Optimizing Small-Scale Wind Energy Generation: Site-Specific Wind Speed Analysis and Turbine Placement Strategies Article Swipe
Shouket A. Ahmed
,
Adem Çiçek
,
Enes Bektaş
,
Khalil Farhan Yassin
,
Ahmed Dheyaa Radhi
,
Riyad Awad
,
Taha Abdulsalam Almalaisi
,
Nilisha Itankar
,
Ravi Sekhar
,
Ahmed H. Ahmed
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.31763/ijrcs.v5i2.1792
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.31763/ijrcs.v5i2.1792
Wind is an effective renewable power source suitable for localized electricity production when regional environmental factors have substantial impact on system output. The research studies the best wind turbine placement through wind speed variability studies conducted with calibrated anemometers and data loggers that assess site conditions. A data-based assessment method creates the research's main contribution which facilitates the optimization of wind power potential measurement for enhanced energy efficiency. The research methodology includes continuous Vantage Pro2 equipment together with anemometers at different heights for wind speed observation while performing accuracy-based calibration analysis. The research shows that elevating the turbine from seven meters to ten meters leads to a 12 percent growth in the amount of power produced. The power output of wind energy decreases as wind speed changes because of environmental conditions so proper installation locations become essential. Energy performance increases best when selecting sites which feature reliable and elevated wind speeds. This research provides useful knowledge about enhancing decentralized power generation through wind energy but it cannot be easily scaled up to bigger systems. The study demonstrates that specific site assessments together with practical recommendations will enhance the efficiency of small-scale wind energy systems.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.31763/ijrcs.v5i2.1792
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410375867
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410375867Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31763/ijrcs.v5i2.1792Digital Object Identifier
- Title
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Optimizing Small-Scale Wind Energy Generation: Site-Specific Wind Speed Analysis and Turbine Placement StrategiesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-24Full publication date if available
- Authors
-
Shouket A. Ahmed, Adem Çiçek, Enes Bektaş, Khalil Farhan Yassin, Ahmed Dheyaa Radhi, Riyad Awad, Taha Abdulsalam Almalaisi, Nilisha Itankar, Ravi Sekhar, Ahmed H. AhmedList of authors in order
- Landing page
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https://doi.org/10.31763/ijrcs.v5i2.1792Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.31763/ijrcs.v5i2.1792Direct OA link when available
- Concepts
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Wind power, Turbine, Wind speed, Environmental science, Scale (ratio), Marine engineering, Small wind turbine, Meteorology, Aerospace engineering, Engineering, Geography, Electrical engineering, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.placement | 29 |
| abstract_inverted_index.potential | 62 |
| abstract_inverted_index.practical | 183 |
| abstract_inverted_index.produced. | 115 |
| abstract_inverted_index.renewable | 4 |
| abstract_inverted_index.selecting | 142 |
| abstract_inverted_index.assessment | 48 |
| abstract_inverted_index.calibrated | 37 |
| abstract_inverted_index.conditions | 130 |
| abstract_inverted_index.continuous | 72 |
| abstract_inverted_index.data-based | 47 |
| abstract_inverted_index.efficiency | 188 |
| abstract_inverted_index.essential. | 136 |
| abstract_inverted_index.generation | 160 |
| abstract_inverted_index.performing | 87 |
| abstract_inverted_index.production | 11 |
| abstract_inverted_index.research's | 52 |
| abstract_inverted_index.anemometers | 38, 78 |
| abstract_inverted_index.assessments | 180 |
| abstract_inverted_index.calibration | 89 |
| abstract_inverted_index.conditions. | 45 |
| abstract_inverted_index.efficiency. | 67 |
| abstract_inverted_index.electricity | 10 |
| abstract_inverted_index.facilitates | 56 |
| abstract_inverted_index.measurement | 63 |
| abstract_inverted_index.methodology | 70 |
| abstract_inverted_index.observation | 85 |
| abstract_inverted_index.performance | 138 |
| abstract_inverted_index.small-scale | 190 |
| abstract_inverted_index.substantial | 17 |
| abstract_inverted_index.variability | 33 |
| abstract_inverted_index.contribution | 54 |
| abstract_inverted_index.demonstrates | 176 |
| abstract_inverted_index.installation | 133 |
| abstract_inverted_index.optimization | 58 |
| abstract_inverted_index.decentralized | 158 |
| abstract_inverted_index.environmental | 14, 129 |
| abstract_inverted_index.accuracy-based | 88 |
| abstract_inverted_index.recommendations | 184 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.09861113 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |