Науковий вісник НГУ

Effect of circumferential lean of pump-turbine runner blades on energy characteristics

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №3 2024

Last Updated on 28 June 2024

Published on 30 November -0001

Hits: 2583

Authors:

O.M.Khoryev, orcid.org/0000-0001-6940-4183, Anatolii Pidhornyi Institute of Mechanical Engineering Problems of National Academy of Sciences of Ukraine, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.V.Lynnyk, orcid.org/0000-0003-1946-3032, JSC “Ukrainian Energy Machines”, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

P.O.Korotaiev, orcid.org/0000-0002-7473-9508, Anatolii Pidhornyi Institute of Mechanical Engineering Problems of National Academy of Sciences of Ukraine, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yu.A.Bykov*, orcid.org/0000-0001-7089-8993, Anatolii Pidhornyi Institute of Mechanical Engineering Problems of National Academy of Sciences of Ukraine, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ye.S.Ahibalov, orcid.org/0000-0003-3866-9992, Anatolii Pidhornyi Institute of Mechanical Engineering Problems of National Academy of Sciences of Ukraine, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (3): 056 - 062

https://doi.org/10.33271/nvngu/2024-3/056

Abstract:

Purpose. Improving the efficiency of the model of the radial-axial pump-turbine of the Dniester PSP based on spatial profiling of runner blades using circumferential lean.

Methodology. The design of the new runners was carried out by means of spatial profiling of the blades, which differed only in the layout of the profiles (relative position) in the circumferential direction. The blades of the runner models with a diameter of 350 mm were manufactured by 3D printing from PLA plastic. Experimental studies were carried out on the IMEP ECS-30 hydrodynamic test stand, the characteristics of which meet the requirements of the international standard for model acceptance tests of hydraulic machines of various types.

Findings. Based on the proposed method of spatial profiling of runner blades, the effect of circumferential lean on the energy performance of pump-turbines is investigated. Characteristics in a wide range of turbine and pump modes of operation of three variants of flow parts are obtained. Parameters of optimal modes and values of maximum efficiency are calculated. A comparison of the energy characteristics in the turbine mode at the constant rotation speed corresponding to the maximum, design and minimum heads of the Dniester PSP is presented. In the pump mode, the dependences of the efficiency curves and heads on flow rate at different values of guide vane openings are shown.

Originality. The influence of circumferential lean (spatial profiling) of the runner blades of a radial-axial pump-turbine on the energy characteristics in the turbine and pump modes was established for the first time, which made it possible to significantly increase the level of efficiency in almost the entire range of turbine operating mode.

Practical value. The newly designed high-performance runner is planned to be implemented at hydraulic units 5–7 of the Dniester PSP. To confirm the results, it is intended to manufacture and study large-scale models of pump turbines with metal runners together with JSC “Ukrainian Power Machines”.

Keywords: pump-turbine, Francis turbine, runner, hydrodynamic test stand, experimental studies

References.

1. European Commission (2023). 2050 long-term strategy. Retrieved from https://climate.ec.europa.eu/eu-action/climate-strategies-targets/ 2050-long-term-strategy_en.

2. IRENA (2023). IRENA Renewable Energy Statistics 2022. Retrieved from https://www.irena.org/publications/2022/Jul/Renewable-Energy-Statistics-2022.

3. IHA (2023). IHA 2022 Hydropower Status Report. Retrieved from https://www.hydropower.org/publications/2022-hydropower-status-report.

4. Hunt, J. D., Zakeri, B., Nascimento, A., & Brandão, R. (2022). Pumped hydro storage (PHS). In T. M. Letcher: Storing Energy (2 ^nd ed., pp. 37-65). Elsevier. https://doi.org/10.1016/B978-0-12-824510-1.00008-8.

5. Flores, E., Bornard, L., Tomas, L., Liu, J., & Couston, M. (2012). Design of large Francis turbine using optimal methods. IOP Conf. Series: Earth and Environmental Science, 15, 022023. https://doi.org/ 10.1088/1755-1315/15/2/022023.

6. Abeykoon, C. (2022). Modelling and Optimisation of a Kaplan Turbine – A Comprehensive Theoretical and CFD Study. Cleaner Energy Systems, 3, 100017. https://doi.org/10.1016/j.cles.2022.100017.

