Finding Least-Cost Pump Schedules for Reservoir Filling with a Variable Speed Pump

Bene, József Gergely; Hős, Csaba

doi:10.1061/(asce)wr.1943-5452.0000213

Cited by 21 publications

(8 citation statements)

References 12 publications

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“…To study the three pumping models, a numerical simulation of the evolution of the water reserve in the Ighaouzene and Hotel tanks was carried out during 24 h of pumping, where in general, this period with 1-h intervals is the most used [4].…”

Section: Resultsmentioning

confidence: 99%

Analysis of different operational control strategies for drinking water pump-tank systems: a case study

Bouach

Benmamar

2019

SN Appl. Sci.

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The management of drinking water pumping systems is a delicate task that most often requires the use of different pumping strategies ranging from the simplest to the most sophisticated control methods. In order to study the performance of these methods a numerical simulation of three pumping methods was carried out (two real-time control methods and one simple method). The first real-time control method is based on a model of multivolume regulation. It was developed as part of this study. This method is based on the volume of water in the tank and characterized by a cascade operation of the pumps depending on the control volumes. The second real-time control method is based on a progressive regulation model (PR). This model is characterized by a gradual start and stop of the pumps according to two control volumes: a volume of stop and a volume of starting of the pumps (V on and V off). The third method is based on continuous 24-h pumping (H24).The study was validated on two pumping systems supplying the Hotel and Ighaouzene tanks in the city of Sidi Aiche. The results have shown the energy, hydraulic and operational efficiency of the two real-time control methods in the management of water supply systems.

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Section: Resultsmentioning

confidence: 99%

Analysis of different operational control strategies for drinking water pump-tank systems: a case study

Bouach

Benmamar

2019

SN Appl. Sci.

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“…The individual pumps' flows are estimated in Equation (29). To obtain the total estimated flow of the pumping station, the individual pumps' flows are summed in Equation ( 30) and the horizontal error can be calculated in Equation (31), while maintaining the non-negativity of the parameters in Equations ( 32) and (33). min…”

Section: Variable Speed Pumpsmentioning

confidence: 99%

“…In the optimization model, these operations are lumped together in Equation (29). 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).…”

Section: Variable Speed Pumpsmentioning

confidence: 99%

“…With the VSPs gaining popularity in practice, they have been modelled in most simulation software, such as EPANET [22], and their modelling and simulation continue to be an active research topic [23][24][25][26]. Many studies of VSPs address the operation of WDSs and optimization of pumps scheduling [27][28][29][30][31]. In a recent review, Wu et al [32] report improved system efficiency due to the use of VSPs, as well as other benefits of increased levels of flexibility in controlling WDSs in real time.…”

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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“…This strategy optimizes the system while varying reservoir discharge is occurring. Another method is presented by Bene (2012), which finds control schedules for reservoirs using a mathematical model. This steady-state model was optimized with zero or constant discharge.…”

Section: Introductionmentioning

confidence: 99%

Energy-saving potential for centrifugal pump storage operation using optimized control schemes

et al. 2021

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In this paper, we present the energy-saving potential of using optimized control for centrifugal pump–driven water storages. For this purpose, a Simulink pump-pipe-storage model is used. The equations and transfer function for steady-state and transient system behavior are presented and verified. Two different control strategies—optimum constant flow rate and level guided speed control—are compared to an allegedly optimal-driven pump with constant rotational speed. Twelve centrifugal pumps between 1 and 120 kW nominal power are evaluated to analyze the influence of different system parameters. The system characteristics, which are the static head, dynamic head factor, and maximum filling head, are varied 25 times for each pump in consideration of the pump’s best efficiency point. Thus, 300 different systems are optimized for each control strategy and compared to the constant speed control. The results are analyzed and the relevant system’s parameters, which have the most significant impact on energy savings, are shown. This theoretical energy–saving potential is verified with measurements, which show the high impact of the part load losses of the frequency converter and the electric motor. A law for identifying and estimation potential energy savings is developed using this information. Four use cases are analyzed with this law. It is shown that for a cost-minimal operation, not only the savings potential but also the operating time is decisive.

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Finding Least-Cost Pump Schedules for Reservoir Filling with a Variable Speed Pump

Cited by 21 publications

References 12 publications

Analysis of different operational control strategies for drinking water pump-tank systems: a case study

Analysis of different operational control strategies for drinking water pump-tank systems: a case study

Optimization Methodology for Estimating Pump Curves Using SCADA Data

Energy-saving potential for centrifugal pump storage operation using optimized control schemes

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