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Development of an Equation for the Volume of Flow Passing Through an Archimedes Screw Turbine

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Sustaining Tomorrow

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

Archimedes Screw Turbines (ASTs) are a new form of hydraulic energy converter for small hydroelectric powerplants. ASTs can operate even with very low levels of water and are a safer solution for wildlife and especially fish. It is very important to have an estimation about the volume of water that can pass through the screw for designing AST hydropower plants, making operation plans and operation. However, developing a general relationship for the volume of flow entering an AST as a function of inlet water level and other variables for all screw sizes is challenging: In ASTs, water flows through a helical array of blades that are wrapped around a central cylinder while there is a small gap between the trough and screw which could be considered as free flow. Screw geometry and rotation speed are two other important factors that intensify the scaling difficulties. In this study, an equation is developed to estimate the volume flow rate that passes through an AST based on its inlet water level, rotation speed and pitch. The resulting relationship is validated using data from five lab-scale and one full-scale AST. Then it is optimized using Genetic Algorithms to produce a general equation for all screw sizes. Data analysis is completed to find and control effective parameters by using principal component analysis (PCA) techniques. Finally, the equation is modified to maximize accuracy. Results indicate that the proposed equation can estimate the volume flow rates of both lab-scale and full-scale studied screws with reasonable accuracy.

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References

  1. P. Kibel, Fish monitoring and live fish trials. Archimedes screw turbine, river dart. Moretonhampstead Fishtek Consult. Ltd., vol. September, no. Phase 1 Report: Live fish trials, smolts, leading edge assessment, disorientation study, outflow monitoring (2007), pp. 1–40

    Google Scholar 

  2. W. Hawle, A. Lashofer, B. Pelikan, Lab testing of the Archimedean screw, in Hidroenergia (2012)

    Google Scholar 

  3. A. Lashofer, W. Hawle, B. Pelikan, State of technology and design guidelines for the Archimedes screw turbine, pp. 1–8

    Google Scholar 

  4. GreenBug, What are the benefits of using Archimedes Screws over other technologies?—GreenBug Energy—micro hydro. GreenBug Energy, 2020. [Online]. Available: https://greenbugenergy.com/sp_faq/what-are-the-benefits-of-using-archimedes-screws-over-other-technologies. Accessed 15 Feb 2020

  5. T. Koetsier, H. Blauwendraat, The Archimedean Screw-pump: a note on its invention and the development of the theory, in International Symposium on History of Machines and Mechanisms (Springer Netherlands, Dordrecht) (2004), pp. 181–194

    Google Scholar 

  6. G. Nagel, Archimedean Screw Pump Handbook (RITZ-Pumpenfabrik OHG, Schwabisch Gmund, 1968).

    Google Scholar 

  7. D.M. Nuernbergk, C. Rorres, analytical model for water inflow of an Archimedes screw used in hydropower generation. J. Hydraul. Eng. 139(2), 213–220 (2013). https://doi.org/10.1061/(ASCE)HY.1943-7900.0000661

    Article  Google Scholar 

  8. M. Rühlmann, Allgemeinen Maschinenlehre, 1 st Verlag von C.A. Schwetschke und Sohn Braunscheig (1862)

    Google Scholar 

  9. IFICPS, DE4139134A1—Hydrodynamic screw for energy conversion—uses changes in water supply to regulate energy output—Google Patents. IFI CLAIMS Patent Services, 2020. [Online]. Available: https://patents.google.com/patent/DE4139134A1/en. Accessed 15 Feb 2020

  10. J. Kleemann, D.H. Hellmann, Gutachten zur Wirkungsgrad- bestimmung an einer Wasserkraftschnecke Fabrikat RITZ-ATRO (2003)

    Google Scholar 

  11. W.D. Lubitz, M. Lyons, S. Simmons, Performance model of Archimedes screw hydro turbines with variable fill level. J. Hydraul. Eng. 140(10), 04014050 (2014). https://doi.org/10.1061/(ASCE)HY.1943-7900.0000922

    Article  Google Scholar 

  12. J. Muysken, Berekening van het nuttig effect van de vijzel. De Ingenieur, (1932)

    Google Scholar 

  13. A. Khan, S. Simmons, M. Lyons, W. Lubitz, Inlet channel effects on Archimedes screw generators, (2018), pp. 1–5. https://doi.org/10.25071/10315/35291.

