๐Ÿ“… QBlade will be exhibiting at HUSUM Wind 2025 ๐Ÿ“…

HUSUM WIND is coming up next week, from September 16โ€“19, and weโ€™re excited to be heading to the event. Itโ€™s always a great opportunity to reconnect with the wind energy community and exchange ideas in person. If you are attending the HUSUM WIND exhibition, we would love to connect with you! We welcome the opportunity

๐Ÿ“… QBlade will be exhibiting at HUSUM Wind 2025 ๐Ÿ“… Read More ยป

๐ŸŒŠ QBlade 2.0.9 is out ๐ŸŒŠ

๐˜Œ๐˜ท๐˜ฆ๐˜ณ ๐˜ธ๐˜ข๐˜ฏ๐˜ต๐˜ฆ๐˜ฅ ๐˜ต๐˜ฐ ๐˜ฅ๐˜ณ๐˜ฐ๐˜ฑ ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ง๐˜ญ๐˜ฐ๐˜ข๐˜ต๐˜ฆ๐˜ณ ๐˜ฅ๐˜ฆ๐˜ด๐˜ช๐˜จ๐˜ฏ ๐˜ช๐˜ฏ๐˜ต๐˜ฐ ๐˜ข ๐˜ธ๐˜ข๐˜ท๐˜ฆ ๐˜ต๐˜ข๐˜ฏ๐˜ฌ ๐˜ธ๐˜ช๐˜ต๐˜ฉ ๐˜ฐ๐˜ฏ๐˜ฆ ๐˜ค๐˜ญ๐˜ช๐˜ค๐˜ฌ? ๐˜˜๐˜‰๐˜ญ๐˜ข๐˜ฅ๐˜ฆ 2.0.9 ๐˜ฎ๐˜ข๐˜ฌ๐˜ฆ๐˜ด ๐˜ช๐˜ต ๐˜ฉ๐˜ข๐˜ฑ๐˜ฑ๐˜ฆ๐˜ฏ… The new release couples directly to ๐—Ÿ๐—›๐—˜๐—˜๐—”โ€™๐˜€ ๐—š๐—ฟ๐—ถ๐—ฑ๐Ÿฎ๐—š๐—ฟ๐—ถ๐—ฑ library, letting you import ๐—›๐—ข๐—ฆ-๐—ข๐—ฐ๐—ฒ๐—ฎ๐—ป or ๐—›๐—ข๐—ฆ-๐—ก๐—ช๐—ง wave fields straight into QBlade. The Higher-Order Spectral (HOS) method retains the nonlinear wave-wave interactions that linear (Airy) theory ignores, giving

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๐Ÿš€ QBlade 2.0.8 is here ๐Ÿš€

Weโ€™re excited to introduce ๐—ค๐—•๐—น๐—ฎ๐—ฑ๐—ฒ ๐Ÿฎ.๐Ÿฌ.๐Ÿด, containing several powerful improvements across ๐—ฎ๐—ฒ๐—ฟ๐—ผ๐—ฑ๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ๐˜€, ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฎ๐—น ๐—ฑ๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ๐˜€, ๐—ต๐˜†๐—ฑ๐—ฟ๐—ผ๐—ฑ๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ๐˜€, ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€. This update refines core physics, expands modeling capabilities, adds numerous features and improves simulation stability. ๐Ÿ’ก ๐—ช๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ก๐—ฒ๐˜„? โœ… ๐—”๐—ฒ๐—ฟ๐—ผ๐—ฑ๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ๐˜€ โ€“ Improved unsteady aero modeling, refined dynamic stall handling, and enhanced VAWT blade design.โœ… ๐—ฆ๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฎ๐—น ๐——๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ๐˜€ โ€“

๐Ÿš€ QBlade 2.0.8 is here ๐Ÿš€ Read More ยป

๐ŸŒŠ From Barge to Spar-Buoy: Floating Platforms Side-by-Side ๐ŸŒŠ

The ๐๐‘๐„๐‹ ๐Ÿ“๐Œ๐– research wind turbine has long been a benchmark for wind energy research and a trusted demonstrator for testing and comparing different floating platform concepts. With QBladeโ€™s upcoming 2.0.8 release, weโ€™re excited to introduce the barge platform model to our library, completing the range of floating platform templates for the ๐๐‘๐„๐‹ ๐Ÿ“๐Œ๐– RWT.

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๐Ÿชข๐Ÿ”Œ New Features: Nonlinear Mooring Line Dynamics & Cable Boundary Conditions

Here is whats new: ๐Ÿชข ๐๐จ๐ง๐ฅ๐ข๐ง๐ž๐š๐ซ ๐ƒ๐ฒ๐ง๐š๐ฆ๐ข๐œ๐ฌ ๐Ÿ๐จ๐ซ ๐’๐ฒ๐ง๐ญ๐ก๐ž๐ญ๐ข๐œ ๐Œ๐จ๐จ๐ซ๐ข๐ง๐ ๐ฌ QBlade now supports nonlinear mooring line dynamics for synthetic ropes like polyester and nylon. Users can now define the nonlinear tension-strain relationship using a data table, enabling highly accurate modeling of synthetic mooring lines. This feature enhances the precision of mooring system simulations, capturing the

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QBlade at WindEnergy Hamburg

As WindEnergy Hamburg concluded last Friday, we are grateful for the engaging discussions and valuable connections made throughout the event! A special highlight was the visit from Brandenburg’s Minister of Finance, Jรถrg Steinbach, to our stand. It was a privilege to share our work with him and discuss the exciting developments in wind energy. Thank

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QBlade goes MDAO ๐Ÿ“Š๐Ÿ“ˆ

Great news from the FLOATFARM project! Our colleague Robert Behrens de Luna has successfully completed the first fully functional integration of QBlade with National Renewable Energy Laboratoryโ€™s open-source optimization frameworks ๐–๐„๐ˆ๐’ and ๐–๐ˆ๐’๐ƒ๐„๐Œ. ๐‡๐ž๐ซ๐žโ€™๐ฌ ๐š ๐ฌ๐ง๐ž๐š๐ค ๐ฉ๐ž๐ž๐ค ๐š๐ญ ๐ญ๐ก๐ž ๐œ๐จ๐ฎ๐ฉ๐ฅ๐ข๐ง๐ : ๐Ÿ”บQBlade now connects seamlessly with all tools in the WEIS framework, including pyHams, the ROSCO

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How does wake steering improve wind farm performance โ“

In this short video, we demonstrate the simulation of 12 wind turbines in a farm setting, highlighting the effectiveness of wake steering. The wake steering is enabled through a slight yaw offset of the first and second row turbines away from the main wind direction. This simulation, containing 12 aero-servo-elastic turbine instances, runs at speeds

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