Development of a Complete Methodology to Reconstruct, Optimize, Analyze and Visualize Francis Turbine Runners

Tsuzuki, Marcos de Sales Guerra; Vatanabe, Sandro L.; Castro, Emiliano Gonçalves de; Silva, Emilío Carlos Nelli; Martins, Thiago C.; Taniguchi, Denis; Makiyama, Humberto S.; Sato, Ayami; Gallo, Giulliano Batelochi; Garcia, Marcos A. A.; Tiba, Hamilton

doi:10.1016/j.ifacol.2015.06.364

Cited by 3 publications

(1 citation statement)

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“…The existing multi-condition optimal design mainly focuses on improving the operational performance of the high-load area, and is not suitable for the hydraulic unit under the condition of multi-energy complementary. Therefore, based on the super-transfer approximation method proposed by Narasimhan [15][16][17], this paper comprehensively considers the frequency of the turbine in different operating conditions, determines the operating weight factor of the different operating conditions in the optimization design process, and predicts the hydraulic performance, which is more suitable for the hydroelectric unit in the new power system. The weight factor comparison of each working condition after optimization is shown in Figure 2.…”

Section: Super-transitive Approximate Methodsmentioning

confidence: 99%

Optimization and Performance Analysis of Francis Turbine Runner Based on Super-Transfer Approximate Method under Multi-Energy Complementary Conditions

et al. 2022

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Hydropower unit is the compensation power generation of the energy regulating unit in wind–solar–water multi-energy complementary systems that often require the turbine to operate in a partial working condition area, thereby resulting in problems of low hydraulic efficiency and severe vibration during operation. A multi-objective and multi-condition optimization design method for Francis turbine runner based on the super-transfer approximation approach was proposed in this study. The proposed method aims to improve the hydraulic performance of the turbine, enhance and suppress the vibration of the turbine, and expand the operation range of the turbine on the basis of the actual situation given that Francis turbine frequently operates in low- and ultralow-load areas under the condition of multi-energy complementarity and continuous adjustment of operating conditions. Different operating conditions from low load to full load were selected as performance evaluation conditions. The super-transfer approximation method was used to select the weight co-efficient of water turbine operating conditions, and a multi-objective optimization function with the efficiency and cavitation performance of the water turbine as optimization objectives was constructed to ensure that the optimized water turbine can achieve the optimal performance in the full working condition range. Results showed that the pressure distribution on the blade surface of the optimized runner was uniform and the working ability was enhanced under the condition of ensuring the performance stability of optimal and rated conditions when the original runner was optimized. The hydraulic efficiency of the turbine under the low-load conditions OP1 and OP2 increased by 4.61 and 3.17%, respectively. Hence, the optimized runner is suitable for hydraulic turbines under multi-energy complementary conditions. The results of this study can provide a reference for the optimal design and operation of the turbine runner.

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Section: Super-transitive Approximate Methodsmentioning

confidence: 99%