How quantum computing can change the landscape for UK wind power
Globally, there is a growing emphasis on developing national energy systems that help tackle climate change, improve security of supply and provide more stable, lower energy prices.
Wind power will be at the heart of any solution in the UK. In 2024, for the first year ever, it was the largest source of electricity generation in the UK, accounting for 30% and by 2030, the ambitious target is to deploy up to 50GW of offshore wind power around the UK coast.
To successfully deploy this quantity of renewable technologies, assets such as offshore wind farms and the infrastructure that supports them, must be optimised. Such optimisation tasks are complex, hard to solve and represent an enduring computational challenge.
The power of quantum computing
Solving complex optimisation problems is a key area where quantum computing is anticipated to provide real benefits in the future. A recent proof-of-concept project funded by the National Quantum Computing Centre (NQCC) has explored how these benefits might be achieved in practice in the renewable sector.
This project Consortium was led FrazerNash Consultancy, who leveraged their combined expertise in renewables and quantum technology, working collaboratively with partners: ORCA Computing, a leader in the field of photonic quantum computing and quantum-accelerated generative AI who contributed their expertise and domain know-how; The Crown Estate, who provided insight into the offshore wind energy industry in the UK; and The National Quantum Computing Centre who provided application support and quantum computing facilities.
Location, location, location
At the largest scales, the deployment of offshore wind needs to find the best locations for new wind farms around the UK coast and determine the shape they should be. This is a spatial optimisation problem, and the Consortium developed new techniques demonstrating that problems like this can be tackled with quantum computers. This is relevant, not only for offshore deployment modelling, but also for numerous other domains such as land use planning, facility layout, retailing and natural resource management.
Maximising energy production, ensuring economic viability
Zooming in on a single wind farm, optimising the locations of individual turbines is crucial for maximizing energy production and ensuring the economic viability of wind energy projects. The consortium developed a novel approach to this problem on quantum computers that integrates with industry-standard tools for modelling the interactions between wind turbines. This proof of concept demonstrates quantum solutions for wind farm layout at near-commercial levels of detail and opens up investigation into issues such as integration with existing workflows, benchmarking against classical solvers and resource estimation for full-scale solutions.
Optimising the logistics and maintenance of offshore wind deployments
Another fruitful area for quantum optimisation could be the logistics in the installation and maintenance of offshore wind deployments. While it is hoped that tackling such challenges lie within reach of near-term quantum computers, other applications will need fault tolerant quantum computers. These include improved materials science to design better turbines, as well as quantum simulation to enhance the understanding of turbine aerodynamics and improve wind and weather forecasting.
A quantum of solace
The UK is already a world leader in offshore wind, but by dealing with some of the sectors thorniest computational challenges, quantum computing can help maintain that position and boost UK competitiveness.
Realising the benefits of quantum computing requires trusted technical and offshore wind sector experts supporting and enabling quantum technology providers and operators. Ultimately, the value that quantum can bring to UK wind power is making our energy system work more efficiently, reducing the cost of energy bills, delivering environmental benefits and national energy security.
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