Analysis of Energy Potential of Micro Wind Turbines at Three Locations in the Central-Eastern Part of the Bulgarian Danube River Region

The share of renewable energy sources in the energy mix worldwide is gradually increasing. And even though they all have a highly variable nature, they can be forecasted statistically. The wind energy potential was investigated in this article in the Bulgarian Danube region, located between Ruse and Silistra. Two years of meteorological data, including the wind speed at 10 m height and the ambient temperature was used to estimate the average wind energy for each month of the year at three geographic locations – Ruse, Staro Selo (near Tutrakan), and Calarasi, Romania (near Silistra). The results showed that Staro Selo has the highest energy potential, reaching up to 0.75 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> in February, followed by Calarasi with 0.38 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The city of Ruse showed the lowest wind potential with the highest average monthly value reaching only 0.0027 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The obtained results showed that the regions around Tutrakan and Silistra are appropriate for the application of micro wind turbines.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/ciees62939.2024.10811326
Citations
3
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
1.76

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Energy Potential of Micro Wind Turbines at Three Locations in the Central-Eastern Part of the Bulgarian Danube River Region

Ivaylo Stoyanov, Nikolay Valov, Nicolay Mihailov, Katerina Gabrovska-Evstatieva et al.
3 citations
Global Energy Security and Policy
1.76
article

Analysis of Energy Potential of Micro Wind Turbines at Three Locations in the Central-Eastern Part of the Bulgarian Danube River Region

Ivaylo Stoyanov, Nikolay Valov, Nicolay Mihailov, Katerina Gabrovska-Evstatieva, Boris Evstatiev, Seher Kadirova, Tsvetelina Kaneva
article en
3 citations

Abstract

The share of renewable energy sources in the energy mix worldwide is gradually increasing. And even though they all have a highly variable nature, they can be forecasted statistically. The wind energy potential was investigated in this article in the Bulgarian Danube region, located between Ruse and Silistra. Two years of meteorological data, including the wind speed at 10 m height and the ambient temperature was used to estimate the average wind energy for each month of the year at three geographic locations – Ruse, Staro Selo (near Tutrakan), and Calarasi, Romania (near Silistra). The results showed that Staro Selo has the highest energy potential, reaching up to 0.75 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> in February, followed by Calarasi with 0.38 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The city of Ruse showed the lowest wind potential with the highest average monthly value reaching only 0.0027 kWh/day/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. The obtained results showed that the regions around Tutrakan and Silistra are appropriate for the application of micro wind turbines.

Angel Kanchev University of Ruse (BG)
Bulgarian National Science Fund
Affordable and clean energy
Openalex Percentile: Top 11%
Global Energy Security and Policy
1.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.