Kullanımda Olan 2,5 MW Kapasiteli Bir Rüzgâr Türbininden Veri Toplanması, Sistem Tanımlama ve Model Güncelleme

Year 2023, , 611 - 622, 27.09.2023

Onur Öztürkoğlu , Yaşar Taner , Veysel Yurtseven , Özgür Özçelik , Serkan Günel

https://doi.org/10.21205/deufmd.2023257508

Abstract

Rüzgâr enerjisi, dünya genelinde hızla artan enerji ihtiyacı ve bu ihtiyacın çevreci çözümlerle giderilmesi gerekliliğiyle önemini her geçen gün arttırmaktadır. Kısa zamanda daha çok enerji üretebilen görece büyük rüzgâr türbinleri, rüzgâr enerji potansiyelinin fazla olması nedeniyle deprem bölgelerinde de inşa edilmektedir. Rüzgâr türbinlerinin ekonomik ömrü boyunca operasyonel kalabilmesi için yapısal bütünlüğünün izlenmesi ve dinamik özelliklerinin değişken operasyonel ve çevresel faktörler altında belirlenmesi büyük önem taşımaktadır. Bu çalışmada, kullanımda olan 2,5 MW üretim kapasiteli bir rüzgâr türbini için özgün veri toplama sistemi tasarlanmıştır. Sistemin kendi sensörlerinin topladığı ivme, sıcaklık ve nem verilerine ek olarak türbin SCADA sisteminden alınan rüzgâr hızı, rüzgâr yönü, rotor hızı, nasel yönü, pitch açısı ve anlık enerji üretim değeri verileri senkronize olarak kaydedilmiştir. Farklı çevresel ve operasyonel koşullar altında toplanan ivme verileri ile operasyonel modal analizler yapılmış ve türbinin dinamik özellikleri belirlenmiştir. Son olarak mod frekanslarının çevresel ve operasyonel faktörler ile ilişkisi de göz önünde bulundurularak, türbinin sayısal modeli güncellenmiştir.

Keywords

Model Güncelleme, Sistem Tanımlama, Operasyonel Modal Analiz, Operasyonel ve Çevresel Etkiler, Rüzgar Türbinleri

Supporting Institution

TÜBİTAK

Project Number

120M218

Thanks

Yazarlar, 120M218 numaralı projede verdiği mali destek için Türkiye Bilimsel ve Teknolojik Araştırma Kurumu’na (TÜBİTAK), saha çalışmalarında verdiği desteklerden ötürü Dost Enerji’ye ve verdiği ekipman desteği için Kenkart A.Ş.’ye teşekkürlerini sunmaktadır.

Data Acquisition, System Identification and Model Updating of an In-Service 2.5 MW Wind Turbine

Abstract

The importance of wind energy is increasing day by day due to the rapidly increasing energy needs around the world and the necessity of meeting these needs with renawable solutions. Relatively large wind turbines, which can produce more energy in a short time, are also built in earthquake zones due to high wind energy potential. In order for wind turbines to remain operational throughout their economic life, it is important to monitor their structural integrity and to determine their dynamic (modal) properties under different operational and environmental conditions. In this study, a novel data acquisition system is designed for a wind turbine with a production capacity of 2.5 MW. In addition to real-time acquisition of acceleration, temperature and humidity data collected by the novel system, wind speed, wind direction, rotor speed, nacelle direction, pitch angle and instantaneous energy production data obtained from the turbine SCADA system are recorded and merged wıth the other data synchronously. Using the acceleration data collected under different environmental and operational conditions, numerous operational modal analysis are performed, and the dynamic modal properties of the turbine tower are estimated and a correlative work between the estimated modal parameters with environmetal and operational factors are presented. Finally, the numerical model of the turbine is updated using the estimated values by a Bayesian method.

Keywords

Model Updating, System Identification, Operational Modal Analysis, Operational and Enviromental Factors, Wind Turbines

Project Number

120M218

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