Wind turbine blades as a strain energy source for energy harvesting

Dong Won Lim; Susan C. Mantell; Peter J. Seiler; Rusen Yang

Wind turbine blades as a strain energy source for energy harvesting

Dong Won Lim
, Susan C. Mantell
, Peter J. Seiler
, Rusen Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Structural health monitoring of wind turbine blade mechanical performance can inform maintenance decisions, lead to reduced down time and improve the reliability of wind turbines. Wireless, self-powered strain gages and accelerometers have been proposed to transmit blade data to a monitoring system located in the nacelle. Each sensor node is powered by a strain Energy Harvester (EH). The amplitude and frequency of strain at the blade surface (where the EH is mounted) must be sufficient to enable data transfer. In this study, the strain energy available for energy harvesting is evaluated for three typical wind turbines with different wind conditions. A FAST simulation code, available through the National Renewable Energy Lab (NREL), is used to determine bending moments in the wind turbine blade. Given the moment data as a function of position along the blade and time (i.e. blade rotational position), strain in the blade is calculated. The data provide guidance for optimal design of the energy harvester.

Original language	English (US)
Title of host publication	51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013
State	Published - 2013
Event	51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013 - Grapevine, TX, United States Duration: Jan 7 2013 → Jan 10 2013

Publication series

Name	51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013

Other

Other	51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013
Country/Territory	United States
City	Grapevine, TX
Period	1/7/13 → 1/10/13

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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Wind turbine blades as a strain energy source for energy harvesting. / Lim, Dong Won; Mantell, Susan C.; Seiler, Peter J. et al.
51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013. 2013. (51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lim, DW, Mantell, SC, Seiler, PJ & Yang, R 2013, Wind turbine blades as a strain energy source for energy harvesting. in 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013, 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013, Grapevine, TX, United States, 1/7/13.

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title = "Wind turbine blades as a strain energy source for energy harvesting",

abstract = "Structural health monitoring of wind turbine blade mechanical performance can inform maintenance decisions, lead to reduced down time and improve the reliability of wind turbines. Wireless, self-powered strain gages and accelerometers have been proposed to transmit blade data to a monitoring system located in the nacelle. Each sensor node is powered by a strain Energy Harvester (EH). The amplitude and frequency of strain at the blade surface (where the EH is mounted) must be sufficient to enable data transfer. In this study, the strain energy available for energy harvesting is evaluated for three typical wind turbines with different wind conditions. A FAST simulation code, available through the National Renewable Energy Lab (NREL), is used to determine bending moments in the wind turbine blade. Given the moment data as a function of position along the blade and time (i.e. blade rotational position), strain in the blade is calculated. The data provide guidance for optimal design of the energy harvester.",

author = "Lim, \{Dong Won\} and Mantell, \{Susan C.\} and Seiler, \{Peter J.\} and Rusen Yang",

year = "2013",

language = "English (US)",

isbn = "9781624101816",

series = "51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013",

booktitle = "51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013",

note = "51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013 ; Conference date: 07-01-2013 Through 10-01-2013",

}

TY - GEN

T1 - Wind turbine blades as a strain energy source for energy harvesting

AU - Lim, Dong Won

AU - Mantell, Susan C.

AU - Seiler, Peter J.

AU - Yang, Rusen

PY - 2013

Y1 - 2013

N2 - Structural health monitoring of wind turbine blade mechanical performance can inform maintenance decisions, lead to reduced down time and improve the reliability of wind turbines. Wireless, self-powered strain gages and accelerometers have been proposed to transmit blade data to a monitoring system located in the nacelle. Each sensor node is powered by a strain Energy Harvester (EH). The amplitude and frequency of strain at the blade surface (where the EH is mounted) must be sufficient to enable data transfer. In this study, the strain energy available for energy harvesting is evaluated for three typical wind turbines with different wind conditions. A FAST simulation code, available through the National Renewable Energy Lab (NREL), is used to determine bending moments in the wind turbine blade. Given the moment data as a function of position along the blade and time (i.e. blade rotational position), strain in the blade is calculated. The data provide guidance for optimal design of the energy harvester.

AB - Structural health monitoring of wind turbine blade mechanical performance can inform maintenance decisions, lead to reduced down time and improve the reliability of wind turbines. Wireless, self-powered strain gages and accelerometers have been proposed to transmit blade data to a monitoring system located in the nacelle. Each sensor node is powered by a strain Energy Harvester (EH). The amplitude and frequency of strain at the blade surface (where the EH is mounted) must be sufficient to enable data transfer. In this study, the strain energy available for energy harvesting is evaluated for three typical wind turbines with different wind conditions. A FAST simulation code, available through the National Renewable Energy Lab (NREL), is used to determine bending moments in the wind turbine blade. Given the moment data as a function of position along the blade and time (i.e. blade rotational position), strain in the blade is calculated. The data provide guidance for optimal design of the energy harvester.

UR - https://www.scopus.com/pages/publications/84881464612

UR - https://www.scopus.com/pages/publications/84881464612#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:84881464612

SN - 9781624101816

T3 - 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013

BT - 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013

T2 - 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013

Y2 - 7 January 2013 through 10 January 2013

ER -

Wind turbine blades as a strain energy source for energy harvesting

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