Posted on: in Blog

Stereax Field Trial at the Offshore Renewable Energy (ORE) Catapult

With increasing global concern about climate change, energy companies are looking to offer more renewable, clean sources of energy in order to meet the targets of the Paris Agreement. Wind energy is seen as a sustainable and eco-friendly solution and a recent report suggested the global offshore wind turbine market will increase 22.5% from 2018 to 2025 with annual revenue rising to $30.5 bn, representing 4.8% worldwide electricity usage at the end of 2019.

Key to the success of offshore wind as an energy source is ensuring that wind turbines work efficiently. Whilst the number of wind turbines is rapidly increasing, providing the world with 600 GWh of renewable energy every year, the repair of turbine blades is very costly due to the difficulty of accessing the blades themselves: an average blade repair can cost up to $30,000 and a new blade costs, on average, about $200,000.

Real-time monitoring of the blade’s health can help to avoid catastrophic events caused by delamination, cracks, impact or ice. However, if these sensors are hard-wired, placing many sensors on blades, which may be as long as 80m, is difficult and could be disruptive to the blade’s function and stability. Moreover, hard-wiring of sensors on blades is not only difficult but inadvisable because of the increased likelihood of a lightning strike. Fibre optic connections are also possible but expensive. Hence a wireless, battery-powered solution has distinct advantages. However, frequent replacement of batteries has environmental and cost implications, so a key feature of the batteries must be long-life. Also, due to the hostile location, these batteries need to operate at low and high temperatures in a high vibration environment.

At Ilika, we’ve been developing an integrated smart sensor - powered by a combined vibration harvester and a Stereax solid state battery – which can be installed in wind turbine blades. The development of this device was carried out in partnership with University of Chester Smart Composite Group led by Prof Yu Shi and  Prof Yu Jia at University of Aston and funded by Innovate UK as "Project SmartBlade". Following 20 months of development with our partners, we then undertook a field trial to test the ability of this device to autonomously power sensors on a real turbine blade, Figure 1.

Figure 1: Cartoon schematic of condition monitoring sensor’s function and components parts (key: mc = micro-processor) Courtesy of SmartBlade Consortium

                                                        

The field trial took place over two days in January 2020 at the Offshore Renewable Energy (ORE) Catapult’s National Renewable Energy Centre in Blyth, Northumberland. The facility holds a 40m long blade that is used to study the physical constraints placed on such a large construction with the aim of informing new, innovative blade designs, Figure 2.

Figure 2: Photographic picture of a 40 m blade

                                                                                                                    

We collaborated with ORE Catapult engineers in order to understand two things:

Wind turbine blades are hollow with enough space at their root for a person to stand inside. This internal cavity is the best place to fit any sensors and other electronics rather than putting them on the outside of the blade where they could disrupt the aerodynamics. Despite this level of protection, the sensing solution still needs to withstand hostile environmental conditions.

The first step of the study was to determine which parts of the blade deliver strain that can be harvested under rated wind strength conditions so as to optimise our chance of getting maximum energy in our battery. The ORE Catapult engineers modelled this strain data (Figure 3) and advised us to take measurements in a section 6.5 m away from the blade root and 2.6 m away from the trailing edge, as shown in Figure 4.

Figure 3: Modelled strain on the/a turbine blade

Figure 4: Position on the blade where we installed our sensor

As we wanted to test two things, we built and tested two prototype sensors each with different functions, as shown in Figure 5:

Sensor 1 consists of two parts:

Sensor 2 also has two sections:

Figure 5: Schematic representation of the two sensors

Figure 6: Photograph of PCB2 and both transducers

Figure 7: Photograph of PCB

The transducers are pieces of Macro Fiber Composite (MFC) which can produce electricity when bent (piezoelectricity). In this study, the transducers have two functions, Figure 6: first they create electrical energy to charge the battery; second they can send an electrical signal (strain data) containing a signature about its health. The frequency spectrum generated by Fast Fourier Transform (FFT) of the strain data has peaks that change frequency when cracks or delamination occur.

The Printed Circuit Board (PCB) consists of the main electronic components, Figure 7:

During the study, we placed our prototype sensors at the advised position, the ORE Catapult engineers then placed six 500 kg weights on the blade and started to “excite” the blade to mimic what would happen offshore under a wind of 8 m/s. The generated data are shown in Figure 8 and Figure 9.

Figure 8: Generated vibration data

Figure 9: Strain data and FFT response

So, what did we learn? Under vibrations equivalent to a wind speed of 8 m/s the battery can be fully charged in under five hours. Lab tests have shown that energy generated is highly dependent on vibration frequency, so this value is surprisingly high, considering the low vibrations frequencies measured. This shows that enough energy could be harvested to the device from wind-induced vibrations for a 10-minute cycle. i.e. strain data can be measured and communicated via the LoRa wireless module every 10 minutes. In reality such measurements don’t need to take place every 10 minutes because structural damage to a blade happens over hours and days rather than minutes. However real-time “in-situ” measurements can give an indication in advance of when a blade is potentially going to fail, enabling the fault to be fixed as soon as possible and avoiding costly downtime.

The result of this study was that it successful validated our concept of a sensing device that can be powered autonomously for a long time by harvesting energy from wind-induced vibrations. If you’d like to find out more about how our technology can help the condition monitoring of your wind turbines and blades, or perhaps in other related applications, contact us now at info@ilika.com.

Learn more about Stereax solid state batteries here