Health Monitoring and Diagnosis System for a Small H-Type Darrieus Vertical-Axis Wind Turbine

Sungmok Hwang and Cheol Yoo
Additional contact information
Sungmok Hwang: Wind Energy Research Team, Korea Institute of Energy Research (KIER), 200 Haemajihaean-ro, Gujwa-eup, Jeji-si 63357, Jeju-do, Korea
Cheol Yoo: Wind Energy Research Team, Korea Institute of Energy Research (KIER), 200 Haemajihaean-ro, Gujwa-eup, Jeji-si 63357, Jeju-do, Korea

Energies, 2021, vol. 14, issue 21, 1-18

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.

Keywords: small wind turbine; H-type Darrieus; vertical-axis wind turbine; health monitoring; diagnosis (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/21/7246/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/21/7246/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:21:p:7246-:d:671013

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().