In the position paper, titled "Making Renewables Smarter: The benefits, risks, and future of artificial intelligence in solar and wind," DVN GL has outlined advances in robotics, inspections, supply chain and the way of work in the renewable energy sector.
According to the report, AI could have an impact to increase efficiency in areas such as decision making and planning, condition monitoring, inspections, certifications and supply chain optimization and the way technical work is carried out within the renewable energy sector.
DNV GL – Energy technology and innovation director Lucy Craig said: “We expect the installation of more sensors, the increase in easier-to-use machine learning tools, and the continuous expansion of data monitoring, processing and analytics capabilities to create new operating efficiencies—and new and disruptive business models.”
According to the report, there is an increase in the use of robotics for remote inspection, with new benefits in maintenance and troubleshooting.
In the paper, DNV GL also highlighted that crawling robots can get close to surface of a structure, allowing new technologies, such as microwave and ultrasonic transmitters and receivers, to reveal faults in materials.
Additionally, autonomous driving robots will help to optimize the supply chain and also has potential to build the entire renewables projects, DNV GL said.
The report also outlined that autonomous drones with real-time AI-supported analysis will become the primary tool to conduct inspections of wind turbines and solar panels.
