Parçacık Sürü Optimizasyonu ile Tasarlanan Ayarlanmış Kütle Sönümleyicilerle Açık Deniz Rüzgar Türbinlerinde Titreşim Kontrolü

Yıl 2026, Cilt: 9 Sayı: 1, 292 - 306, 14.01.2026

İbrahim Şenaslan , Boğaç Bilgiç

https://doi.org/10.47495/okufbed.1700505

Öz

Küresel ölçekte sürdürülebilir enerjiye yönelik artan ilgiyle birlikte, çevresel avantajları ve yüksek enerji üretim potansiyeli sayesinde açık deniz rüzgar enerjisi önemli bir çözüm haline gelmiştir. Ancak açık deniz rüzgar türbinleri, deniz ortamının dinamik koşullarından kaynaklanan yapısal zorluklarla karşı karşıyadır. Mevcut çalışmada, açık deniz rüzgar türbini yapısında titreşim azaltma için tasarlanmış ayarlanmış bir kütle sönümleyicinin verimliliğini artırmak için Parçacık Sürüsü Optimizasyonu (PSO) kullanılmıştır. Sönümleyici parametrelerinin optimize edilmesiyle, yapısal titreşimler etkin bir şekilde azaltılarak enerji verimliliği artırılmakta, türbin ömrü uzatılmakta ve operasyonel kararlılık sağlanmaktadır. Elde edilen bulgular, açık deniz yenilenebilir enerji sistemlerinin güvenilirliğini ve performansını artırmada akıllı optimizasyon yöntemlerinin önemini vurgulamakta ve sürdürülebilir enerji geleceğine geçişi desteklemektedir

Anahtar Kelimeler

Parçacık Sürü Optimizasyonu , Açık deniz rüzgar türbini , Ayarlı kütle sönümleyici

Vibration Control of Offshore Wind Turbines via Particle Swarm Optimized Tuned Mass Dampers

Öz

With the growing global emphasis on sustainable energy, offshore wind power has become a key solution due to its environmental advantages and strong energy generation potential. However, offshore wind turbines face significant structural challenges caused by dynamic marine conditions. The present study utilizes Particle Swarm Optimization (PSO) to enhance the efficiency of a tuned mass damper designed for vibration mitigation in an offshore wind turbine structure. By optimizing the damper parameters, the system effectively reduces structural vibrations, contributing to improved energy efficiency, extended turbine lifespan, and increased operational stability. The results highlight the importance of intelligent optimization methods in advancing the reliability and performance of offshore renewable energy systems, supporting the transition toward a more sustainable energy future.

Anahtar Kelimeler

Particle Swarm Optimization , Offshore Wind Turbine , Tuned Mass Damper

Etik Beyan

The authors declare that have no competing interests.

Destekleyen Kurum

None.

Kaynakça

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