The article is devoted to the prospects for the development of renewable energy sources, in particular wind energy, in rural areas of the Rostov region (Russia). The analysis of the state program of the Russian Federation "Integrated Development of Rural Territories" was carried out. The primary measures that contribute to the implementation of directions for the development and improvement of the reliability of power supply through the use of wind energy are considered. The aim and objectives of the study are to create a classification and develop a methodology for selecting design solutions of wind turbines in low-rise residential construction, to develop criteria for evaluating the choice of renewable energy source (RES) technologies, to conduct a multi-criteria analysis of different types of wind turbine designs and to select the most optimal type of wind turbine design by applying multi-criteria analysis methods for selecting optimal wind turbine designs. The possibility of applying the method of multi-criteria analysis for the choice of design solutions for WPPs is substantiated. The assessment of the Rostov region territory and its priority for the placement of wind farms was demonstrated. The classification of wind turbines has been carried out. Design solutions for wing generator are presented. A technique for choosing optimality criteria is formulated. The results of studies by different scientists are summarized and compared with the proposed methods To select the optimal design of the wind turbine, a multi-criteria decision analysis was applied. Methodology for selecting wind energy generation technology elaborated in the course of research by applying multi-criteria analysis, allows us determining with the highest accuracy the most efficient and economically viable design of the wind power plant.
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3. Gallagher K.S. Why & How Governments Support. J. The Alternative Energy Future. 2013. 142. P. 59 – 77.
4. Gilmutdinova E.N. Renewable energy prediction errors J. Scientific interdisciplinary research. 2021. 3. P. 41 – 45.
5. Chacrit S. Renewable Energy Law and Policy in Thailand J. Renewable Energy Law and Policy Review. 2016. 7 (2). P. 184 – 189.
6. Pupo-Roncallo O., Campillo J., Ingham D., Hughes K., Pourkashanian M. Large scale integration of renewable energy sources (RES) in the future Colombian energy system J. Energy. 2019. 186 p.
7. Chitzi C. Ogbumgbada Developing an effective legal framework for renewable energy utilization in Nigeria J. Renewable Energy Law and Policy Review. 2018. 8 (3). P. 45 – 52.
8. Livshits S.A., Renewable energy sources: reality and prospects Actual problems of the humanities and natural sciences. 2017. 3-1. P. 102 – 104.
9. Nekhoroshev D.D. Ermolenko E. A. Renewable energy sources J. The Age of Science. 2021. 25. P. 80 – 82.
10. Destouni G., Frank H., Renewable Energy. J. Ambio. 2010. 39. P. 18 – 21.
11. Rosa L.D., Castro R., Forecasting and assessment of the 2030 australian electricity mix paths towards energy transition J. Energy. 2020. 205 p.
12. Yergin D., Ensuring Energy Security J. Foreign Affairs. 2006. 85 (2). P. 69 – 82.
13. Moore‐O'Leary K., Hernandez R., Johnston D., Abella S., Tanner K., Swanson A., Kreitler J., Lovich J. Sustainability of utility‐scale solar energy – critical ecological concepts J. Frontiers in Ecology and the Environment. 2017. P. 385 – 394.
14. Gilmutdinova E.N. Modeling errors for prediction of renewable energy sources J.Innovative aspects of the development of science and technology. 2021. 7. P. 16 – 20.
15. Păceşilă M. Solar energy policy developments in Europe Theoretical and Empirical Researches in Urban Management. 2015. 1. P. 13 – 24.
16. Balat H., Solar Energy Potential in Turkey J. Energy Exploration & Exploitation. 2005. 23 (1). P. 61 – 69.
17. Pleune R., The Role of Renewable Energy Sources in a Sustainable World J. Energy & Environment. 1992. 3 (4). P. 430 – 443.
18. Tandon N. The bio-fuel frenzy: what options for rural women? A case of rural development schizophrenia J. Gender and Development. 2009. 17 (1). P. 109 – 124.
19. Wang K., Chen Sh., Liu L., Zhu T., Gan Z., Enhancement of renewable energy penetration through energy storage technologies in a CHP-based energy system for Chongming. J. Energy. 2018. P. 988 – 1002.
20. Kuvlesky W.P., Brennan L.A., Morrison M.L., Kathy K. Boydston, Ballard B.M., Bryant F.C. Wind Energy Development and Wildlife Conservation: Challenges and Opportunities The Journal of Wildlife Management. 2007. 71 (8). P. 2487 – 2498.
21. Leithead W.E. Wind Energy J. Philosophical Transactions: Mathematical Physical and Engineering Sciences. 2007. 365 (1853). P. 957 – 970.
22. Osadchy G.B. Components of economic efficiency of using renewable energy systems and installations. Innovatika bulletin. 2013. P. 237 – 247.
23. Badenko V.L., Epova E.I. The concept of creating a geoinformation system "Renewable energy sources of St. Petersburg and the Leningrad region". Collection of materials of the II international scientific-practical conference "Geodesy, cartography, geoinformatics and cadastres. From idea to implementation", St. Petersburg: Polytechnic, 2017. P. 500 – 504.
