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Research Article
Online Published: 14 Nov 2020
 


Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine

Mohammed Gwani.


Abstract
This paper presents the performance investigation and adaptive neuro-fuzzy prediction of a building integrated straight-bladed vertical axis wind turbine (VAWT). An experiment was conducted with the VAWT integrated on the building rooftop. The coefficient of power of the VAWT was predicted using adaptive neuro-fuzzy inference system (ANFIS). The input variables for the model development include the rotational speed, angular velocity, and tip speed ratio, while coefficient of power is the output. In the fuzzy logic of the fuzzy inference system (FIS), the parameter of the membership function is adjusted by the neural network in ANFIS. MATLAB/Simulink was used to implement this intelligent algorithm and the performance was investigated using root mean square error (RMSE) and coefficient of determinant (R2). In addition, the ANFIS technique precision was evaluated against the results of the experiment. The result obtained indicates that the maximum coefficient of power (Cpmax) was obtained at about Y = 250 mm above the building rooftop. Furthermore, it was also established that the developed ANFIS model is very effective and reliable in predicting the performance of building integrated straight-bladed VAWT.

Key words: Coefficient of power; Wind turbine; Adaptive neuro-fuzzy; ANFIS; Power, Torque


 
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Pubmed Style

Mohammed Gwani. Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equijost. 2020; 7(2): 49-58.

Web Style

Mohammed Gwani. Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. https://www.equijost.com/?mno=106442 [Access: June 27, 2026].

AMA (American Medical Association) Style

Mohammed Gwani. Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equijost. 2020; 7(2): 49-58.


Vancouver/ICMJE Style

Mohammed Gwani. Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equijost. (2020), [cited June 27, 2026]; 7(2): 49-58.


Harvard Style

Mohammed Gwani (2020) Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equijost, 7 (2), 49-58.


Turabian Style

Mohammed Gwani. 2020. Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equity Journal of Science and Technology, 7 (2), 49-58.


Chicago Style

Mohammed Gwani. "Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine." Equity Journal of Science and Technology 7 (2020), 49-58.


MLA (The Modern Language Association) Style

Mohammed Gwani. "Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine." Equity Journal of Science and Technology 7.2 (2020), 49-58. Print.


APA (American Psychological Association) Style

Mohammed Gwani (2020) Performance investigation and Adaptive Neuro-Fuzzy prediction of a Building Integrated Straight-Bladed Vertical Axis Wind Turbine. Equity Journal of Science and Technology, 7 (2), 49-58.




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