Adaptive neuro-fuzzy estimation of building augmentation of wind turbine power
作者： Dalibor Petković , Shahaboddin Shamshirband , Žarko Ćojbašić , Vlastimir Nikolić , Nor Badrul Anuar
DOI: 10.1016/J.COMPFLUID.2014.04.016
关键词:
摘要: Abstract Wind power is generating interest in many countries as a way to produce inexpensive and sustainable electrical power. Building integrated wind turbines (BIWTs) are an interesting option this respect. BIWTs low cost renewable sources of energy. Since the proportional cubic velocity approaching turbine, small amount speed acceleration leads large increase energy output. To augment free streams, open area between two buildings can be used diffuser by taking advantage Venturi effect. A system where winds kinetic called building augmented turbine (BAWT). This article shows that shape changed maximize generated augmentation. estimate augmentation using simplified model, paper constructed process simulated regard different geometries adaptive neuro-fuzzy (ANFIS) method. intelligent estimator was implemented MATLAB/Simulink. The simulation results presented demonstrated effectiveness method developed study.
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