Multi-gen genetic programming based improved innovative model for extrapolation of wind data at high altitudes, case study: Turkey
Yazarlar (1)
Prof. Dr. Cem EMEKSİZ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Computers and Electrical Engineering (Q2) | ||
| Dergi ISSN | 0045-7906 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 100 / 1 / – | DOI | 10.1016/j.compeleceng.2022.107966 |
| Makale Linki | http://dx.doi.org/10.1016/j.compeleceng.2022.107966 | ||
| UAK Araştırma Alanları |
Yenilenebilir Enerji Sistemleri
Elektrik Makineleri ve Enerji Dönüşümü
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| Özet |
| Wind speed is the most important input of wind energy conversion systems and has higher values at high altitudes. Therefore, tall wind measurement masts are used in the wind power industry to determine the wind speed at high altitudes. However, this situation brings many engineering problems (cost escalation, de-erection and re-erection of the masts due to the failure of the anemometer and sensors, lightning strikes, mechanical failures etc.). In this study, it is aimed to estimate the data at the hub height levels of the proposed wind power generators by placing shorter wind masts as a suitable alternative for longer masts. Therefore, we proposed an innovative model that uses multigene genetic programming to estimate wind speed at high altitudes. According to the power and logarithmic law, analysis results show that root mean square error (RMSE) values were decreased with proposed method in the wind speed estimation, 58.62% and 58.77% respectively. |
| Anahtar Kelimeler |
| Log-law | Multi-gen genetic programming | Power-law | Wind shear coefficient | Wind speed extrapolation |
Science Direct
Multi-gen genetic programming based improved innovative model for extrapolation of wind data at high altitudes, case study: Turkey
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 7 |
| Scopus | 11 |