Next Article in Journal
Water Environmental Capacity Calculation Based on Control of Contamination Zone for Water Environment Functional Zones in Jiangsu Section of Yangtze River, China
Next Article in Special Issue
Integrative Approach for Groundwater Pollution Risk Assessment Coupling Hydrogeological, Physicochemical and Socioeconomic Conditions in Southwest of the Damascus Basin
Previous Article in Journal
Optimal Solutions for the Use of Sewage Sludge on Agricultural Lands
Previous Article in Special Issue
Study on the Performance Improvement of Axial Flow Pump’s Saddle Zone by Using a Double Inlet Nozzle
Article

Optimization Methodology for Estimating Pump Curves Using SCADA Data

1
Department of Natural Resources and Environmental Management, University of Haifa, Haifa 3498838, Israel
2
Civil and Environmental Engineering, Technion, Haifa 32000003, Israel
*
Author to whom correspondence should be addressed.
Academic Editor: Joaquim Sousa
Water 2021, 13(5), 586; https://doi.org/10.3390/w13050586
Received: 25 January 2021 / Revised: 17 February 2021 / Accepted: 19 February 2021 / Published: 24 February 2021
(This article belongs to the Special Issue Application of Smart Technologies in Water Resources Management)
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. View Full-Text
Keywords: pump curves; water distribution systems modeling; pump monitoring by SCADA pump curves; water distribution systems modeling; pump monitoring by SCADA
Show Figures

Figure 1

MDPI and ACS Style

Salomons, E.; Shamir, U.; Housh, M. Optimization Methodology for Estimating Pump Curves Using SCADA Data. Water 2021, 13, 586. https://doi.org/10.3390/w13050586

AMA Style

Salomons E, Shamir U, Housh M. Optimization Methodology for Estimating Pump Curves Using SCADA Data. Water. 2021; 13(5):586. https://doi.org/10.3390/w13050586

Chicago/Turabian Style

Salomons, Elad, Uri Shamir, and Mashor Housh. 2021. "Optimization Methodology for Estimating Pump Curves Using SCADA Data" Water 13, no. 5: 586. https://doi.org/10.3390/w13050586

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop