Issue |
E3S Web Conf.
Volume 623, 2025
IV International Conference on Ensuring Sustainable Development: Ecology, Earth Science, Energy and Agriculture (AEES2024)
|
|
---|---|---|
Article Number | 03004 | |
Number of page(s) | 12 | |
Section | Problems of the Energy Complex | |
DOI | https://doi.org/10.1051/e3sconf/202562303004 | |
Published online | 08 April 2025 |
Assessing the possibility of using wind energy in the East-South-Eastern part of Turkmenistan
Turkmen State Architectural and Construction Institute, 136, st. Baba Annanova, c. Ashgabat 744025, Turkmenistan
* Corresponding author: amirhan31071989@mail.ru
The paper considers the assessment of the energy potential of wind energy in the eastern part of Turkmenistan, namely for the Koytendag district, various combinations of wind power plants are considered. It was determined that the installation of two wind power plants with a capacity of 0.75 MW does not cover the consumption of electricity. It was revealed that the minimum deficit is observed in February (12.6%), and the maximum in September (78.6%). It was analyzed that only in January there is an excess (12%). It was revealed that the installation of two wind power plants with a capacity of 1.5 MW gives an excess of 40% in December to 134% in March of energy consumed. The calculations made for the city of Atamurat considered various combinations of wind power plants, and as a result it was found that the installation of two wind power plants with a capacity of 0.75 MW each also does not cover consumption. It was found that for this case the minimum deficit is observed in July (16.5%), and the maximum in September (77.2%), and the maximum in January (2%) and March (17%). It was determined that the installation of two wind power plants with a capacity of 1.5 MW provides from 48.9% in August to 149.4% in March of the consumed amount. It is proposed as the optimal option for both regions to install one wind power plant with a capacity of 0.75 MW and one 1.5 MW with an output voltage of 690 V.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.