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RELEASE: Shanghai Electric advances wind energy technology

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RELEASE: Shanghai Electric advances wind energy technology

(Information sent by the signatory company)

-Shanghai Electric advances wind energy technology with innovative blade roughness estimation method by leading expert Koji Fukami

ROSKILDE, Denmark, March 27, 2024 /PRNewswire/ -- In a significant development for the wind energy sector, Shanghai Electric Wind Power Group, a subsidiary of Shanghai Electric (SEHK:2727, SSE:601727), a well-known company for its dedication to clean energy equipment, recently celebrated the fifth anniversary of its European Innovation Center ("the Center") in Rosklide, Denmark.

At the 5th International Symposium on Leading Edge Erosion of Wind Turbine Blades recently held at the Technical University of Denmark, Koji Fukami, a senior blade design expert, presented his research titled “Engineering Estimation of Blade Edge Roughness Effect.” severe attack." His study, conducted in collaboration with the Centre, introduces a novel approach to estimating the impact of leading edge roughness on wind turbine blades in both offshore and onshore high precipitation environments.

"There is a crucial need to bridge academia and the wind energy industry, seeking more practical, time-efficient and cost-effective methods to evaluate and optimize blade designs under difficult conditions," said Koji Fukami.

Wind turbine blades play a critical role in the efficiency of wind energy generation, and their integrity directly affects the productivity of the system. Erosion, especially due to wind forces, is a common problem. The industry recognizes that rain erosion is the primary cause of damage to the leading edges of blades.

Megawatt-class blades operate at tip speeds in excess of 90 m/s, where raindrops can strike with significant bullet-like force, causing significant tearing forces. This repetitive impact leads to fatigue processes in which the coatings peel off under continuous shock and lateral tearing forces, resulting in damage to the protective layer that eventually compromises the entire leading edge protective structure.

When designing blades and airfoils for real-world operation, addressing the influence of harsh environmental conditions is imperative to achieving robust performance. The new approach presented allows accurate simulation of blade design with a reduction in computational demand, making the design process faster, less expensive and more functional. This cutting-edge modeling method plays a crucial role in ensuring the robustness and reliability of wind turbine blades in wind electric power as they face more extreme climate challenges.

This method uses unsteady aerodynamics concepts to optimize airfoil designs, based on simulation results that reflect real operating conditions. The high degree of alignment between the simulation data from this method and the experimental data publicly published by the University of Illinois indicates a strong agreement between the two sets of results.

Next November, the Center will begin a new round of collaboration with the Technical University of Denmark, focusing on wind tunnel experiments to test the performance of new airfoil designs and evaluate new simulation methods.

The Centre, founded in March 2019, has capitalized on Denmark's strategic strengths in the wind energy sector, covering wind turbine technology, sector growth, application knowledge and the natural environments required for wind turbine installations. wind power. This approach has attracted a host of elite engineering specialists to the Center.

The Centre, which has rapidly evolved from a single office start-up to a modern science and innovation center with a significant employee base, has to date achieved a number of successes in technological innovation projects and has acquired numerous patents. These advances are progressively being used to boost advances in control algorithms, load analysis, blade design and wind farm optimization.

For more information, please visit https://www.shanghai-electric.com/listed_en/windpower/.

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