Оцінка енергетичних характеристик вітрового потоку

Authors

  • V. Ramsh Separate subdivision of the National University of Life Resources and Environmental Management of Ukraine "Berezhany Agrotechnical Institute”
  • M. Potapenko Separate subdivision of the National University of Life Resources and Environmental Management of Ukraine "Berezhany Agrotechnical Instit”
  • V. Sharshon Separate subdivision of the National University of Life Resources and Environmental Management of Ukraine "Berezhany Agrotechnical Instit”
  • P. Darmoris Separate subdivision of the National University of Life Resources and Environmental Management of Ukraine "Berezhany Agrotechnical Instit”

DOI:

https://doi.org/10.31548/

Abstract

Wind is a renewable and environmentally friendly source of energy, unlike fossil fuels that pollute the lower atmosphere. Assessment of wind flow characteristics is essential to ensure the reliability and efficiency of wind power systems.

Accurate determination of the statistical distribution of wind speed is very important in assessing the energy potential of a particular area. This information is necessary for developers of wind power installations, which allows minimizing the costs of their production.

The purpose of the study is to analyze and evaluate the energy characteristics of wind potential.

Wind potential modeling is necessary both for choosing a rational structure of a wind power plant and for building energy-efficient algorithms for controlling the operating modes of generating units of an autonomous power supply system.

A model of wind speed changes based on the Weibull distribution allows you to select a wind power installation and qualitatively assess its energy characteristics.

When choosing the type of wind power plant and calculating its annual energy production, one cannot proceed only from the average annual wind speed for a given area, but must take into account the data on the repeatability of different wind speeds, which are usually approximated by the Weibull distribution function.

A method for determining the parameters of the Weibull function, which reflect the probability density distribution of wind flow speeds at a given base height above the surface, using available data on the average speed at this height and its repeatability by gradations, is presented. This is important for ensuring the stability and reliability of the power system, as it reduces the likelihood of power outages, thereby ensuring a more even distribution of the load.

Thus, the assessment of wind flow characteristics is essential to ensure the reliability and efficiency of wind power systems.

Key words: wind power installation, wind potential, wind speed, repeatability of wind speeds, distribution function, forecasting

References

1. Manwell, J. F., McGowan, J.G., Rogers, A.L. (2009). Wind energy explained: theory, design, and application. WILEY, 700.

2. Dmytrenko, L. V., Barandich, S.L. (2007). Vitroenerhetychni resursy v Ukraini [Wind energy resources in Ukraine]. Naukovi pratsi UkrNDHMI, 256, 166-173.

3. Vasko, P.F. (2001). Rozrakhunok pokaznykiv tekhnichnoi efektyvnosti zastosuvannia vitroelektrychnykh ustanovok za rezultatamy strokovykh vymiriuvan shvydkosti vitru [Calculation of technical efficiency indicators for the use of wind power plants based on the results of real-time wind speed measurements]. Tekhnichna elektrodynamika, 6, 45-49.

4. Kuznietsov, M. P. (2012). Modeliuvannia parametriv roboty enerhosystemy, yaki nosiat vypadkovyi kharakter [Modeling of power system operation parameters that are random in nature]. Vidnovliuvana enerhetyka, 3, 5-9.

5. Kuznietsov, M. P. (2022). Osoblyvosti kombinovanykh enerhosystem z vidnovliuvanymy dzherelamy enerhii: monohrafiia [Features of combined energy systems with renewable energy sources: monograph]. Kyiv: IVE, 142.

6. Carta, J.A., Ramırez, Р., Bueno, С. (2008). A joint probability density function of wind speed and direction for wind energy analysis. Energy Conversion and Management, 49, 1309-1320.

7. Kostohrizova, N. O., Dubrovska, V. V., Shkliar, V. I. (2014). Statystychnyi analiz rezultativ vymiru shvydkostei vitru [Statistical analysis of wind speed measurement results]. Enerhetyka, 2, 52-57.

8. Prokopenko, V. V. (2016). Enerhetychnyi audyt z prykladamy ta iliustratsiiamy [Energy audit with examples and illustrations]. Kyiv: Osvita Ukrainy, 438.

Published

2025-03-28

Issue

No. 1 (2025)

Section

Статті

License

Relationship between right holders and users shall be governed by the terms of the license Creative Commons  Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).