SCADA-Compatible and Scaleable Visualization Tool for Corrosion Monitoring of Offshore Wind Turbine Structures
- The shifting needs for the wind farm sector with regard to structural corrosion monitoring are identified and listed;
- A market analysis is performed and presented for existing, commercially available software solutions that combine these needs;
- A solution for the identified knowledge domain gap is presented, in the form of an open-source platform based software tool that can combine available SCADA data and web-based datastreams.
2.1. Maturity of the Wind Turbine Market
2.2. Standard Practices for Structural Stability Monitoring
2.3. Criteria for Structural Analysis of WT
- Graphical, as structural integrity is related to spatial distribution and location of occurrence.
- Scaleable and modular. WFs are modular and scaleable by nature, consisting of one, up to several hundreds, of WTs. Modular—to include other, non-corrosion wind-turbine failure modes (blade monitoring, gearbox monitoring, inverter monitoring, …).
- SCADA compatible, in order to leverage the vast amount of data already captured at the wind turbine (WT) and WF level.
- Web-based and secure, in order to allow data-analysis by experts, independent of the WF location and shielded from external tampering or unauthorised access.
- Maintenance planning-inclusive, as the data-based insights can trigger condition-based maintenance maintenance (CBM) or predictive maintenance (PdM) scheduling decisions, actively reducing OPEX.
3. Software Solutions
3.1. Existing Windfarm Visualisation Tools
3.2. Existing Visualisation Tools in Other Industries (Oil and Gas)
3.3. Custom SW Tool
3.3.1. Custom Architecture
3.3.2. Custom Visualisation SW Tool
- Querying measurement and geometric data from the database using a REST-API, based on user inputs in the GUI.
- Pre-processing these data, merging the inputs from different sources into key performance indicators (KPI’s) such as relative corrosion rate (mm/y).
- Exporting these data toward data-files and image.
- Visualising these data in interactive 3D and 2D visualisations.
- Initialisation, with connection to the database, and auto-populating of the dropdown menus for all wind turbines and sensor data available in the database.
- Selection of a wind turbine to present in 2D and 3D views.
- Selection of parameters, such as attributes and sensors to visualise and time period of interest.
- Modularity and expandability, for future functionality (as described in following section).
- The 3D visualisation of the sensor values at each sensor position on the wind turbine, as shown in Figure 5a,b.
- The 2D or 3D visualisation of derived the wall thickness loss/defect features or relative thickness.
- The 2D visualisation of a time series of a selected attribute, at a selected position, over the selected time period, shown in Figure 5c.
4. Conclusions and Further Research
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Verhelst, J.; Coudron, I.; Ompusunggu, A.P. SCADA-Compatible and Scaleable Visualization Tool for Corrosion Monitoring of Offshore Wind Turbine Structures. Appl. Sci. 2022, 12, 1762. https://doi.org/10.3390/app12031762
Verhelst J, Coudron I, Ompusunggu AP. SCADA-Compatible and Scaleable Visualization Tool for Corrosion Monitoring of Offshore Wind Turbine Structures. Applied Sciences. 2022; 12(3):1762. https://doi.org/10.3390/app12031762Chicago/Turabian Style
Verhelst, Joachim, Inge Coudron, and Agusmian Partogi Ompusunggu. 2022. "SCADA-Compatible and Scaleable Visualization Tool for Corrosion Monitoring of Offshore Wind Turbine Structures" Applied Sciences 12, no. 3: 1762. https://doi.org/10.3390/app12031762