Wave-predicting robots could cut green energy costs
Underwater robots that can predict waves in real-time could reduce the cost of producing offshore renewable energy, a study suggests.
New technology that enables robots to work stably in turbulent seas could make it cheaper, faster and safer to maintain offshore wind farms and tidal turbines, researchers say.
Until now, the unpredictable nature of waves – which make it difficult for machines to remain stable and perform precise movements – has limited the use of robots in the upkeep of offshore platforms.
Unmanned robots
Stationing autonomous robots offshore to perform routine maintenance would reduce the cost of generating renewable energy, which is typically much higher than using fossil fuels, the team says.
It could also simplify operations – which currently can involve ships and helicopters or hoisting equipment out of the water – and remove the need for people to work in dangerous settings.
Wave tests
Edinburgh engineers have developed new computational and experimental tools to enable autonomous robots to maintain a steady position amid irregular, buffeting waves.
The researchers trialled their system at the University’s FloWave testing tank, using wave data captured by a buoy in the North Sea to mimic the types of conditions robots might work in.
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