Reverse engineering of pump as turbine for CFD analysis

Authors

  • Jiří Souček Czech Technical University in Prague, Faculty of Civil Engineering, Department of Hydraulic Structures, Thákurova 2077/7, 166 29 Praha 6, Czech Republic https://orcid.org/0000-0003-0812-609X
  • Eva Bílková Czech Technical University in Prague, Faculty of Civil Engineering, Department of Hydraulic Structures, Thákurova 2077/7, 166 29 Praha 6, Czech Republic
  • Petr Nowak Czech Technical University in Prague, Faculty of Civil Engineering, Department of Hydraulic Structures, Thákurova 2077/7, 166 29 Praha 6, Czech Republic

DOI:

https://doi.org/10.14311/AP.2024.64.0052

Keywords:

reverse engineering, 3D scanning, pump as turbine (PAT), CFD modelling

Abstract

Reverse engineering (RE) using 3D scanning is already a relatively technologically simple and cost-effective method. For water turbines, this is particularly true for RE of larger machines. With microturbines, there is a lot of pressure to minimise costs, even at the cost of reduced accuracy. Using an existing micro-PAT (Pump as Turbine) as an example, we showed the approach to assessing these microturbines, starting with scanning the entire internal flow profile of the turbine, reconstructing the surface into a 3D model, and numerically assessing it using CFD (Computational Fluid Dynamics). A different approach is necessary compared to standard large machines, whose dimensions allow troublefree scanning of the flow parts of the turbine. Using CFD, we assessed the reconstructed geometry of the PAT. Two significant findings were made: the importance of high-quality 3D scanning by combining several cheaper 3D scanners and the necessity for reliable in-situ measurements for a successful CFD validation. Our future focus involves optimising PAT runner geometry in turbine mode to enhance energy production at the site and, at the same time, eliminating existing cavitation.

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References

M. C. Morani, M. Simao, I. Gazur, et al. Pressure drop and energy recovery with a new centrifugal micro-turbine. Energies 15(4):1528, 2022. https://doi.org/10.3390/en15041528

M. Binama, W.-T. Su, X.-B. Li, et al. Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes. Renewable and Sustainable Energy Reviews 79:148–179, 2017. https://doi.org/10.1016/j.rser.2017.04.071

J. C. Alberizzi, M. Renzi, A. Nigro, M. Rossi. Study of a Pump-as-Turbine (PaT) speed control for a Water Distribution Network (WDN) in South-Tyrol subjected to high variable water flow rates. Energy Procedia 148:226–233, 2018. https://doi.org/10.1016/j.egypro.2018.08.072

K. Çelebioğlu, A. Kaplan. Development and implementation of a methodology for reverse engineering design of Francis turbine runners. Pamukkale University Journal of Engineering Sciences 25(4):430–439, 2019. https://doi.org/10.5505/pajes.2018.43959

J. Xu, L. Wang, S. N. Asomani, et al. Improvement of internal flow performance of a centrifugal pump-as-turbine (PAT) by impeller geometric optimization. Mathematics 8(10):1714, 2020. https://doi.org/10.3390/math8101714

A. Breitbarth, C. Hake, G. Notni. Measurement accuracy and practical assessment of the lidar camera Intel RealSense L515. In Optical Measurement Systems for Industrial Inspection XII, vol. 11782, p. 1178213. SPIE, 2021. https://doi.org/10.1117/12.2592570

M. Servi, E. Mussi, A. Profili, et al. Metrological characterization and comparison of D415, D455, L515 realsense devices in the close range. Sensors 21(22):7770, 2021. https://doi.org/10.3390/s21227770

M. Hrčková, P. Koleda. Application of selected reverse engineering procedures based on specific requirements. Multidisciplinary Aspects of Production Engineering 4(1):75–85, 2021. https://doi.org/10.2478/mape-2021-0007

F. D. Paola, T. Ingrassia, M. L. Brutto, A. Mancuso. A reverse engineering approach to measure the deformations of a sailing yacht. In Advances on Mechanics, Design Engineering and Manufacturing, pp. 555–563. Springer International Publishing, Cham, 2017. https://doi.org/10.1007/978-3-319-45781-9_56

IEC 62006:2010. Geneva, edition 1.0 edn., 2010.

H. K. Versteeg, W. Malalasekera. An introduction to computational fluid dynamics. Pearson Prentice Hall, Harlow, 2nd edn., 2007.

I. B. Celik. Procedure for estimation and reporting of uncertainty due to discretization in CFD applications. Journal of Fluids Engineering 130(7):4, 2008. https://doi.org/10.1115/1.2960953

P. J. Roache. Perspective. Journal of Fluids Engineering 116(3):405–413, 1994. https://doi.org/10.1115/1.2910291

O. Petit, B. Mulu, H. Nilsson, M. Cervantes. Comparison of numerical and experimental results of the flow in the U9 Kaplan turbine model. IOP Conference Series: Earth and Environmental Science 12:012024, 2010. https://doi.org/10.1088/1755-1315/12/1/012024

F. R. Menter. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA Journal 32(8):1598–1605, 1994. https://doi.org/10.2514/3.12149

P. E. Smirnov, F. R. Menter. Sensitization of the SST turbulence model to rotation and curvature by applying the spalart-shur correction term. Volume 6: Turbomachinery, Parts A, B, and C pp. 2305–2314, 2008. https://doi.org/10.1115/GT2008-50480

H. Benigni, H. Jaberg, J. Schiffer. Numerical simulation and optimisation of powerplant equipment with project realisation. In Conference: Vienna HydroAt: Laxenburg/Wien, p. 10. 2010.

A. Mundet, V. H. Hidalgo, X. Escaler. Numerical simulation of cavitation in a Francis runner under different operating conditions. In International Symposium of Cavitation and Multiphase Flow. "The 3rd International Symposium of Cavitation and Multiphase FlowShanghai, China, April 19th-22nd, 2019 ISCM2019: accepted abstracts, full papers"., pp. 1–8. Shanghai University Press, Shanghai, 2019.

M. Kantor, M. Chalupa, J. Souček, et al. Application of genetic algorithm methods for water turbine blade shape optimization. Manufacturing Technology 20(4):453–458, 2020. https://doi.org/10.21062/mft.2020.072

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Published

2024-03-04

How to Cite

Souček, J., Bílková, E., & Nowak, P. (2024). Reverse engineering of pump as turbine for CFD analysis. Acta Polytechnica, 64(1), 52–58. https://doi.org/10.14311/AP.2024.64.0052

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