Advanced photonics for marine hydrokinetic structural health monitoring

The results of demonstration tests of a full-scale hydrokinetic turbine for river and tidal sites, are presented at the conclusion of the EU-funded CRIMSON project. The turbine features a 3-bladed crossflow, 9.0 m2 capture area rotor, representing one module of the ORPC RivGen© technology. A comprehensive matrix of operational trials was performed to characterize the turbine hydrodynamic performance and the efficiency of the power conversion system. An advanced blade structural monitoring system based on fiber-optics strain sensors was implemented and validated. The full-scale turbine tests were carried out at the hydrodynamics testing infrastructure at the Institute of Marine Engineering of the National Research Council (CNR-INM). This facility, among the largest of its kind globally, provided fully controlled and repeatable conditions that allowed to deliver a high-quality dataset on system performance and reliability, contributing to develope new knowledge for the enhancement of hydrokinetic turbine technology. The results allow ORPC to characterize the strain profile precisely over a rotation and to identify the maximum/minimum strain experienced by the foil for every flow condition tested.

Disciplines

Cross-discipline, Environment

Keywords

Tidal Energy, Tow tank testing, strain, Structural health monitoring, River, Tidal, Hydrokinetic Energy, Crossflow turbines, Fibre optic sensing, marine energy, composite

Location

41.787624N, 41.787624S, 12.460461E, 12.460461W

Devices

Summary

The calm water towing tank at the Institute of Marine Engineering of the National Research Council (CNR-INM, Rome, Italy), is among a few hydrodynamic testing facilities in Europe and globally where a full-scale device with the characteristics of the CRIMSON turbine can be operated under fully controlled and repeatable conditions. The tank is 460 m long, 13.5 m wide, and 6.5 m deep and is equipped with a towing carriage powered by 4x92 kW electric motors. The carriage speed can reach 15 m/s and is controlled with 0.1% precision. In the towing tank environment, the operating conditions of an instream hydrokinetic device are reproduced by towing the device at imposed speed against water at rest in the tank. 

Turbine model

The helicoidal crossflow turbine tested in this project is the same turbine mounted on ORPC's power systems, such as the RivGen® power system. The turbine is mainly composed of three carbon fiber foils, three glass fiber struts, and a steel shaft. The assembly is 5 m long, 1.8 m in diameter.

Structural Health Monitoring

The structural response of the instrumented foil was characterized by fiber optic with FBG sensors embedded to measure strain at given locations along the foil span. These optical fibers were spliced to a Fiber Optic Rotary Joint (FORJ) which was connected to an interrogator. Once the interrogator interpreted the signal, data was transferred to a panel PC installed on the electrical cabinet.

The foil was equipped with 34 FBG sensors distributed on five custom-made fiber optics. These sensors were placed to capture the maximum strain around each joint and to characterize the strain distribution along the span of the foil. Due to noise on channel 5, two fibers have been swapped during the test period; for consistency of the data, only channels 1, 3, and 4 are shared in the database. Channels and sensors details are defined in Table 1.

Channel

FBG

Location of the fiber

Z coordinate (mm)

1

Sensor 1

Joint locations

800

1

Sensor 2

Joint locations

1000

1

Sensor 3

Joint locations

2400

1

Sensor 4

Joint locations

2600

1

Sensor 5

Joint locations

4000

1

Sensor 6

Joint locations

4200

3

Sensor 1

Cantilever end - Port

4200

3

Sensor 2

Cantilever end - Port

4300

3

Sensor 3

Cantilever end - Port

4400

3

Sensor 4

Cantilever end - Port

4500

3

Sensor 5

Cantilever end - Port

4600

3

Sensor 6

Cantilever end - Port

4700

3

Sensor 7

Cantilever end - Port

4800

4

Sensor 1

Cantilever end – Starboard

800

4

Sensor 2

Cantilever end – Starboard

700

4

Sensor 3

Cantilever end – Starboard

600

4

Sensor 4

Cantilever end – Starboard

500

4

Sensor 5

Cantilever end – Starboard

400

4

Sensor 6

Cantilever end – Starboard

300

4

Sensor 7

Cantilever end – Starboard

200

     
Table 1      

The interrogator used for this test allows recording at a very high frequency (up to 19.67kHz) but only records one channel at a time. Sensing parameters have been established based on the range of the turbine rotation speed and the data storage capacity. Most of the runs have been recorded with the sensing parameters shown in Table 2; some runs have been recorded at 10kHz but with sampling one channel at a time, allowing to have high-resolution data.

Sensing parameters

Value

Sampling frequency (kHz)

10

Sampling time per channel (µs)

2500

Channel switching time (kHz)

1

Number of channels recorded

Varying from 4 to 6

Table 2

 

Test Matrix

The data shared covers a large part of the run schedule performed during the testing period. Other tests, such as reverse runs and end ties, have been performed but are not included in this database.

Test Files

The files shared in this database are separated into three different folders.

  • CROP – Covers a single rotation at 2 m/s for several TSR (1.6, 2, 2.4, 2.8, 3.2 and 3.6).
  • HR – High-resolution runs for a specific flow condition, 2 m/s at a TSR of 2.4. Files are available for 3 different channels (C1, C3, and C4); these files come from separate runs.
  • MAX – Summary table of the maximum and minimum strain recorded during each run shown on the test matrix. It includes flow conditions from 1m/s to 2.25 m/s with a TSR varying from 1.6 to 3.8.

Test files format

The files in the data base are named following the format:

A_125_TSR200_MAX_C1

A: Operating condition, 125: 1.25 Carriage speed (m/s), TSR200: Tip Speed Ratio, MAX: Data Type, C1: Channel recorded

Data

FileSizeFormatProcessingAccess
Strain measurements (Crimson Testing)
4 MoCSVProcessed data
How to cite
Cronin Patrick, Courade Clement, Dillon Conor, Knoblauch Harry, Loic Lebot, Falchi Massimo, Salvatore Francesco (2024). Advanced photonics for marine hydrokinetic structural health monitoring. SEANOE. https://doi.org/10.17882/101260

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