Guan'gai paishui xuebao (Apr 2025)

Key factors influencing electricity-to-water conversion coefficient in small irrigation pumping stations

  • ZHAO Defang,
  • YANG Lihu,
  • DU Chaoyang,
  • LIU Enmin,
  • ZHANG Chunyue,
  • HE Wangang

DOI
https://doi.org/10.13522/j.cnki.ggps.2024290
Journal volume & issue
Vol. 44, no. 4
pp. 57 – 64

Abstract

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【Background and Objective】The electricity-to-water conversion coefficient is a key parameter for assessing the efficiency of pumping stations. This study investigates the factors influencing this coefficient in small irrigation pump stations and proposes a method for its calculation.【Method】The analysis was based on energy balance principles, from which we developed a new conceptual model for calculating the electricity-to-water conversion coefficient in pump stations. The primary influencing factors were identified, and a numerical experimental system was established to examine the impact of factors such as head lift, outlet location, and water table depth. Two models, one based on head pressure-water depth (PWT), and the other one based on the electricity-to-water constant and pump efficiency (PWNT), were proposed to calculate the relationship between the electricity-to-water conversion coefficient and the influencing factors.【Result】The electricity-to-water conversion coefficient was found to be dynamically variable, with head lift being the most significant influencing factor. Additionally, monitoring pump outlet pressure and water table depth during irrigation was essential for adaptively adjusting the conversion coefficient. Comparison with experimental data confirmed the accuracy of both models, with determination coefficients of 0.983 1 for the PWT model and 0.998 5 for the PWNT model.【Conclusion】Both the PWT and PWNT models effectively control metering errors within 1.5% to 3%, offering a practical and reliable method for measuring the electricity-to-water conversion coefficient in small irrigation pump stations. The proposed approach simplifies in situ measurements, thereby enhancing measurement accuracy and reliability. These improvements are crucial for increasing water use efficiency and optimizing water resource management in irrigation districts.

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