A Numerical Study on the Energy Dissipation Mechanisms of a Two-Stage Vertical Pump as Turbine Using Entropy Generation Theory

Document Type : Regular Article

Authors

1 State Key Laboratory of Hydro-Power Equipment, Harbin Institute of Large Electric Machinery, Harbin 150040, China

2 School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

3 College of Power and Energy Engineering, Harbin, Harbin Engineering University, Harbin 150000, China

Abstract

Utilizing a two-stage vertical pump as turbine (TVPAT) is an economically method for constructing small-scale pumping and storage hydropower stations at high head-low discharge sites, such as underground coal mines. The energy dissipation mechanisms in flow passages are theoretically important for performance prediction and geometric parameter optimization. In this paper, the energy dissipation within the TVPAT has been studied using entropy generation theory, which can be applied to visual, locate and quantify energy dissipation. The numerical solution of entropy dissipation components was extracted on turbine modes in different flow rates using the steady-state single-phase SST k-ω turbulence model. The numerical results show that the energy dissipation in TVPAT mainly comes from turbulent fluctuation (43.6%-72.1%) and blade surface friction (27.8%-58.2%). The runners are the main source of turbulent entropy (SD′  ) generation (47.2%-83.3%). The contribution of the return channel and spiral case to the  generation under overload conditions is significant, accounting for 33.6% and 14.3 at 1.3QBEP, respectively. Flow field analysis reveals that high  generation within a runner are located in the striking flow region of the leading edge, the flow squeezing region in the blade channel, and the wake region of tailing edge. The mismatch between the placement angle of the blades or guide vanes and the liquid flow angle is an important incentive for SD′ generation. Moreover, hydraulic energy is consumed through the interaction between mainstream and local inferior flows such as separation and vortices, as well as the striking and friction between local fluid and wall surfaces.

