Sensor measurement strategies for monitoring offshore wind and wave energy devices

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Title: Sensor measurement strategies for monitoring offshore wind and wave energy devices
Authors: O'Donnell, Deirdre
Srbinovsky, Bruno
Murphy, Jimmy
Popovici, Emanuel
Pakrashi, Vikram
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Date: 9-Jul-2015
Online since: 2019-05-13T12:07:11Z
Abstract: While the potential of offshore wind and wave energy devices is well established and accepted, operations and maintenance issues are still not very well researched or understood. In this regard, scaled model testing has gained popularity over time for such devices at various technological readiness levels. The dynamic response of these devices are typically measured by different instruments during such scaled tests but agreed sensor choice, measurement and placement guidelines are still not in place. This paper compared the dynamic responses of some of these sensors from a scaled ocean wave testing to highlight the importance of sensor measurement strategies. The possibility of using multiple, cheaper sensors of seemingly inferior performance as opposed to the deployment of a small number of expensive and accurate sensors are also explored. An energy aware adaptive sampling theory is applied to highlight the possibility of more efficient computing when large volumes of data are available from the tested structures. Efficient sensor measurement strategies are expected to have a positive impact on the development of an device at different technological readiness levels while it is expected to be helpful in reducing operation and maintenance costs if such an approach is considered for the devices when they are in operation.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: IOP Publishing
Journal: Journal of Physics: Conference Series
Volume: 628
Keywords: Wind and wave energy devicesScaled model testingSensor measurement strategies
DOI: 10.1088/1742-6596/628/1/012117
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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