Wind energy is a vital part of our journey towards a zero-carbon future. As well as increasing the pace of deployment we also need to think smarter to use digital innovation across the worldwide operating wind fleet. Data trends from RES’ analysis show that often two thirds of turbines present…
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Contact usRES scooped the prize for Best Innovation – Software and Services, sponsored by SLR at the prestigious Scottish Green Energy Awards.
In December 2022, the company acquired Anemo Analytics, an innovative technology and engineering company offering sophisticated wind turbine analytics solutions that enable improved monitoring and optimisation of assets. Bringing together industry experts, the team has diligently worked on developing solutions for wind and solar assets. These solutions provide customers with even more sophisticated diagnostics, more accurate decision-making processes, support for more predictive maintenance, and result in better Annual Energy Production, reducing asset downtime.
RES’ innovative software empowers owners and operators to make informed, data-driven decisions. Performance optimisation, enhanced safety measures, cost reduction, minimised downtime, and efficient mitigation of stoppages have become a reality. This remarkable leap in data accuracy and speed is a game-changer, enabling engineers and turbine technicians to operate in real time and make impactful adjustments.
To date, customers have benefitted from increased yield due to improved yaw strategies and optimisation of aerodynamic yield underperformance, leading to improved Annual Energy Production (AEP). Additionally, the alignment of turbine controller parameter settings and mitigation of yaw overload and sliding also improve AEP, as well as asset integrity. In one wind farm, each 1-degree common pitch correction led to a 0.8% AEP performance improvement. These are just a few examples, but all improvements essentially maximise the performance of assets.
Michael Johansen, Director of Customer Solutions (Anemo), said, “Winning this award is a testament to the synergy between industry experience, core wind turbine engineering knowledge, proprietary algorithms, physics-based data models, and machine learning methodologies. I’m really proud of every member of the team for their continued hard work in creating innovative technology that holds transformative potential for the entire renewable sector in ways that were previously deemed unattainable.”
RES was also shortlisted as a finalist for the Outstanding Service Award for its control centre services. Their state-of-the-art control room in Glasgow handles more than 10,000 calls per month, monitoring 4GW of capacity from over 250 renewable energy developments worldwide. Last year, the team took part in an industry-wide emergency exercise involving more than 30 organisations, with the outcomes helping to drive safety performance across the global industry. From finding novel ways to work using gaming programs to collaborate through implementing AI automation to improve asset performance, the team goes above and beyond to ensure projects continue to run safely.
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Rising up to the challenge – how digital innovation can shape the future of the wind industry
Increasing annual energy yield with RES digital solutions
The challenge Typically, wind turbines operate to maximise their own energy production, without consideration of their interaction with other turbines across the whole wind farm. They also each have very good information about the wind flow at their location, but they don’t share this information across the wind farm to…
RES and National Renewable Energy Laboratory collaborate on innovative digital technology to drive wind turbine efficiency
3 September, Denver, USA – RES, the world’s largest independent renewables company, and the U.S.Department of Energy’s National Renewable Energy Laboratory (NREL), have partnered to license anddeploy an innovative technology to optimize the performance of wind turbines. The ‘Dynamic Yaw’ technology effectively innovates the yaw system of wind turbines –…