Wind Velocity Vertical Extrapolation by Extended Power Law

Şen, Zekâi̇; Altunkaynak, Abdüsselam; Erdik, Tarkan

doi:10.1155/2012/178623

Cited by 40 publications

(14 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The FBG‐based sensors are durable, have a long life and are relatively easy to install. The instrumentation similar to the one assumed in the paper has been carried out in . Once the strain data are available, the setting up of KF needs low expertise, as the NAE estimate is robust even if the initialization of the KF is incorrect and has been successfully implemented in …”

Section: Discussionmentioning

confidence: 99%

“…The wind pressure was applied on the surface area facing the wind, in order to compute the force. The force increases according to the wind profile power law along the height of the tower, and the wind loads were varied accordingly on the structure. The applied wind loads were similar to those experienced by the tower in actual operation.…”

Section: Finite Element Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Bi-axial neutral axis tracking for damage detection in wind-turbine towers

2015

View full text Add to dashboard Cite

This work concentrates on Structural Health Monitoring (SHM) of a wind turbine tower. A decision level data fusion based on bi-axial tracking of change in neutral axis (NA) position is proposed. A discrete Kalman Filter (KF) is employed for the estimation of the NA in the presence of measurement noise from the strain sensors. The KF allows data fusion from the strain sensors and the yaw mechanism for the accurate estimation of the NA. Any change in the NA position may be used as an indicator for the presence and location of the damage. The ratio of the change in the NA along two perpendicular axes is taken and used for the localization. The study has been carried out on the simulated finite element (FE) model of the wind turbine tower and indicates that bi-axial NA tracking based on data fusion is indeed necessary and at the same time is sensitive to damage. The sensitivity studies carried out indicate that the metric is robust enough to overcome the effects of measurement noise and yawing of the nacelle.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Finite Element Modellingmentioning

confidence: 99%

Bi-axial neutral axis tracking for damage detection in wind-turbine towers

2015

View full text Add to dashboard Cite

show abstract

“…A peak wind pressure was selected and applied on the surface area facing the wind, in order to compute the force. The force increases according to the power law along the height of the tower (Sen et al 2012). The blades, however, were assumed to be pitched into a full aerodynamic brake position to ensure minimal rotor motion and consequent change in mass distribution, which may affect the NA (Bas et al 2012).…”

Section: Dtu 10 Mw Rwtmentioning

confidence: 99%

Detection of Damage in Metallic Structures for Offshore Applications

2016

View full text Add to dashboard Cite

Wind energy is seen as one of the most promising solutions to man's ever increasing demands of a clean source of energy. However, a major drawback of the wind energy is the high initial cost for setting up and maintenance. This makes the energy more expensive than the conventional energy sources like fossil fuels and nuclear and hence it has not been widely accepted. Thus, there is a concerted effort to reduce the cost of energy production. This can be achieved by increasing the lifetime of the wind turbines; reducing maintenance costs and ensuring low downtime of the turbine. The lifetime may be increased by ensuring a more robust design while the maintenance cost and the downtime of the equipment may be lowered through the use of condition monitoring (CM) and structural health monitoring (SHM). SHM allows early detection of damage and allows maintenance planning which becomes more important in the off-shore industry where the cost of unscheduled maintenance are high due to the need of specialized equipment. Also, maintenance planning can allow us to avoid unnecessary downtime, hence increasing the availability of the system. In wind turbine structures, tower damage is the third most common damage in wind turbines. Thus, this work concentrates on SHM of a wind turbine tower. A decision level data fusion based on bi-axial tracking of change in Neutral Axis (NA) position is proposed. A discrete Kalman Filter (KF) is employed for the estimation of the NA in the presence of measurement noise from the strain sensors. The KF allows data fusion from the strain sensors and the yaw mechanism for the accurate estimation of the NA. Any change in the NA position may be used as an indicator for the presence and location of the damage. The ratio of the change in the NA along two perpendicular axes is taken and used for the localization. The study has been carried out on the simulated finite element (FE) model of the wind turbine tower and indicates that bi-axial NA tracking based on data fusion is indeed necessary and at the same time is sensitive to damage. The proposed methodology is then validated on real strain data from the Nordtank NTK 500/41 wind turbine. Based on the results presented, the change in NA is indeed a robust damage indicator insensitive to ambient condition changes, and the applied loads.

show abstract

“…Wind speed data are normally measured at a certain height and, in most cases, the wind turbine hub is placed at a different height. In order to adjust the measured wind speed data to the level of the wind turbine hub, the power law is the most common expression accepted in the literature [17]. This law describes the vertical variation of wind speed and is formulated as…”

Section: Weibull Probability Distribution Of Wind Speedmentioning

confidence: 99%

Long-Term Wind Characteristics at Selected Locations in Mauritius for Power Generation

Dhunny

Lollchund

Rughooputh

2015

Journal of Wind Energy

View full text Add to dashboard Cite

Interests in wind energy have gained impetus in many developed and developing countries worldwide during the last three decades. This is due to awareness of the population about the depletion of fossil fuels as well as Government campaigns and initiatives to encourage the use of renewable sources of energy. This work focuses on the wind energy potential at two selected locations (Plaisance and Vacoas) in Mauritius. The emphasis is to assess whether small-wind turbines have a potential in these regions for generation of power for domestic applications. Such wind turbines can range in size from 400 W to 10 kW depending on the amount of electricity to be generated. The assessment is based on the correlation of the local wind speed data to a two-parameter Weibull probability distribution in order to effectively estimate the average wind power density of the sites. Nearly 40 years of mean wind speed data is utilized. Of the two sites investigated it is found that Plaisance yielded the highest wind velocity (as compared to Vacoas). The study also estimates the energy output of six commercial small-wind turbines of capacity ranging from 1 kW to 3 kW at these two sites, placed at multiple heights.

show abstract

Wind Velocity Vertical Extrapolation by Extended Power Law

Cited by 40 publications

References 15 publications

Bi-axial neutral axis tracking for damage detection in wind-turbine towers

Bi-axial neutral axis tracking for damage detection in wind-turbine towers

Detection of Damage in Metallic Structures for Offshore Applications

Long-Term Wind Characteristics at Selected Locations in Mauritius for Power Generation

Contact Info

Product

Resources

About