  14. A. Kozyn, W.D. Lubitz, A power loss model for Archimedes screw generators. Renew. Energy 108, 260–273 (2017). https://doi.org/10.1016/j.renene.2017.02.062

    Article  Google Scholar 

  15. S. Simmons, W. Lubitz, Archimedes screw generators for sustainable energy development, in IHTC 2017—IEEE Canada International Humanitarian Technology Conference 2017 (2017), pp. 144–148. https://doi.org/10.1109/IHTC.2017.8058176

  16. A. Kozyn, in Power Loss Model for Archimedes Screw Turbines. University of Guelph (2016)

    Google Scholar 

  17. J. Sadeghi, S. Sadeghi, S.T.A. Niaki, Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: an improved particle swarm optimization algorithm. Inf. Sci. (Ny) 272, 126–144 (2014). https://doi.org/10.1016/j.ins.2014.02.075

    Article  MathSciNet  Google Scholar 

  18. M. Mitchell, An Introduction to Genetic Algorithms (MIT Press, Cambridge, MA, 1996).

    MATH  Google Scholar 

  19. J. Lee Rodgers, W.A. Nicewander, Thirteen ways to look at the correlation coefficient. Am. Stat. 42(1), 59–66 (1988). https://doi.org/10.1080/00031305.1988.10475524.

  20. J. Adler, I. Parmryd, Quantifying colocalization by correlation: the Pearson correlation coefficient is superior to the Mander’s overlap coefficient. Cytom. Part A 77(8), 733–742 (2010). https://doi.org/10.1002/cyto.a.20896

    Article  Google Scholar 

  21. J.E. Hanke, D. Wichern, in Business Forecasting, 9th edn. Prentice Hall (2009)

    Google Scholar 

  22. S. Kim, H. Kim, A new metric of absolute percentage error for intermittent demand forecasts. Int. J. Forecast. 32(3), 669–679 (2016). https://doi.org/10.1016/j.ijforecast.2015.12.003

    Article  Google Scholar 

  23. B.L. Bowerman, R.T. O’Connell, A.B. Koehler, in Forecasting, Time Series, and Regression: An Applied Approach. Thomson Brooks/Cole (2005)

    Google Scholar 

  24. J. Muysken, Calculation of the Effectiveness of the Auger, Ing., pp. 77–91 (1932)

    Google Scholar 

  25. K. Brada, Wasserkraftschnecke—Eigenschaften und Verwen- dung (1996), pp. 43–52

    Google Scholar 

  26. J. Shlens, A tutorial on principal component analysis, in Google Research, vol. Version 3 (2014)

    Google Scholar 

  27. H. Abdi, L.J. Williams, Principal component analysis. Wiley Interdiscip. Rev. Comput. Stat. 2(4), 433–459 (2010). https://doi.org/10.1002/wics.101

  28. C. Ding, X. He, K-means clustering via principal component analysis, in Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004, (2004) pp. 225–232

    Google Scholar 

  29. D. Conway, J.M. White, in Machine Learning for Hackers, 1st edn. O’REILLY, Cambridge, Beijing, Farnham, Köln, Sebastopol, Tokyo (2012)

    Google Scholar 

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Acknowledgements

The work documented in this study was completed as part of a much larger project financially supported by Greenbug Energy Inc. and the Natural Sciences and Engineering Research Council (NSERC) of Canada through the Collaborative Research and Development (CRD) program. Thanks to Mitra Kaviani for support with data analysis and Scott Simmons, Murray Lyons, Andrew Kozyn, Kathleen Songin, and Max Fisher for support with collecting the lab data used in this study.

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Correspondence to William David Lubitz .

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YoosefDoost, A., Lubitz, W.D. (2021). Development of an Equation for the Volume of Flow Passing Through an Archimedes Screw Turbine. In: Ting, D.SK., Vasel-Be-Hagh, A. (eds) Sustaining Tomorrow. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-030-64715-5_2

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  • DOI: https://doi.org/10.1007/978-3-030-64715-5_2

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