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In the context of global energy transition, the utilization of residual energy from industrial recycled water and tail water has become a new path for energy efficiency improvement. This study focuses on the technology of capturing residual energy from low head (1.18–3.37 m) and high flow (maximum 142.2 m3/s) tailwater for power generation, and reveals its significant residual energy and development potential through hydraulic characteristic analysis. The research focuses on the optimization of turbine selection, combined with head, flow rate, and adaptability to operating conditions. Computational fluid dynamics (CFD) simulation is used to achieve multi-objective optimization of impeller shape, blade parameters, and channel structure, achieving an energy conversion efficiency of 82.3% and suppressing cavitation. Empirical evidence shows that this technology can seamlessly integrate into the plant power system or grid, reduce the plant power consumption rate and increase electricity generation. A single unit can reduce CO2 emissions by about 6000 tons per year, with an internal rate of return exceeding 15% and an investment payback period of less than 10 years. The research results provide efficient solutions for industrial waste energy recycling, with both economic and environmental benefits, and have demonstrative significance for promoting energy conservation and emission reduction.

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Research on Residual Energy Capture and Power Generation Technology for Low Head and High Flow Circulating Water Tail Water

  • 会议论文

  • 发表日期：

    2026年

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  • Hairui Wang,
  • Jianghua Zeng,
  • Xiangdong Zhang,
  • Zhengjun Zhang

摘要

In the context of global energy transition, the utilization of residual energy from industrial recycled water and tail water has become a new path for energy efficiency improvement. This study focuses on the technology of capturing residual energy from low head (1.18–3.37 m) and high flow (maximum 142.2 m3/s) tailwater for power generation, and reveals its significant residual energy and development potential through hydraulic characteristic analysis. The research focuses on the optimization of turbine selection, combined with head, flow rate, and adaptability to operating conditions. Computational fluid dynamics (CFD) simulation is used to achieve multi-objective optimization of impeller shape, blade parameters, and channel structure, achieving an energy conversion efficiency of 82.3% and suppressing cavitation. Empirical evidence shows that this technology can seamlessly integrate into the plant power system or grid, reduce the plant power consumption rate and increase electricity generation. A single unit can reduce CO2 emissions by about 6000 tons per year, with an internal rate of return exceeding 15% and an investment payback period of less than 10 years. The research results provide efficient solutions for industrial waste energy recycling, with both economic and environmental benefits, and have demonstrative significance for promoting energy conservation and emission reduction.