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Barbarelli, S., Amelio, M., Florio, G., & Scornaienchi, N. M. (2017). Procedure selecting pumps running as turbines in micro hydro plants. Energy Procedia, 126, 549-556. https://doi.org/10.1016/j.egypro.2017.08.282
Binama, M., Su, W. T., Li, X. B., Li, F. C., Wei, X. Z., & An, S. (2017). Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes: A state-of-the-art review. Renewable and Sustainable Energy Reviews, 79, 148-179. http://dx.doi.org/10.1016/j.rser.2013.11.030
Barrio, R., Fernández, J., Parrondo, J., & Blanco, E. (2010). Performance prediction of a centrifugal pump working in direct and reverse mode using computational fluid dynamics. International conference on renewable energies and power quality, Granada, Spain. https://doi.org/10.1016/j.renene.2017.02.045
Blomquist, C. A., Frigo, A. A., & Degnan, J. R. (1979). Evaluation of advanced hydraulic turbomachinery for underground pumped hydroelectric storage. Part 2. Two-stage regulated pump/turbines for operating heads of 1000 to 1500 m. Argonne National Lab., United States, USA. https://doi.org/10.2172/6716879
Duan. L., Wu. X., Ji. Z., & Fang. Q. (2015). Entropy generation analysis on cyclone separators with different exit pipe diameters and inlet dimensions. Chemical Engineering Science, 138, 622-633. https://doi.org/10.1016/j.ces.2015.09.003
Derakhshan, S., & Nourbakhsh, A. (2008a). Experimental study of characteristic curves of centrifugal pumps working as turbines in different specific speeds. Experimental Thermal and Fluid Science, 32, 800-7. https://doi.org/10.1016/j.expthermflusci.2007.10.004
Derakhshan, S., & Nourbakhsh, A. (2008b). Theoretical, numerical and experimental investigation of centrifugal pumps in reverse operation. Experimental Thermal and Fluid Science, 32, 1620-7. https://doi.org/10.1016/j.expthermflusci.2008.05.004
Fernandez, J., Blanco, E., Parrondo, J., Stickland, M. T., & Scanlon, T. J. (2004). Performance of a centrifugal pump running in inverse mode. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 218, 265-71. https://doi.org/10.1243/0957650041200632
Ghorani, M. M., Haghighi, M. H. S., Maleki, A., & Riasi, A. (2020). A numerical study on mechanisms of energy dissipation in a pump as turbine (PAT) using entropy generation theory. Renewable Energy, 162, 1036-1053. https://doi.org/10.1016/j.renene.2020.08.102
Gong, R. Z., Qi, N. M., Wang, H. J., Chen, A. L., & Qin, D. Q. (2017). Entropy production analysis for S-characteristics of a pump turbine. Journal of Applied Fluid Mechanics, 10, 1657-1668. https://doi.org/10.18869/acadpub.jafm.73.243.27675
Günther, T., Schulze, M., & Theisel, H. (2016). Rotation invariant vortices for flow visualization. IEEE Transactions on Visualization and Computer Graphics, 22, 817-826. https://doi.org/10.1109/TVCG.2015.2467200
Gong, R., Wang, H., Chen, L., Li, D., Zhang, H., & Wei, X. (2013). Application of entropy production theory to hydro-turbine hydraulic analysis. Science China Technological Sciences, 56, 1636-1643. https://doi.org/10.1007/s11431-013-5229-y
Huang, S., Qiu, G., Su, X., Chen, J., & Zou, W. (2017). Performance prediction of a centrifugal pump as turbine using rotor-volute matching principle. Renewable Energy, 108, 64-71. https://doi.org/10.1016/j.renene.2017.02.045
Hou, H., Zhang, Y., Li, Z., Jiang, T., Zhang, J., & Xu, C. (2016). Numerical analysis of entropy production on a LNG cryogenic submerged pump. Journal of Natural Gas Science and Engineering, 36, 87-96. https://doi.org/10.1016/j.jngse.2016.10.017
Herwig, H., & Kock, F. (2007). Direct and indirect methods of calculating entropy generation rates in turbulent convective heat transfer problems. Heat and mass transfer, 43(3), 207-215. https://doi.org/10.1007/s00231-006-0086-x
International Electrotechnical Commission (1999). IEC60193-1999, Hydraulic turbines, storage pumps and pump turbines-model acceptance tests. Geneva, Switzerland.
Jain, S. V., & Patel, R. N. (2014). Investigations on pump running in turbine mode: A review of the state-of-the-art. Renewable and Sustainable Energy Reviews, 30, 841-868. https://doi.org/10.1016/j.rser.2013.11.030
Kock, F., & Herwig, H. (2004). Local entropy production in turbulent shear flows: a high-Reynolds number model with wall functions. International Journal of Heat and Mass Transfer, 47, 2205-2215. https://doi.org/10.1007/s11630-006-0159-7
Li, X. J., Ouyang, T., Lin, Y. P., & Zhu, Z. (2023). Interstage difference and deterministic decomposition of internal unsteady flow in a five-stage centrifugal pump as turbine. Physics of Fluids, 35, 045136. https://doi.org/10.1063/5.0150300
Li, X. J., Jiang, Z. W., Zhu, Z. C., Si, Q., & Li, Y. (2018). Entropy generation analysis for the cavitating head-drop characteristic of a centrifugal pump. Journal of Mechanical Engineering Science, 232(24), 4637-4646. https://doi.org/10.1177/0954406217753458
Lin, T., Li, X., Zhu, Z., Xie, J., Li, Y., & Yang, H. (2021). Application of enstrophy dissipation to analyze energy loss in a centrifugal pump as turbine. Renewable Energy, 163, 41-55. https://doi.org/10.1016/j.renene.2020.08.109
