posted on 2025-08-22, 00:56authored byDaniel Weintrob, Mashor Housh
<p dir="ltr">Pumping stations in water supply systems often face dynamic load conditions that result in varying flows and heads. To cope with this, traditional pump station configurations can either rely on parallel Fixed Speed Pumps (FSPs), which are operated to provide varying flow ranges, or utilize Variable Speed Pumps (VSPs) to adjust the pumping station's flow. However, in many scenarios, such an operation may fall away from the pumps' Best Efficiency Points (BEPs). This leads to energy losses, increased mechanical wear, and elevated maintenance costs. Herein, we propose an innovative pump station architecture that ensures consistent operation at the BEPs across varying flow conditions. Our approach integrates both FSPs and VSPs to adaptively manage pump performance while explicitly separating the static head from the dynamic head of the system.</p><p dir="ltr">The proposed architecture divides the system characteristic curve into two parts, static and dynamic heads. The static head is handled through multiple FSPs operating in parallel, while the dynamic head is handled by VSPs. This separation guarantees that the best efficiency conditions of the FSPs are not lost under varying flow conditions. Furthermore, the homologous points (i.e., iso-efficiency lines) of the VSPs guarantee that the BEPs are also maintained in the VSPs by designing them to handle only the dynamic head loss of the system. This alignment enables the pumping station (the combination of FSPs and VSPs) to operate optimally across a wide range of flow conditions.</p><p dir="ltr">A simulation, reflecting realistic operating scenarios and variable demand patterns, demonstrates the advantage of the new architecture, where specific energy saving of 5.5% was observed. We note that even small efficiency gains are significant in large-scale stations, leading to substantial reduced operation cost, energy savings, and reduced greenhouse gas emissions. Our proposed architecture offers a viable, sustainable solution to modern water infrastructure challenges by improving energy, lowering operational costs, and extending equipment lifespan, while supporting broader environmental objectives.</p><p dir="ltr">This paper was presented at the 21st Computing and Control in the Water Industry Conference (CCWI 2025) at the University of Sheffield (1st - 3rd September 2025).</p>
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