Analysis of Archimedes Spiral Wind Turbine Performance by Simulation and Field Test

Hyeonmu Jang, Dongmyeong Kim, Yechan Hwang, Insu Paek, Seungjoo Kim and Joonho Baek
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Hyeonmu Jang: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Dongmyeong Kim: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Yechan Hwang: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Insu Paek: Department of Advanced Mechanical Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Seungjoo Kim: Korea Testing Certification, 22, Heungan-dearo 27, Gunpo-si 15809, Korea
Joonho Baek: Department of Engineering Research, Eastern Star Cooperation Real Time Services (ESCO RTS), Doosanventuredigm, B112, Pyeongchon-Dong, 126-1, Dongan-Gu, Anyang, Gyeonggi-Do 431-070, Korea

Energies, 2019, vol. 12, issue 24, 1-11

Abstract: In this study, the performance of an Archimedes spiral wind turbine is analyzed by simulation and validated by a field test. It is characterized as a horizontal-axis drag-type wind turbine. This type of wind turbine cannot be analyzed by the well-known Blade Element Momentum(BEM) theory or Double Stream Tube Method(DSTM) commonly used to analyze the performance of lift-type wind turbines. Therefore, the computational fluid dynamics (CFD) method was applied. From the simulation, the power coefficient, known as the mechanical efficiency of the rotor, the tip speed ratio was obtained. The maximum power coefficient, and the corresponding tip speed ratio were found to be 0.293 and 2.19, respectively. In addition, the electrical efficiency with respect to the rotational speed of the generator was obtained through generator–controller test. The obtained mechanical and electrical efficiencies were used to predict the power curve of the wind turbine. Finally, the predicted performance of the wind turbine, including the electrical losses, was validated by the field test. The maximum error between the prediction and the measured power was found to be less than 7.80%.

Keywords: computational fluid dynamics; field test; system validation; small wind turbine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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