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Optimization of the co-closing law of guide vanes and blades for bulb turbines based on CFD

作     者:Hui Liu Yun-fa Lin Yong-guang Cheng Song Xue Mao-jia Tang Jian Zhang Jia-yi Fan Hui Liu;Yun-fa Lin;Yong-guang Cheng;Song Xue;Mao-jia Tang;Jian Zhang;Jia-yi Fan

作者机构:State Key Laboratory of Water Resources Engineering and ManagementWuhan UniversityWuhan430072China Dongfang Electric Machinery Co.Ltd.Deyang618000China 

出 版 物:《Journal of Hydrodynamics》 (水动力学研究与进展B辑(英文版))

年 卷 期:2024年第36卷第2期

页      面:363-377页

核心收录:

学科分类:080103[工学-流体力学] 08[工学] 080104[工学-工程力学] 081502[工学-水力学及河流动力学] 0815[工学-水利工程] 0801[工学-力学(可授工学、理学学位)] 

基  金:Project supported by the National Natural Science Foundation of China (Grant Nos.51839008 51909226) 

主  题:Bulb turbine load rejection transient process double regulation closing law optimization computational fluid dynamics(CFD) 

摘      要:The load rejection transient process of bulb turbine units is critical to safety of hydropower stations,and determining appropriate closing laws of guide vanes(GVs)and runner blades(RBs)for this process is of *** this study,we proposed a procedure to optimize the co-closing law of GVs and RBs by using computational fluid dynamics(CFD),combined with the design of experiment(DOE)method,approximation model,and genetic optimization *** sensitivity of closing law parameters on the histories of head,speed,and thrust was analyzed,and a two-stage GVs’closing law associating with a linear RBs’closing law was *** results show that GVs dominate the transient characteristics by controlling the change of *** GVs’first-stage closing speed while shortening first-stage closing time can not only significantly reduce the maximum rotational speed but also suppress the water hammer pressure;slowing GVs’second-stage closing speed is conducive to controlling the maximum reverse axial *** directly affect the runner *** RBs’closing speed can further reduce the rotational speed and the maximum reverse axial *** safety margin of each control parameter,flow patterns,and pressure pulsations of a practical hydropower station were all improved after optimization,demonstrating the effectiveness of this method.

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