Skip to main content

Implementation of ISO Guide to the Expression of Uncertainty in Measurement (ISO-GUM) to Rotational Inertia Determination of a Small Wind Turbine by Acceleration–Deceleration Method

  • Conference paper
  • First Online:
Proceedings of the 14th International Conference on Vibration Problems (ICOVP 2019)

Abstract

This work determines experimentally the rotational inertia of a small wind turbine by acceleration–deceleration technique and evaluates its uncertainty quantity using ISO-GUM. Knowledge of rotational inertia is an important parameter to establish the power generation range of a wind turbine in the design stage. This parameter has a direct influence on powertrain performance. Among experimental methods forinertia measurement, an acceleration–deceleration method was performed to measure the rotational moment of inertia of a commercial HAWT (Horizontal-Axis Wind Turbines) iSTA Breeze® i-500 model. The experimental tests were performed via video capturing rotational motion of wind turbine rotor attached to free falling mass rolled on rotor axis, then using a video motion capture software Tracker to collect angular parameters data. As recommended by ISO-GUM, an uncertainty methodology was implemented to estimate the uncertainty associated to wind turbine rotational inertia experimental measurements. In order to validate the acceleration–deceleration method, a statistical significance analysis was used via comparisons with literature results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hudson S, Coleman H (1998) A detailed uncertainty assessment of methods used to determine turbine efficiency. In: 20th AIAA advanced measurement and ground testing technology conference. American Institute of Aeronautics and Astronautics, Reston, Virigina. Epub ahead of print June 1998. https://doi.org/10.2514/6.1998-2711

  2. Paniagua G, Yasa T (2007) Accurate turbine inertia measurement. Exp Mech 47:693–700

    Article  Google Scholar 

  3. Yang CX, Li ST. Effect of moment of inertia to H type vertical axis wind turbine aerodynamic performance. IOP Conf Ser Mater Sci Eng 52. Epub ahead of print 2013. https://doi.org/10.1088/1757-899x/52/5/052014

  4. Povey T, Paniagua G (2012) Method to improve precision of rotating inertia and friction measurements in turbomachinery applications. Mech Syst Signal Process 30:323–329

    Article  Google Scholar 

  5. Ringegni PL, Actis MD, Patanella AJ (2001) An experimental technique for determining mass inertial properties of irregular shape bodies and mechanical assemblies. Measurement 29:63–75

    Article  Google Scholar 

  6. Genta G, Delprete C (1994) Some considerations on the experimental determination of moments of inertia. Meccanica 29:125–141

    Article  Google Scholar 

  7. Schedlinski C, Link M (2001) A survey of current inertia parameter identification methods. Mech Syst Signal Process 15:189–211

    Article  Google Scholar 

  8. Hou Z-C, Lu Y, Lao Y et al (2009) A new trifilar pendulum approach to identify all inertia parameters of a rigid body or assembly. Mech Mach Theory 44:1270–1280

    Article  MATH  Google Scholar 

  9. Tang L, Shangguan W-B (2011) An improved pendulum method for the determination of the center of gravity and inertia tensor for irregular-shaped bodies. Measurement 44:1849–1859

    Article  Google Scholar 

  10. Tian S, Chen X, Chen T et al (2019) Experimental study on frictional loss of high-speed bearings based on free-deceleration and energy-balance methods. Ind Lubr Tribol. ILT-07-2018-0281

    Google Scholar 

  11. JCGM (2008) Evaluation of measurement data—guide to the expression of uncertainty in measurement. Int Organ Stand JCGM 100(1):134

    Google Scholar 

  12. Chen H-C, Wu P-C, Huang J-Y et al (2010) Uncertainty analysis for measurement of measurand. Measurement 43:1250–1254

    Article  Google Scholar 

  13. JCGM (2008) Evaluation of measurement data—supplement 1 to the “Guide to the expression of uncertainty in measurement”—propagation of distributions using a Monte Carlo method. Int Organ Stand JCGM 101(2):90

    Google Scholar 

  14. Wübbeler G, Krystek M, Elster C. Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method. Meas Sci Technol 19. Epub ahead of print 2008. https://doi.org/10.1088/0957-0233/19/8/084009

  15. Cox MG, Siebert BRL. The use of a Monte Carlo method for evaluating uncertainty and expanded uncertainty. Metrologia 43. Epub ahead of print 2006. https://doi.org/10.1088/0026-1394/43/4/s03

  16. Theodorou D, Meligotsidou L, Karavoltsos S et al (2011) Comparison of ISO-GUM and Monte Carlo methods for the evaluation of measurement uncertainty: application to direct cadmium measurement in water by GFAAS. Talanta 83:1568–1574

    Article  Google Scholar 

  17. Lira I, Grientschnig D. Bayesian assessment of uncertainty in metrology: a tutorial. Metrologia 47. Epub ahead of print 2010. https://doi.org/10.1088/0026-1394/47/3/r01

  18. Kacker R, Toman B, Huang D. Comparison of ISO-GUM, draft GUM supplement 1 and Bayesian statistics using simple linear calibration. Metrologia 43. Epub ahead of print 2006. https://doi.org/10.1088/0026-1394/43/4/s02

  19. Brown D, Cox AJ (2009) Innovative uses of video analysis. Phys Teach 47:145–150

    Article  Google Scholar 

  20. Eadkhong T, Rajsadorn R, Jannual P et al (2012) Rotational dynamics with tracker. Eur J Phys 33:615–622

    Article  Google Scholar 

  21. Santana RU (2017) Experimental determination of rotational inertia of wind turbine mechanical components (port. Determinação experimental da inércia de rotação de componentes de turbinas eólicas). University of Brasília

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank CNPq and MCTI, process number 406895/2013-9, and FAPDF, process number 0193. 001359/2016), for the financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raphael Ugolini Santana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Santana, R.U., Morais, M.V.G.d., Diniz, A.C.G.C. (2021). Implementation of ISO Guide to the Expression of Uncertainty in Measurement (ISO-GUM) to Rotational Inertia Determination of a Small Wind Turbine by Acceleration–Deceleration Method. In: Sapountzakis, E.J., Banerjee, M., Biswas, P., Inan, E. (eds) Proceedings of the 14th International Conference on Vibration Problems. ICOVP 2019. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-8049-9_38

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-8049-9_38

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8048-2

  • Online ISBN: 978-981-15-8049-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics