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Developing an empirical model to predict the winding coil temperature for a compact wind turbine
Author(s) -
Y. N. Zaiazmin,
Ismail Khairul Nizar,
M.S. Abdul Manan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2051/1/012009
Subject(s) - electromagnetic coil , computational fluid dynamics , turbine , natural convection , empirical modelling , generator (circuit theory) , replicate , turbine blade , mechanical engineering , simulation , mechanics , convection , engineering , mathematics , electrical engineering , physics , thermodynamics , power (physics) , statistics
One of the problems with a compact wind generator is a temperature control. The aim of this research is to establish an empirical model for estimating the winding coil temperature through natural convection cooling. The modeling process began with physical experimentation at different operating conditions while measuring temperature at various positions on the compact wind generator. Later, simulation experiment is divided into two sections: Electromagnetic (EM) simulation and Computational Fluid Dynamic (CFD) simulation. The electromagnetic simulation was applied and tested successfully, with a V peak discrepancy of less than 4 percent. While the CFD software was then used to replicate the natural convection cooling effects at the compact generator. The CFD results were validated by experimental measurements with a difference in winding coil temperature of less than 9 percent. Then, using Design of Experiment (DOE), various operating conditions were simulated to evaluate the results and Analysis of Variance (ANOVA) was used to develop the empirical model. The empirical model for estimating the winding coil temperature with a difference of less than 10% from experimental data was successfully developed. As a result, the empirical model can be used to estimate the winding coil temperature at different operating conditions with a good accuracy.

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