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基于多工况应用场景的管道微型水轮机性能精准优化

Precision optimization of pipeline-type micro-hydraulic turbine performance under multi-operating-condition application scenarios

  • 摘要: 管道微型水轮机在灌溉管道能量回收中具有应用潜力,但叶轮参数与水力性能关系复杂,缺乏系统的筛选方法,导致发电效率与水力稳定性难以兼顾,且不同管径下叶轮参数的适配规律尚不明确,优化后的叶轮构型对水肥密度与地形落差等关联工况的性能响应亦缺乏研究。针对上述问题,该研究提出一种基于联合仿真,并结合流场可视化分析的精准优化方法。首先在基准工况下,以叶片数与叶轮转角为变量,通过30组瞬态仿真确定额定转速区间,再以66组稳态仿真确定不同组合下的功率、水头损失与水力效率,进而筛选出较优组合范围。最后经流场云图分析确定最优组合,并在灌溉管道试验平台上,与市售24叶片产品在相同压力梯度(0.06~0.26 MPa)下进行功率对比测试,以几何相似准则评估较优组合在32、90、110 mm管径下的转角适配性,再以32 mm(灌溉支管)、90 mm(灌溉干管)为对象,仿真分析不同水肥密度(1000~1200 kg/m3)与落差(4、8 m)下的功率及流场稳定性。结果表明:当叶片数为20时,转角在75°~77°范围内性能较优,76°转角综合性能最优,实测功率趋势与仿真一致,且优于24叶片产品。32 mm、90 mm管径以76°转角为优,110 mm管径以75°为优。水肥密度和地形落差增大时功率显著提升,90 mm管径在8 m落差下功率约2700 W,具备支持主干管道较大功率供能潜力,且流场保持稳定;32 mm管径功率约245 W,具备支持低功耗传感器节点的供能潜力,但在高落差下流场出现扰动与回流。该研究探究了管径与转角适配关系,以及水肥密度、落差对功率与流场的影响,可为管道微型水轮机参数筛选提供方法和数据。

     

    Abstract: Pipeline hydropower generation is one of the most important means for green energy and wireless operation in smart irrigation. Micro-hydraulic turbines can be expected for energy recovery from irrigation pipelines. However, it is often required for systematic screening to balance power generation efficiency and hydraulic stability, due mainly to the complex relationship between impeller parameters and hydraulic performance. Moreover, blade angle can be expected to adjust with pipe diameters under various parameters, such as water-fertilizer solution density and terrain head. In this study, a precise optimization was proposed to integrate transient–steady simulations and flow field visualization. (1) 30 transient simulations were conducted to determine the rated speed range using dynamic mesh technology, followed by 66 steady-state simulations to evaluate power, head loss, and hydraulic efficiency. The optimal configuration was identified after flow field contour analysis. Power comparison tests were also conducted on a simulated irrigation pipeline platform under inlet pressures of 0.06–0.26 MPa. Blade angle adaptability of the optimal impeller was assessed under 32, 90, and 110 mm pipe diameters, according to geometric similarity criteria. A systematic simulation was also conducted to determine power output and flow field stability under fertigation solution densities (1 000–1 200 kg/m3) and terrain height differences (4 and 8 m). The results showed that the impeller with 20 blades and a blade angle of 76° achieved the best overall performance under baseline conditions, thus delivering the maximum output power and hydraulic efficiency with the lowest head loss. Internal flow fields showed that the blade angle preserved a uniform velocity gradient to suppress flow separation for stable flow paths. The uniform pressure distribution moderately intensified the high-pressure zone without severe impact losses. Streamline diagrams further confirmed that the flow closely followed the blade surfaces with negligible backflow. Physical experiments verified that the optimal design outperformed a commonly used 24-blade commercial turbine over a wide range of inlet pressures. The optimal blade angle varied with pipe diameter, due to the different internal velocity distribution and fluid inertia. Specifically, the optimal blade angle of 76° was recommended for 32 and 90 mm pipes to enhance flow guidance, whereas 75° was recommended for 110 mm pipes to avoid flow separation for streamline smoothness. Power output increased markedly with higher fertigation solution density; Main pipes with larger flow areas were more sensitive to density, but excessive density induced flow disturbances, vortex intensification, and backflow in smaller pipes. Power output also rose substantially with greater terrain heights. In the 90 mm main pipe, the output reached 2 700 W under an 8 m head difference, indicating considerable power supply potential with a stable and orderly flow field. In the 32 mm branch pipe, the output was about 245 W, sufficient to power low-power sensor nodes, although local turbulence was observed at larger drops. The optimal impeller parameters were identified using transient–steady simulation rather than single-indicator evaluation. Blade parameters can be adjusted for actual performance in practice. These findings can provide practical guidance to optimize micro-hydro turbines in modern agriculture, particularly in hilly orchard irrigation.

     

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