Technical Papers
May 8, 2015

System Efficiency of Miniature Horizontal-Axis Wind Turbines With and Without Gear Transmission

Publication: Journal of Energy Engineering
Volume 142, Issue 1

Abstract

In this paper, two miniature horizontal-axis wind-turbine systems (MHAWTs) with and without gear transmission consisting of commercially available off-the-shelf components were designed for harvesting energy from ambient airflow to power wireless sensors. The basic performance of the MHAWTs was tested at various wind speeds (28m/s) and resistive loads (10–500 Ω). The maximum output powers of the MHAWT with and without gear were 8.6 and 11 mW at the wind speed of 4m/s, which suggested that both MHAWTs enabled powering low-power wireless sensors in natural airflow environment. To analyze the system efficiency and predict the optimal resistive load of the MHAWTs, an equivalent-circuit model was used. According to this model, the maximum system efficiency of the MHAWT system was predicted to be 14.8%. The actual maximum system efficiency of the MHAWTs with and without gears was tested as 8.4% and 7.5% at the wind speed of 8 and 6.5m/s. In addition, the predicted optimal resistive loads of the MHAWTs with and without gear were 128 and 34 Ω, which correlated well with the tested results. The equivalent-circuit model is well suited to estimating and optimizing the performance of the MHAWTs.

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Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 142Issue 1March 2016

History

Received: Jul 11, 2013
Accepted: Mar 4, 2015
Published online: May 8, 2015
Discussion open until: Oct 8, 2015
Published in print: Mar 1, 2016

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Authors

Affiliations

Fujun Xu
Key Laboratory of Textile Science and Technology, Ministry of Education, Donghua Univ., Shanghai 201620, People’s Republic of China; formerly, Dept. of Mechanical and Aerospace Engineering, North Carolina State Univ., Raleigh, NC 27695.
Fuh-Gwo Yuan [email protected]
Dept. of Mechanical and Aerospace Engineering, North Carolina State Univ., Raleigh, NC 27695 (corresponding author). E-mail: [email protected]
Jingzhen Hu
Dept. of Electrical and Computer Engineering, North Carolina State Univ., Raleigh, NC 27695.

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