024). Pump Switching-Induced Transients in Water Distribution Networks—Preliminary Laboratory Experiments. Engineering Proceedings, 69(1), 78. https://doi.org/10.3390/engproc2024069078

Article Metrics

Back to TopTop