Aniekan IKPE, Enefiok USUNGURUA, Victor DAVİD

YATAY EKSENLİ RÜZGAR TÜRBİNİ (HAWT) ÇALIŞMA DEĞİŞKENLERİNİN VE BUNLARIN PERFORMANS DÖNGÜSÜNE ETKİSİNİN SAYISAL ANALİZİ

Rüzgar türbinleri, sık kullanılması nedeniyle sürekli yeniliklere ve tasarım ve verimlilik optimizasyonu arayışlarına tanık olan güvenilir yenilenebilir enerji kaynaklarından biri olmuştur. Yaygın olarak kullanılan tip, Yatay Eksenli Rüzgar Türbini (HAWT) olarak da bilinen Yatay Rüzgar Türbini'dir. HAWT'nin işlevselliğini etkileyen zorunlu faktörleri anlamak, optimum tasarımı hakkında bilgi sağlar. Bu nedenle bu çalışma, HAWT çalışma değişkenlerinin sayısal analizini ve bunların performans parametreleri üzerindeki etkilerini x-ışınları ile incelemektedir..

Anahtar Kelimeler:

Wind turbine, Renewable energy, operation variables, numerical analysis

Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle

Wind turbines have been one of the dependable sources of renewable energy that due to its abundance, have witnessed constant innovations and quest for design and productivity optimization. The commonly used type is Horizontal Wind Turbine also known as Horizontal Axis Wind Turbine (HAWT). Understanding the imperative factors influencing the functionality of HAWT provides insight into its optimal design. This study therefore x-rays the numerical analysis of HAWT operation variables and their influence on its performance parameters. Research Likert questionnaires with  identified operation variables with weighty factors that have influence on HAWT were developed and distributed to  trained, knowledgeable and experienced wind turbine engineers/operators with  respondents outcome. A  data matrix were collated. With  variables identified, iterations were computed. Ten (10) clusters (F1 to F2) were optimised, with each cluster consisting of computed influential variable(s) as input data and rated factors (output) computed as maximum value for each variable, being ranked by 13 judges in Sequential Merit Order (SMO) based on their influence on HAWT. Kendall’s Coefficient of Concordance (w) and Principal Component Analysis statistical models were employed. Respondents’ scores transposed into data matrix, fed into StatistiXL software; and eigenvalues, eigenvectors, factor loadings, descriptive statistics and case wise factor scores (correlation matrix) were computed. A value of w=0.56 (middling) obtained as the level of consistency. The level of coherence/agreement of data using chi-square model had ,  ( at ). Therefore, null hypothesis H0 rejected; alternative hypothesis H1 accepted, which implies strong agreement with the data at 95% confidence level.

Keywords:

wind turbine, renewable energy, numerical analysis, operation variables,

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