Abstract
Access limitation for the inspection, and maintenance and to a power source due to the remote location and the position of some of offshore wind turbine structures, for example, nacelle and blades severely limits the application of in-situ corrosion detection methods such as the ultrasonic, acoustic emission and X-Ray. Hence, the need for A Real Time Remote Sensing (RTRS) technology, that can be implemented to provide an autonomous detection and monitoring, providing exhaustive and detailed information on the corrosion process.
iWindCr is a technology development project funded by the Innovate UK which aims to develop a cost-effective end-to-end Non-Destructive Testing (NDT) corrosion detection and monitoring solution for wind turbines based on measurement of the changes in the electrochemical states such as potential, current or resistivity of turbine parts’ materials. The iWindCr’s proof of concept system comprises Wireless Sensor Network (WSN) of smart miniaturised sensors suitable for being affixed to internal and/or external turbine structures. iWindCr utilises the concept of Internet of Things (IoT) to integrate the WSN with satellite and terrestrial communication networks, providing a guaranteed IP for data backhaul from the remote wind-farm sites to the control room.
iWindCr has included in its programme: WSN of electrochemical sensor system design (UoP and Avonwood), extensive and comprehensive electrochemical testing and validation for benchmarking (one visit database) of corrosion threshold data (UoP), data analytics software user interface, telecommunication service using solar power VSAT satellite implementation (Avanti), Market analysis (Avanti).
iWindCr is a technology development project funded by the Innovate UK which aims to develop a cost-effective end-to-end Non-Destructive Testing (NDT) corrosion detection and monitoring solution for wind turbines based on measurement of the changes in the electrochemical states such as potential, current or resistivity of turbine parts’ materials. The iWindCr’s proof of concept system comprises Wireless Sensor Network (WSN) of smart miniaturised sensors suitable for being affixed to internal and/or external turbine structures. iWindCr utilises the concept of Internet of Things (IoT) to integrate the WSN with satellite and terrestrial communication networks, providing a guaranteed IP for data backhaul from the remote wind-farm sites to the control room.
iWindCr has included in its programme: WSN of electrochemical sensor system design (UoP and Avonwood), extensive and comprehensive electrochemical testing and validation for benchmarking (one visit database) of corrosion threshold data (UoP), data analytics software user interface, telecommunication service using solar power VSAT satellite implementation (Avanti), Market analysis (Avanti).
| Original language | English |
|---|---|
| Publication status | Published - 25 Sept 2018 |
| Event | Global Wind Summit 2018: WindEnergy Hamburg, Wind Europe - Hamburg Fair, Hamburg, Germany Duration: 25 Sept 2018 → 28 Sept 2018 https://www.windenergyhamburg.com/en/ |
Conference
| Conference | Global Wind Summit 2018 |
|---|---|
| Abbreviated title | GlobalWind2018 |
| Country/Territory | Germany |
| City | Hamburg |
| Period | 25/09/18 → 28/09/18 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics of 'iWindCr solution for corrosion detection and monitoring of offshore wind turbine structures'. Together they form a unique fingerprint.Research output
- 1 Article
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iWindCr field trial and electrochemical analysis for corrosion detection and monitoring offshore wind turbine’s MP-TP steel components
Simandjuntak, S., Bausch, N., Farrar, A. S., Ahuir-Torres, J., Thomas, B. & Muna, J., 1 Jul 2021, (Early online) In: Journal of Marine Engineering and Technology.Research output: Contribution to journal › Article › peer-review
Open AccessFile75 Downloads (Pure)
Projects
- 1 Finished
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UK Energy Catalyst project to develop a Wireless Sensor Network system for Corrosion Monitoring & Detection on Offshore Wind Turbines
Simandjuntak, S. (PI) & Bausch, N. (CoI)
1/10/17 → 31/03/19
Project: Research
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