MEASUREMENT OF WIND POWER AND ENERGY USING AN ANEMOMETER WITHOUT MOVING PARTS

  • Bojan Vujicic University of Novi Sad, Faculty of technical science
  • Boris Ličina Faculty of Applied Management, Economics and Finance, 11000 Belgrade, Jevrejska 24/1, Serbia
  • Platon Sovilj Faculty of Technical Sciences, 21000 Novi Sad, Trg Dositeja Obradovića 6, Serbia
  • Vladimir Vujičić Faculty of Technical Sciences, 21000 Novi Sad, Trg Dositeja Obradovića 6, Serbia
Keywords: wind power, wind energy, two-bit SDMM, anemometer with fixed frames

Abstract


The paper deals with the application of a newly developed anemometer without moving parts. It is digitized and has built-in electronics that convert the vibrations of two aluminum fixed frames into two digital signals: one, which shows the strength (speed absolute value)) of the wind, and the other, which shows its direction. Both of these signals are used to calculate wind power and energy. Earlier works have shown that the two-bit stochastic digital measurement method overcomes (eliminates) the problem of the offset of the analog adder. The authors of this paper apply this idea to the digital output of the sensor, where the role of the offset of the analog adder is taken over by the integral nonlinearity of the digital output of the anemometer. The first step in this direction is digitally dithering the sensor output. This principle is presented in detail, as well as a rough estimate of the accuracy gain in measuring wind energy. The obtained result shows that the accuracy in measuring wind energy is not worse than the limit accuracy in the case of a cup anemometer that generates sinusoidal voltage.

References

Vujicic, V., Licina, B., Pejic, D., Sovilj, P., Radonjic A. (2020). Stochastic Measurement of Wind Power Using a Two-Bit A/D Converter. Measurement, 152. paper no. 107184.


Austerlitz H., Data Acquisition Techniques Using PCs (2003).


Pugi L., Allotta B., Boni E., Guidi F., Montagni M., Massai T. (2018). Integrated Design and Testing of an Anemometer for Autonomous Sail Drones. J. Dyn. Sys. Meas. Control, 140 (5).


Sovilj P., Vujicic B., Pejic D., Radonjic. A, Vujicic. V (2020). Stochastic Two-bit On-line Temperature Measurement with RTD Pt-100 Sensor Operating in a Nonlinear Mode. 24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing, IMEKO TC-4 2020.


Vujicic V., Milovancev S., Pesaljevic M., Pejic D., Zupunski I. (1998). Low frequency stochastic true RMS instrument. CPEM Digest (Conference on Precision Electromagnetic Measurements, Cat.No.98CH36254). https://doi.org/10.1109/CPEM.1998.699956.


Urekar M. (2018). Contribution to the Optimization of Digital Measurements Performance (in Serbian), PhD Thesis, Faculty of Technical Sciences, University of Novi Sad, Serbia.


Juhász A., Vujicic V. (2020). Contribution to Experimental Investigation of Fitting the Current Transformers’ Calibration Curves”, J. Process. Energy Agriculture, 24(3-4).


Licina B. (2020). Method of Power and Energy Wind Measurement based on Measurement on Interval (in Serbian), PhD Thesis, Faculty of Technical Sciences, University of Novi Sad, Serbia.

Published
2021/12/30
Section
Papers