24. Sheina S.G., Pirozhnikova A.P., Priss E.A. The concept of sustainable development of renewable energy in the modern world. IOP Conference Series: Materials Science and Engineering. 2019. 698 (5). P. 055010, 5 р.
25. Kurbatova S.M., State program "Comprehensive development of rural areas": general characteristics. Problems of modern agricultural science Materials of Intern. scientific. conf. Krasnoyarsk: Publishing house of the Krasnoyarsk GAU. 2020. P. 437 – 440.
26. Wu X., Wang Z., Lei G.A. Study on evaluation of urban-rural integrated development level – a case study of shandong province J.Economic Geography. 2010. 4 р.
27. Xu X., Wei Z., Ji Q., Wang C., Gao G., Global renewable energy development: Influencing factors, trend predictions and countermeasures J. Resour. Policy. 2019. 63 р.
28. Russian Association of the Wind Industry. In 2020, over 200 GW of new wind and solar energy capacities were commissioned in the world. URL: https://rawi.ru/en/?ysclid=m8jcuopeui74556307
29. Kakhkhorov M.M., Chorieva M.R. Alternative energy sources: wind energy J. Modern instrumental systems, information technologies and innovations. 2015. P. 242 – 244.
30. Zemskov V.I. Renewable energy sources in the agro-industrial complex textbook for university students studying in the direction of "Agroengineering", Lan: St. Petersburg, Russia, 2014. 355 p.
31. Yamaletdinova C.S., Galiakberov V.V., Martynova O.G., Rakhmanova S.T., Akhmetshin R.I., Graphic features of the analysis of the economic efficiency of wind energy J. Bulletin of the Chelyabinsk State University. 2018. 3 (413). P. 149 – 156.
32. Islam, M. R.; Mekhilef, S.; Saidur, R. Progress and recent trends of wind energy technology J.Renewable and Sustainable Energy Reviews. 2013. 21. P. 456 – 468.
33. Sheina S.G., Fedorovskaya A.A., Sheveleva A.A. Comprehensive assessment of the territory as a mechanism for choosing the location and type of alternative energy source J.BST: Building Technology Bulletin. 2017. 10. P. 38 – 41.
34. Uskova T.V., Voroshilov N. V. Integrated development of rural areas – a task of national importance J.Problems of territory development. 2019. 6. 104 p.
35. Blagoz Z.U., Popova A.Yu, Making decisions in the face of risk and uncertainty J. Bulletin of the Adyghe State University. 2006. 4. P. 164 – 168.
36. IEEE Transactions on Energy Conversion. 1996. 11 (3). P. 650 – 657.
37. Oelker J. Ultra-fast wind farm networking with EtherCAT. AREVA Wind 2020, URL: https://www.beckhoff.com/ru-ru/industries/wind-turbines/wind-farm-networking/
38. Dey B. et al. Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria J. International Journal of Management Science and Engineering Management. 2016. 11 (4). P. 262 – 278.
39. Choi J., Lee K., Reliability Evaluation for Power System Planning with Wind Generators and Multi‐Energy Storage Systems Probabilistic Power System Expansion Planning with Renewable Energy Resources and Energy Storage Systems. 2021. P. 141 – 176.
40. Ha J.M. et al. Classification of operating conditions of wind turbines for a class-wise condition monitoring strategy J. Renewable energy. 2017. 103. P. 594 – 605.
41. Kupershtokh V.L., Mirkin B.G., Trofimov V.A. The sum of internal connections as an indicator of the quality of classification J.Automation and Remote Control. 1976. 3. P. 133 – 141 p.
42. Wang M.J.J., Liang G.S. A fuzzy multi-criteria decision-making method for facility site selection J.The International Journal of Production Research. 1991. 29 (11). P. 2313 – 2330.
43. Chizhma S.N., Molchanov S.V., Zakharov A.I. Criteria for choosing the type of wind turbines for mobile wind-solar power plants J. Vestnik of the Baltic Federal University I. Kant. Series: physical, mathematical and technical sciences. 2018. P. 53 – 62.
44. Rozhkova L.G. Criteria for choosing the type, size and design of a vertical-axial wind turbine J.Actual problems of the humanities and natural sciences. 2016. 5-1. P. 98 – 104.
45. Tailanov N. A. et al. On the efficiency of using wind generators J. Problems of Science and Education. 2019. 7. 53 р.
46. Denholm P., Kulcinski G.L., Holloway T. Emissions and energy efficiency assessment of baseload wind energy systems J. Environmental science & technology. 2005. 39 (6). P. 1903 – 1911.
47. Sharapova T.R., Selection criteria and an algorithm for making an effective decision J. Actual science. 2018. 4. P. 35 – 38.
48. Bhutta M.M.A. et al. Vertical axis wind turbine J. A review of various configurations and design techniques.Renewable and Sustainable Energy Reviews. 2012. 16 (4). P. 1926 – 1939.
49. Paraschivoiu I. Wind turbine design with emphasis on Darrieus concept. 2002. 438 p.
Sheina S.G., Fedorovskaya A.A., Pirozhnikova A.P. Methods to select structural solutions for wind power generators in low-rise development. Construction Materials and Products. 2025. 8 (2). 7. https://doi.org/10.58224/2618-7183-2025-8-2-7