Araştırma Makalesi

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

Cilt: 8 Sayı: 1 28 Nisan 2023
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Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. Babanyara, Y. Y. & Saleh, U. F. (2010). Urbanisation and the Choice of Fuel Wood as a Source of Energy in Nigeria. Journal of Human Ecology, 31(1), 19-26.
  2. Bloom, D. E. & Sachs, J. D. (2018). Geography, Demography and Economic Growth in Africa. Harvard Institute for International Development. Harvard. 237p.
  3. Bloch, R., Makarem, N., Yunusa, M., Papachristodoulou, N. & Crighton, M. (2015). Economic Development in Urban Nigeria. Urbanisation Research Nigeria (URN). Reserch Report. London: ICF International Creative Commons Attribution-Non-Commercial-ShareAlike CCBY-NC-SA.
  4. Boukhezzar, B. & Siguerdidjane, H. (2005). Nonlinear Control of Variable Speed Wind Turbines without wind speed measurement. Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, December 12-15.
  5. Cooley, C. G. & Parker, R. G. (2014). A Review of Planetary and Epicyclic Gear Dynamics and Vibrations Research. Transactions of the ASME, Applied Mechanics Reviews, 66, (040804), 1-15.
  6. Eastop, T. D. & McConkey, A. (2011). Applied Thermodynamics for Engineering Technologists. Dorling Kindersley, New Delhi. 735p.
  7. Etuk, E. M., Ikpe, A. E. & Adoh, A. U. (2020). Design and Analysis of Displacement Models for Modular Horizontal Wind Turbine Blade Structure. Nigerian Journal of Technology, 39(1), 121-130.
  8. Ekom M. E., Ikpe, E. O. & Ikpe, A. E. (2021). Computation of Aerodynamic Load(s) Induced Stresses on Horizontal Axis Wind Turbine Rotor Blade with Distinct Configurations. Journal of Science Part A: Engineering and Innovation, 8(3), 327-338.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Endüstri Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

28 Nisan 2023

Gönderilme Tarihi

23 Ekim 2022

Kabul Tarihi

21 Aralık 2022

Yayımlandığı Sayı

Yıl 2023 Cilt: 8 Sayı: 1

Kaynak Göster

APA
Ikpe, A., Usungurua, E., & David, V. (2023). Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle. Harran Üniversitesi Mühendislik Dergisi, 8(1), 27-41. https://doi.org/10.46578/humder.1193367
AMA
1.Ikpe A, Usungurua E, David V. Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle. HUMDER. 2023;8(1):27-41. doi:10.46578/humder.1193367
Chicago
Ikpe, Aniekan, Enefiok Usungurua, ve Victor David. 2023. “Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle”. Harran Üniversitesi Mühendislik Dergisi 8 (1): 27-41. https://doi.org/10.46578/humder.1193367.
EndNote
Ikpe A, Usungurua E, David V (01 Nisan 2023) Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle. Harran Üniversitesi Mühendislik Dergisi 8 1 27–41.
IEEE
[1]A. Ikpe, E. Usungurua, ve V. David, “Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle”, HUMDER, c. 8, sy 1, ss. 27–41, Nis. 2023, doi: 10.46578/humder.1193367.
ISNAD
Ikpe, Aniekan - Usungurua, Enefiok - David, Victor. “Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle”. Harran Üniversitesi Mühendislik Dergisi 8/1 (01 Nisan 2023): 27-41. https://doi.org/10.46578/humder.1193367.
JAMA
1.Ikpe A, Usungurua E, David V. Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle. HUMDER. 2023;8:27–41.
MLA
Ikpe, Aniekan, vd. “Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle”. Harran Üniversitesi Mühendislik Dergisi, c. 8, sy 1, Nisan 2023, ss. 27-41, doi:10.46578/humder.1193367.
Vancouver
1.Aniekan Ikpe, Enefiok Usungurua, Victor David. Numerical Analysis Of Horizontal Axis Wind Turbine (Hawt) Operation Variables And Their Influence On Performance Cycle. HUMDER. 01 Nisan 2023;8(1):27-41. doi:10.46578/humder.1193367