7. Du, J., Ge, Z., Wu, H., Shi, X., Yuan, F., Yu, W., Wang, D., & Yang, X. (2022). Study on the effects of runner geometric parameters on the performance of micro Francis turbines used in water supply system of high-rise buildings. Energy, 256, 124616. https://doi.org/10.1016/ j.energy.2022.124616.

8. Cerriteño, A., Delgado, G., Galván, S., Dominguez, F., & Ramí­rez, R. (2021). Reconstruction of the Francis 99 main runner blade using a hybrid parametric approach. IOP Conference Series: Earth and Environmental Science, 774, 012074. https://doi.org/10.1088/1755-1315/774/1/012074.

9. Rusanov, A., Rusanov, R., & Lampart, P. (2015). Designing and updating the flow part of axial and radial-axial turbines through mathematical modeling. Open Engineering, 5, 399-410. https://doi.org/10.1515/eng-2015-0047.

10. Delgado, G., Galván, S., Dominguez-Mota, F., García, J. C., & Valencia, E. (2020). Reconstruction methodology of a Francis runner blade using numerical tools. Journal of Mechanical Science and Technology, 34, 1237-1247. https://doi.org/10.1007/s12206-020-0222-4.

11. Leguizamón, S., & Avellan, F. (2020). Open-source implementation and validation of a 3D inverse design method for Francis turbine runners. Energies, 13, 2020. https://doi.org/10.3390/en13082020.

12. Rusanov, A., Subotin, V., Shvetsov, V., Rusanov, R., Palkov, S., Palkov, I., & Chugay, M. (2022). Application of innovative solutions to improve the efficiency of the LPC flow part of the 220 MW NPP steam turbine. Archives of Thermodynamics, 43(1), 63-87. https://doi.org/10.24425/ather.2022.140925.

13. Ma, Z., Zhu, B., Rao, C., & Shangguan, Y. (2019). Comprehensive hydraulic improvement and parametric analysis of a Francis turbine runner. Energies, 12, 307. https://doi.org/10.3390/en12020307.

14. Ye, W., Geng, C., & Luo, X. (2022). Unstable flow characteristics in vaneless region with emphasis on the rotor-stator interaction for a pump turbine at pump mode using large runner blade lean. Renewable Energy, 185, 1343-1361. https://doi.org/10.1016/j.renene.2021.12.129.

15. Kim, S.-J., Choi, Y.-S., Cho, Y., Choi, J.-W., & Kim, J.-H. (2019). Effect of blade thickness on the hydraulic performance of a Francis hydro turbine model. Renewable Energy, 134, 807-817. https://doi.org/10.1016/j.renene.2018.11.066.

16. Yu, Z.-F., Wang, W.-Q., Yan, Y., Wang, H.-Y., & Wu, W.-L. (2022). Evaluating energy-efficiency improvement of variable-speed operation with the help of entropy: A case study of low-head Francis turbine. Sustainable Energy Technologies and Assessments, 53, 102468. https://doi.org/10.1016/j.seta.2022.102468.

17. Iliev, I., Tengs, E.O., Trivedi, C., & Dahlhaug, O.G. (2020). Optimization of Francis turbines for variable speed operation using surrogate modeling approach. Journal of Fluids Engineering, 142, 101214. https://doi.org/10.1115/1.4047675.

18. Tengs, E., Charrassier, F., Jordal, M. R., & Iliev, I. (2021). Fully automated multidisciplinary design optimization of a variable speed turbine. IOP Conference Series: Earth and Environmental Science, 774, 012031. https://doi.org/10.1088/1755-1315/774/1/012031.

19. Lee, N.-J., Hwang, Y.-C., Inagaki, M., & Miyagawa, K. (2021). Design Optimization of High Specific Speed Prototype Francis Turbine by Design of Experiments. Journal of Physics: Conference Series, 1909(1), 012047. https://doi.org/10.1088/1742-6596/1909/1/012047.

20. Qin, Y., Li, D., Wang, H., Liu, Z., Wei, X., & Wang, X. (2022). Multi-objective optimization design on high pressure side of a pump-turbine runner with high efficiency. Renewable Energy, 190, 103-120. https://doi.org/10.1016/j.renene.2022.03.085.

