Variable-Speed Pumping

Gottliebson, Mayo; Sanks, Robert L.; Vause, Alan; Abelin, Stefan M.; Benfell, Robert S.; Bicknell, Harrison C.; Densmore, Bruce; Duncan, Ronald W.; Hong, Stanley S.; Jones, Casey; Leach, Paul C.; Nance, Timothy; Olson, Michael R.; Potthoff, E.O.; Schneider, Douglas L.; Sdano, Arnold R.; Skeehan, Richard N.; Smith, Earle C.; Trager, Patricia A.

doi:10.1016/b978-185617513-5.50022-6

Cited by 5 publications

(6 citation statements)

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“…The advantage of this method is that it does not require an explicit derivation of the combined curve based on the individual curves' parameters (i.e., it does not require knowing the explicit function f (.)). In fact, unlike Method 1, which requires preprocessing the curves of all combinations, using Method 2 leads to a generic optimization problem, which can consider any arbitrary number of pumps, Equations ( 15)- (20).…”

Section: Fixed Speed Pumpsmentioning

confidence: 99%

“…Finally, the estimated flows are summed in Equation ( 30) to obtain the total estimated flow Q est , which is then used in calculating the horizontal error in Equation (31). One should note the similarity between the formulation of the fixed speed pumps in Equations ( 15)- (20) and the variable speed pumps formulation in Equations ( 28)- (33). In fact, the former is a particular case of the latter when n p,t = n p ∀t.…”

Section: Variable Speed Pumpsmentioning

confidence: 99%

“…Therefore, it is not feasible to test the pump across its range of speeds, so they are usually tested at a single speed, which is its nominal (i.e., maximum) speed. VSPs are common because they provide a number of advantages [20] including: (a) the pump flow can change gradually and give the upstream process (e.g., treatment plant) time to adjust; (b) no water storage is required on the demand side, as the pump can adjust to changing demands while maintaining the required pressure in the demand zone; (c) the flow can be changed gradually to reduce water hammer, and (d) motor life can be extended since fewer starts and stops are needed [21].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, Gottliebson et al [20] argue that VSPs also have disadvantages compared to FSPs: (a) they are more expensive in both installation and maintenance; (b) they may be less efficient; (c) controlling a VSP is more complex, and (d) a VSP may not be suitable for flat H-Q system curves as high efficiency is difficult to maintain over the entire flow range. In spite of these disadvantages, VSPs are most popular in systems in which no water storage is available, and where there is a need to regulate the flow using a demand-following mechanism.…”

Section: Introductionmentioning

confidence: 99%

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Optimization Methodology for Estimating Pump Curves Using SCADA Data

Salomons

Shamir

Housh

2021

Water

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Water distribution systems (WDSs) deliver water from sources to consumers. These systems are made of hydraulic elements such as reservoirs, tanks, pipes, valves, and pumps. A pump is characterized by curves which define the relationship of the pump’s head gain and efficiency with its flow. For a new pump, the curves are provided by the manufacturer. However, due to its operating history, the performance of a pump deteriorates, and its curves decline at an estimated rate of about 1% per year. Pump curves are key elements for planning and management of WDSs and for monitoring system efficiency, to determine when a pump should be rehabilitated or replaced. In practice, determining pump curves is done by field tests, which are conducted every few years. This leaves the pump’s performance unmonitored for long time periods. Moreover, these tests often cover only a small range of the curves. This study demonstrates that in the era of IoT and big data, the data collected by Supervisory Control And Data Acquisition (SCADA) systems can be used to continuously monitor pumps’ performance and derive updated pump characteristic curves. We present and demonstrate a practical methodology to estimate fixed and variable speed pump curves in pumping stations. The proposed method can estimate individual pump curves even when the measurements are given only for the pumping station as a whole (i.e., total flow, pumping station head gain). The methodology is demonstrated in a real-world case study of a pumping station in southern Israel.

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Section: Fixed Speed Pumpsmentioning

confidence: 99%

Section: Variable Speed Pumpsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization Methodology for Estimating Pump Curves Using SCADA Data

Salomons

Shamir

Housh

2021

Water

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“…Variable speed pumps (VSP) are used to maintain a desired flow or pressure. VSPs are common because they provide several advantages [1], including a) the pump flow can change gradually and give the upstream process (e.g., treatment plant) time to adjust; b) no water storage is required on the demand side, as the pump can adjust to changing demands while maintaining the required pressure in the demand zone; c) the flow can be changed gradually to reduce water hammer, and d) motor life can be extended since fewer starts and stops are needed [2].…”

Section: Introductionmentioning

confidence: 99%

Local control schemes for real-time optimization of variable speed pumps

Salomons,

Housh,

Shamir

2022

Proceedings - 2nd International Join Conference on Water Distribution System Analysis (WDSA)& Computing and Control in the

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In this work, we have developed local control schemes for the optimal operation of a pumping station that includes multiple variable speed pumps. The pumping station must maintain a target pressure for a closed supply network that usually does not contain storage facilities. The control loop includes repeatedly reading the control feedback (pressure) from the control system and then adjusting the operation of the pumps in the station as needed: changing the pumps' speed and on\off status. Firstly, we formulated a control algorithm that simulates the current practice. Next, an optimization algorithm was developed to achieve minimum energy operation considering the efficiency curves of the pumps. The algorithm utilizes the pumps' characteristics curves for ensuring hydraulic feasibility while sustaining the required pressure setpoint. The optimization problem incorporates bound constraints on the speeds, time gap constraints to prevent frequent pump changes, and physical constraints that quantify the operation point in the flow-head domain and the flow-efficiency domain. We considered two operation strategies. The first is the "free strategy" in which each pump can operate with a different speed inside a predetermined speed range, while in the "equal strategy" all active pumps must share the same speed. The methodology was demonstrated using a realistic case study. Our preliminary results indicate potential energy reduction compared to the current practice.

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