Lee, J., Moshfeghi, M., Hur, N., & Yoon, I. S. (2016). Flow analysis in a return channel of a multi-stage centrifugal pump. Journal of Mechanical Science and Technology, 30(9), 3993-4000. https://doi.org/10.1007/s12206-016-0811-4
Li, D., Gong, R., Wang, H., Xiang, G., Wei, X., & Qin, D. (2016). Entropy production analysis for hump characteristics of a pump turbine model. Chinese Journal of Mechanical Engineering, 29, 803-812. https://doi.org/10.3901/CJME.2016.0414.052
Maleki, A., Ghorani, M. M., Haghighi, M. H. S., & Riasi, A. (2020). Numerical study on the effect of viscosity on a multistage pump running in reverse mode. Renewable Energy, 150, 234-254. https://doi.org/10.1016/j.renene.2019.12.113
Nautiyal, H., Varun, V., Kumar, A., Yadav, S. Y. S, (2011). Experimental investigation of centrifugal pump working as turbine for small hydropower systems. Energy Science and Technology, 1, 79-86. https://doi.org/10.3968/j.est.1923847920110101.006
Nautiyal, H., & Kumar, V. A. (2010). Reverse running pumps analytical, experimental and computational study: a review. Renewable and Sustainable Energy Reviews, 14, 2059-67. https://doi.org/10.1016/j.rser.2010.04.006
Menter, F. R. (1994). Two-equation eddy-viscosity turbulence models for engineering applications. AIAA journal, 32(8), 1598-1605. https://doi.org/10.2514/3.12149
Pugliese, F., Fontana, N., Marini, G., & Giugni, M. (2021). Experimental assessment of the impact of number of stages on vertical axis multi-stage centrifugal PATs. Renewable Energy, 178, 891-903. https://doi.org/10.1016/j.renene.2021.06.132
Pei, J., Meng, F., Li, Y., Yuan, S., & Chen, J. (2016). Effects of distance between impeller and guide vane on losses in a low head pump by entropy production analysis. Advances in Mechanical Engineering, 8, 1-11. https://doi.org/10.1177/1687814016679568
Qian, B., Chen, J. P., Wu, P., Wu, D. Z., Yan, P., & Li, S. Y. (2019). Investigation on inner flow quality assessment of centrifugal pump based on Euler head and entropy production analysis. IOP IOP Conference Series: Earth and Environmental Science, 240, 92001. https://doi.org/10.1115/1.4047231
Sanghirun, W., & Asvapoositkul, W. (2023). Energy losses assessment of smallholder farmers’ surface water irrigation pumps in south and southeast asia using entropy generation principle. Journal of applied fluid mechanics, 16, 2023-2040. https://doi.org/10.47176/jafm.16.10.1851
Shehata, A. S., Saqr, K., Xiao, Q., Shehadeh, M. F., & Day, A. (2016). Performance analysis of wells turbine blades using the entropy generation minimization method. Renewable Energy, 86, 1123-1133. https://doi.org/10.1016/j.renene.2015.09.045
Singh, P., & Nestmann, F. (2010). An optimization routine on a prediction and selection model for the turbine operation of centrifugal pumps. Experimental Thermal and Fluid Science, 34, 152-64. https://doi.org/10.1016/j.expthermflusci.2009.10.004
Tao, R., & Wang, Z. (2021). Comparative numerical studies for the flow energy dissipation features in a pump-turbine in pump mode and turbine mode. Journal of Energy Storage, 41, 102835. https://doi.org/10.1016/j.est.2021.102835
Wang, T., Wang, C., Kong, F., Gou, Q., & Yang, S. (2017). Theoretical, experimental, and numerical study of special impeller used in turbine mode of centrifugal pump as turbine. Energy, 130, 473-485. https://doi.org/10.1016/j.energy.2017.04.156
Williams, A. A. (1996). Pumps as turbines for low cost micro hydro power. Renew Energy, 9, 1227-34. https://doi.org/10.1016/0960-1481(96)88498-9
Williams, A. (1994). The turbine performance of centrifugal pumps: a comparison of prediction methods. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 208, 59-66.
https://doi.org/10.1243/PIME_PROC_1994_208_009_02
Xia, L., Cheng, Y., You, J., Zhang, X., Yang, J., & Qian, Z. (2017). Mechanism of the S-shaped characteristics and the runaway Instability of Pump-Turbines. Journal of Fluids Engineering, 139(3), 031101. https://doi.org/10.1115/1.4035026
Yu, A., Li, L., Ji, J., & Tang, Q. (2022). Numerical study on the energy evaluation characteristics in a pump turbine based on the thermodynamic entropy theory. Renewable Energy, 195, 766-779. https://doi.org/10.1016/j.renene.2022.06.077
Yang, Y., Zhou, L., Shi, W., He, Z., Han, Y., & Xiao, Y. (2021). Interstage difference of pressure pulsation in a three-stage electrical submersible pump. Journal of Petroleum Science and Engineering, 196, 107653. https://doi.org/10.1016/j.petrol.2020.107653
Yang, S. S., Derakhshan, S., & Kong, F. Y. (2012). Theoretical, numerical and experimental prediction of pump as turbine performance. Renewable Energy, 48, 507-513. https://doi.org/10.1016/j.renene.2012.06.002
Zhu, B., Han, W., Tai, Z., & Chen, Y. (2023). Flow evolution and energy loss mechanism in accidental shutdown process of a large submersible mixed-flow pump system. Journal of Applied Fluid Mechanics, 16, 947-959. https://doi.org/10.47176/jafm.16.05.1550