Jiangsu Haifa Machinery Manufacturing Co., Ltd.

In 2026, energy saving in industrial pumps is shifting from efficiency optimization at rated operating conditions to dynamic safe operation across a wide speed range and full life-cycle energy consumption management. "Identification and Evaluation of Dynamic Safe Operating Envelope of Variable-Frequency Pumps Based on MLP-EWM Model," published in Water Resources and Power, 2026, Issue8, uses a multilayer perceptron (MLP to establish nonlinear mappings among rotational speed, flow rate head, efficiency, and net positive suction head required (NPSHr), and combines the entropy weight method (EWM) to construct a safety situation index. The coefficient of determination on the test exceeds 0.999, and the operating envelope is divided into a core optimization zone, a recommended operating zone, and a boundary warning zone, providing a new approach for intelligent scheduling of variable-frequency pumps. International research is further focusing on energy consumption trajectories under dynamic operating conditions. In 2026, Energy Conversion and Management proposed a pump selection framework based on the preferred operating region (POR) and energy envelope; the Journal of Clean Production studied multi-objective closed-loop scheduling of variable-speed pumping stations, coordinating water supply demand, operating efficiency, and electricity price variations. These studies are driving pump systems from single-point efficiency evaluation toward Dynamic Operating Envelope, Specific Energy Consumption, and Data-Driven Pump Optimization. Jiang Haifa Machinery Manufacturing Co., Ltd.www.jslgpump.com) selection analysis and intelligent operation and maintenance research and development for 610 OH series process pumps, BB3/BB5 high-pressure multistage pumps, and VS series vertical pumps. By integrating factory performance curves, variable-frequency test data, system resistance curves, and on-site operating parameters, it can evaluate the high-efficiency zone, NPSH safety margin, continuous stable flow, and shaft power variation at different rotational speeds, gradually forming a Pump Operating Envelope Map and a Variable-Speed Pump Model. In the future, Jiangsu Haifa can explore combining CFD hydraulic analysis, machine learning prediction, and on-site monitoring to provide more refined pump efficiency evaluation and energy-saving retrofit recommendations for petrochemical, energy, and industrial water supply projects. It should be emphasized that model accuracy depends on sample coverage, pump type, and operating condition validation; test from a single pumping station cannot directly represent all industrial pumps. Only by continuously accumulating test data and validating operating boundaries can intelligent algorithms be translated into reliable engineering value. References Chinese literature 1. Yang Weipei, Matao, Liang Shanding, et al.: "Identification and Evaluation of Dynamic Safe Operating Envelope of Variable-Frequency Pumps Based MLP-EWM Model," Water Resources and Power, 2026, 44(8): 142–147 2. An energy-based framework for selecting centrifugal pumps under slow transient operation. Energy Conversion and Management, 6, 365, 121807. DOI: 10.101/j.enconman.6.121807. 3. Song,., Zhang, G.,, H., et. Optimal operation strategy for energy saving and cost reduction in variable-speed pumping stations: A-level multi-objective closed-loop control method coupling water-volume decomposition with intraday operation. Journal of Cleaner Production 2026, , 148044. 4. High-efficiency pump model dataset: AI-optimization benchmark and CFD-experimental validation. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2026. DOI

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