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Numerical and experimental study of using axial pump as turbine in Pico hydropower plants

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  • Bozorgi, A.
  • Javidpour, E.
  • Riasi, A.
  • Nourbakhsh, A.

Abstract

Low head Pico hydro resources have considerable potentials in many regions of the world and with increasing demand of energy, use of such capacities is quite necessary. Pico hydro plants are usually isolated and installed in remote areas. One of the main problems of utilizing these potentials especially in the developing countries is that routine turbines are insufficient or proper turbines are expensive. A suitable alternative for solving this problem is use of axial pumps in the reverse mode instead of the routine turbines. In this mode, the flow and rotation direction of the pump are reversed, and consequently hydraulic behavior of the pump is changed. In this study, an industrial axial pump has been simulated in the reverse mode by computational fluid dynamics. To do so, continuity and Reynolds Averaged Navier–Stokes equations coupled with Spalart-Allmaras turbulence model were solved using NUMECA software, and characteristic curves were obtained. To validate numerical results, a test setup for measuring the head, flow rate and power was built and the pump was tested in the reverse mode. It is shown that there is a good coincidence between the numerical and experimental results. Also, the axial pump can properly work as a turbine in the low head Pico hydro plants.

Suggested Citation

  • Bozorgi, A. & Javidpour, E. & Riasi, A. & Nourbakhsh, A., 2013. "Numerical and experimental study of using axial pump as turbine in Pico hydropower plants," Renewable Energy, Elsevier, vol. 53(C), pages 258-264.
  • Handle: RePEc:eee:renene:v:53:y:2013:i:c:p:258-264
    DOI: 10.1016/j.renene.2012.11.016
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    Cited by:

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    10. Gabriella Balacco, 2018. "Performance Prediction of a Pump as Turbine: Sensitivity Analysis Based on Artificial Neural Networks and Evolutionary Polynomial Regression," Energies, MDPI, vol. 11(12), pages 1-17, December.
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    12. Pugliese, Francesco & De Paola, Francesco & Fontana, Nicola & Giugni, Maurizio & Marini, Gustavo, 2016. "Experimental characterization of two Pumps As Turbines for hydropower generation," Renewable Energy, Elsevier, vol. 99(C), pages 180-187.
    13. Jain, Sanjay V. & Patel, Rajesh N., 2014. "Investigations on pump running in turbine mode: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 841-868.
    14. Elbatran, A.H. & Yaakob, O.B. & Ahmed, Yasser M. & Shabara, H.M., 2015. "Operation, performance and economic analysis of low head micro-hydropower turbines for rural and remote areas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 40-50.
    15. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
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    17. Wang, Tao & Kong, Fanyu & Xia, Bin & Bai, Yuxing & Wang, Chuan, 2017. "The method for determining blade inlet angle of special impeller using in turbine mode of centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 109(C), pages 518-528.
    18. Renzi, Massimiliano & Nigro, Alessandra & Rossi, Mosè, 2020. "A methodology to forecast the main non-dimensional performance parameters of pumps-as-turbines (PaTs) operating at Best Efficiency Point (BEP)," Renewable Energy, Elsevier, vol. 160(C), pages 16-25.
    19. Jawahar, C.P. & Michael, Prawin Angel, 2017. "A review on turbines for micro hydro power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 882-887.
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