Abstract
As the wind power market grows rapidly, the importance of technology for real-time monitoring and diagnosis of wind turbines is increasing. However, most of the developed technologies and research mainly focus on large horizontal-axis wind turbines, and research conducted on small- and medium-sized wind turbines is rare. In this study, a novel low-cost and real-time health monitoring and diagnosis system for the small H-type Darrieus vertical axis wind turbine is proposed. Turbine operating conditions were classified into parked/idle and power production. In the case of the power production condition, abnormality diagnosis was performed using key monitoring parameters, including vibration, fundamental frequency, the bending stress of the tower and generator vibration. The turbine abnormalities were diagnosed in two stages by applying the alert and alarm limits, determined by referring to international standards and material properties and the long-term measurement data together.
Highlights
Interest in renewable energy and carbon-free energy sources has recently increased, resulting in wind energy coming into the spotlight as one of the most technically and economically efficient and practical alternatives
Health monitoring of wind turbines can be categorized into condition monitoring and structural health monitoring
International standards and guidelines for health monitoring of the aforementioned wind turbines deal with large horizontal-axis wind turbines (HAWTs)
Summary
Interest in renewable energy and carbon-free energy sources has recently increased, resulting in wind energy coming into the spotlight as one of the most technically and economically efficient and practical alternatives. The VDI 4551 standard mainly focuses on the structural health monitoring of wind turbines and provides requirements for measurement locations, sensor type, the number and specification of sensors for measuring acceleration, inclination and. International standards and guidelines for health monitoring of the aforementioned wind turbines deal with large horizontal-axis wind turbines (HAWTs). The health monitoring system employed for large-scale wind turbines can be applied to small- and medium-sized wind turbines. It is essential to optimize the health monitoring system to account for the cost and performance of each type and capacity of small- and medium-sized wind turbines. This study introduces an optimized health monitoring system and diagnosis method for a small H-type Darrieus vertical-axis wind turbine (VAWT).
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