21. Lestriez, R., Calvo, D., & Mendicino, D. (2021). Advanced Optimization Tools for Hydro Turbine Runner Design. IOP Conference Series: Earth and Environmental Science, 774, 012001. https://doi.org/10.1088/1755-1315/774/1/012001.

22. Aponte, R. D., Teran, L. A., Grande, J. F., Coronado, J. J., Ladino, J. A., Larrahondo, F. J., & Rodríguez, S. A. (2020). Minimizing erosive wear through a CFD multi-objective optimization methodology for different operating points of a Francis turbine. Renewable Energy, 145, 2217-2232. https://doi.org/10.1016/j.renene.2019.07.116.

23. Linnik, A. V., Ryabova, S. A., Varenko, V. D., Ryabov, A. V., & Khoryev, O. N. (2016). Calculated and experimental studies of the flow paths of PL20 turbines to modernize the Kremenchug hydroelectric power station hydro turbines. Journal of Mechanical Engineering, 19, 12-19. https://doi.org/10.15407/pmach2016.03.012.

24. Khoryev, O., Korotaiev, P., Agibalov, Y., Bykov, Y., & Maksymenko-Sheiko, K. (2023). Experimental Studies of Pump-Turbine Flow Part Models at Heads of 80–120 m. In H. Altenbach: Advances in Mechanical and Power Engineering. CAMPE 2021. Lecture Notes in Mechanical Engineering, (pp. 24-33). Springer, Cham. https://doi.org/10.1007/978-3-031-18487-1_3.

25. Bykov, Y., Khoryev, O., Korotaiev, P., Dedkov, V., & Agibalov, Y. (2022). Numerical Investigation of Unsteady Flow in Draft Tube with Ribs. In Proc. of 2022 IEEE KhPI Week on Advanced Technology, (pp. 589-594). IEEE. https://doi.org/10.1109/KhPIWeek57572.2022. 9916461.

26. Rusanov, A., Chugay, M., & Rusanov, R. (2023). Advanced Computer Technologies in the New Flow Part Development for Reactive Type HPC Steam Turbine of T-100 Series. In H. Altenbach: Advances in Mechanical and Power Engineering. CAMPE 2021. Lecture Notes in Mechanical Engineering, (pp. 55-63). Springer, Cham. https://doi.org/10.1007/978-3-031-18487-1_6.

27. Rusanov, A. V., Subotin, V. H., Khoryev, O. M., Bykov, Y. A., Korotaiev, P. O., & Ahibalov, Y. S. (2022). Effect of 3D Shape of Pump-Turbine Runner Blade on Flow Characteristics in Turbine Mode. Journal of Mechanical Engineering, 25, 6-13. https://doi.org/10.15407/pmach2022.04.006.

28. Rusanov, A., & Rusanov, R. (2021). The influence of stator-rotor interspace overlap of meridional contours on the efficiency of high-pressure steam turbine stages. Archives of Thermodynamics, 42(1), 97-114. https://doi.org/10.24425/ather.2021.136949.

29. Rusanov, A., Rusanov, R., Klonowicz, P., Lampart, P., Żywica, G., & Borsukiewicz, A. (2021). Development and experimental validation of real fluid models for CFD calculation of ORC and steam turbine flows. Materials, 14(22), 6879. https://doi.org/10.3390/ma14226879.

30. Rusanov, A., Shubenko, A., Senetskyi, O., Babenko, O., & Rusanov, R. (2019). Heating modes and design optimization of cogeneration steam turbines of powerful units of combined heat and power plant. Energetika, 65(1), 39-50. https://doi.org/10.6001/energetika.v65i1.3974.

31. Rusanov, A. V., Kostikov, A. O., Shubenko, O. L., Kharlampidi, D. K., Tarasova, V. O., & Senetskyi, O. V. (2019). Highly efficient cogeneration power plant with deep regeneration based on air Brayton cycle. Journal of Mechanical Engineering, 22(4), 12-23. https://doi.org/10.15407/pmach2019.04.012.

• < Prev
• Next >