INVESTIGATION OF THE INFLUENCE OF THE PARAMETERS OF THE WIND FLOW ON THE CHOICE OF THE CHARACTERISTICS OF THE AUTONOMOUS WIND TURBINE

Keywords: wind turbine, electric energy, wind flow, autonomous electric supply

Abstract

Due to ecological advantages wind technologies and their wide application is one perspective modern direction of power generation. The paper presents the results of theoretical and practical investigations about the influence of the wind flow parameters in the Polissya region on the choice of the characteristics of the autonomous electric supply based on the wind turbine.

In particular, the analytical dependencies are deduced for definition of: the power of the wind flow, the coefficient of the wind energy utilization, the produced electric power of the wind turbine and the yearly operation time of the installation.

The practical investigations are shown in graphical dependencies of the coefficient of the wind energy utilization from the speed of the turbine rotor and dependencies of the wind turbine power capacity and the wind-to-rotor efficiency from the wind speed. Also, according to the mean wind speed distribution over the months nomogram (years 2011 to 2021) and according to the monthly part of the wind suitable for wind energy, the choice of the low power wind turbine is substantiated.

Using the method of statistical distribution, namely the Rayleigh distribution, normal distribution, by the mean value (wind speed) and the empirical distribution function the wind speed probability density. It is defined that use of the Rayleigh distribution makes possible to raise the calculation precision by 18.8 % and 36 % compared to normal distribution and to the mean wind speed value accordingly. As a 100 % the value calculated from empirical data was accepted. During the calculations there were errors because of unevenness of power consumption and the pulsing nature of power delivery. To avoid those errors, in future, it is recommended to use mathematical and computer modeling.

The received calculation of the parameters of the system`s elements of the autonomous power supply based on the wind turbine adapted to the characteristics of the Polissya wind flow, evidence the possibility of providing the reliable and uninterrupted power supply in this region.

References

Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines, Trevor M. Letcher Ed. Academic Press, 2017.

Small Wind: Planning and Building Successful Installations. Nolan Clark Ed. Academic Press, 2013.

E. Zhao, S. Sun, S. Wang. New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight. Data Science and Management, 2022. DOI: https://doi.org/10.1016/j.dsm.2022.05.002

M. R. Islam, S. Mekhilef, R. Saidur. “Progress and recent trends of wind energy technology”. Renewable and Sustainable Energy Reviews, vol. 21, pp. 456–468, 2013. DOI:10.1016/j.rser.2013.01.007

E. J. Brunner, D. J. Schwegman. “Commercial wind energy installations and local economic development: Evidence from U.S. counties”. Energy Policy, vol. 165, 112993, 2022. DOI: 10.1016/j.enpol.2022.112993

S. Sinha, S. S. Chandel. “Review of recent trends in optimization techniques for solar photovoltaic-wind based hybrid energy systems”. Renewable and Sustainable Energy Reviews, vol. 50, pp. 755–769, 2015. DOI:10.1016/j.rser.2015.05.040

Ch. Mohammed, Z. Hassan, El. Mohammed, Z. Smail. “Electric System Cascade Extended Analysis for optimal sizing of an autonomous hybrid CSP/PV/wind system with Battery Energy Storage System and thermal energy storage”. Energy, vol. 227, 120444, 2021. DOI:10.1016/j.energy.2021.120444

V. F. Beley, A. Yu. Nikishin. “Modern Wind Energy: Development Trends, Problems and Some Ways to Solve Them” (in Russian), Elektrika, No. 8, pp. 19–22, 2006.

B. G. Tuchinsky, V. A. Tocheny, I. V. Ivanchenko. “Analytical review of trends in technical parameters of wind power plants”, Renewable Energy, № 3, p. 14–17, 2009.

B. C. Zarubin. Mathematical modeling in technology: Textbook for universities, (in Russian). B. C. Zarubina, A. P. Krishchenko Ed. 2nd ed. Moscow, Russia: Publishing house of MSTU im. N. E. Bauman, 2003.

M. De. Liu, L. Ding, & Y. L. Bai. Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction. Energy Conversion and Management, vol. 233, 113917, 2021. DOI:10.1016/j.enconman.2021.113917

H. Liu, & C. Chen. Data processing strategies in wind energy forecasting models and applications: A comprehensive review. Applied Energy, vol. 249, pp. 392–408, 2019. DOI:10.1016/j.apenergy.2019.04.188

J. S. Rohatgi, V. Nelson. “Wind Characteristics: An Analysis for Generation of Wind Power”. Alternative Energy Institute. West Texas A&M University, Canyon, TX. 1994.

I. Pakere, M. Kacare, A. Grāvelsiņš, R. Freimanis, A. Blumberga. “Spatial analyses of smart energy system implementation through system dynamics and GIS modelling. Wind power case study in Latvia”. Smart Energy, vol. 7, 100081, 2022. DOI: 10.1016/j.segy.2022.100081

G. Pivnyak, F. Shkrabets, N. Neuberger, D. Tsyplenkov. Fundamentals of wind energy: Textbook, (in Ukrainian). Dnipropetrovsk, Ukraine: National Mining University, 2015.

V. L. Misaylov, Yu. N. Ulyanov. “Possibilities of increasing the coefficient of use of wind energy in wind turbines with a horizontal axis of rotation of the wind wheel” (in Ukrainian), Bulletin of NTU “KhPI”, No. 58 (1031), pp. 136–149, 2013.

Renewable energy sources, (in Ukrainian), S. Kudria, Ed. Kyiv, Ukraine: Instytut vidnovliuvanoi enerhetyky NANU, 2020.

Mathematical statistics: a collection of problems: textbook; I. Yu. Kaniovska, O. V. Stus Ed. Kyiv, Ukraine: KPI im. Igor Sikorsky, 2019.

White Book 2021 Offshore wind energy and “green” hydrogen: opening new frontiers of Ukraine’s energy capacity, (in Ukrainian). [Online]. Available: https://www.ive.org.ua/wp-content/uploads/2_5438583199909284286.pdf.

ENERCON. Energy for the world. [Електронний ресурс]. Доступно: https://www.enercon.de/en/products/

Statistical Yearbook of Zhytomyr region for 2021, G. Pashinskaya Ed. Zhytomyr, Ukraine: Main Department of Statistics in Zhytomyr Region, 2021.


Abstract views: 127
PDF Downloads: 181
Published
2022-07-01
How to Cite
Gonsharenko, Y., SokolovskyiО., Paliichuk, V., Klius, S., & Omarov, I. (2022). INVESTIGATION OF THE INFLUENCE OF THE PARAMETERS OF THE WIND FLOW ON THE CHOICE OF THE CHARACTERISTICS OF THE AUTONOMOUS WIND TURBINE. Vidnovluvana Energetika , (2(69), 56-64. https://doi.org/10.36296/1819-8058.2022.2(69).56-64