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

Authors : Aniekan IKPE, Enefiok USUNGURUA, Victor DAVİD

Pages : 27-41

Doi:10.46578/humder.1193367

View : 10 | Download : 6

Publication Date : 2023-04-28

Article Type : Research Paper

Abstract :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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(10); clusters insert ignore into journalissuearticles values(F1 to F2); were optimised, with each cluster consisting of computed influential variableinsert ignore into journalissuearticles values(s); as input data and rated factors insert ignore into journalissuearticles values(output); computed as maximum value for each variable, being ranked by 13 judges in Sequential Merit Order insert ignore into journalissuearticles values(SMO); based on their influence on HAWT. Kendall’s Coefficient of Concordance insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(correlation matrix); were computed. A value of w=0.56 insert ignore into journalissuearticles values(middling); obtained as the level of consistency. The level of coherence/agreement of data using chi-square model had ,  insert ignore into journalissuearticles values( 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, operation variables, numerical analysis