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首页> 外文期刊>Experimental Thermal and Fluid Science: International Journal of Experimental Heat Transfer, Thermodynamics, and Fluid Mechanics >An optimization routine on a prediction and selection model for the turbine operation of centrifugal pumps
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An optimization routine on a prediction and selection model for the turbine operation of centrifugal pumps

机译：离心泵涡轮运行的预测和选择模型的优化程序

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摘要

The paper presents an experimentally validated optimization routine for the turbine-mode operation of radial flow centrifugal pumps. The optimization routine outlined here is designed to be used with prediction (predicting turbine mode characteristics of a pump) and selection (selecting the most appropriate pump for turbine-mode operation) models. The optimization routine improves upon previous uncertainties in prediction, especially in the low specific speed range. The optimization routine is evaluated experimentally for three pumps with specific speeds of 18.2 rpm, 19.7 rpm and 44.7 rpm, and a significant improvement in the accuracy of the turbine predictions with the errors for all the three pumps falling within the ±4% acceptance bands in the full load operating region is found. It is also shown how the optimization routine validates an approach to selection and prediction based on model experiments and classical principles of applied turbomachinery (specific speed-specific diameter or the Cordier/Balje plots). Such an approach is shown to be the most economic in terms of pump mode input variables. The paper recommends the extensive use of the optimization routine in micro hydro and other energy recovery projects involving pumps as turbines and the creation of a database of accurate field results that can be used to improve the routine further.
机译：本文介绍了经过实验验证的径向流离心泵的涡轮模式运行优化程序。此处概述的优化例程旨在与预测（预测泵的涡轮模式特性）和选择（为涡轮模式运行选择最合适的泵）模型一起使用。优化程序改善了先前的预测不确定性，尤其是在低比速度范围内。对三个速度分别为18.2 rpm，19.7 rpm和44.7 rpm的泵进行实验评估了优化程序，并显着提高了涡轮机预测的精度，所有三个泵的误差均落在±4％接受范围内。找到满负载工作区域。还显示了优化例程如何基于模型实验和应用涡轮机械的经典原理（特定于速度的特定直径或Cordier / Balje图）来验证选择和预测的方法。就泵模式输入变量而言，这种方法被证明是最经济的。本文建议在微水力发电和其他能源回收项目（包括泵作为涡轮机）中广泛使用优化例程，并创建一个准确的现场结果数据库，该数据库可用于进一步改进该例程。

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