QBlade Worldwide Download Stats

Dear QBlade Community, it’s been some time since we last connected; we’ve been deep in development, and a big software update is just around the corner with many exciting new features! Before we share more info on this, let’s take a moment to reflect on our shared achievements! We’re proud to announce that QBlade has […]

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Latest Step-By-Step Verification and Validation Study on QBlade Submitted 🔬

Our colleague, Robert Behrens de Luna, has submitted the next exhaustive verification and validation study for QBlade to the Wind Energy Science Journal (WES): “Verifying QBlade-Ocean: A Hydrodynamic Extension to the Wind Turbine Simulation Tool QBlade” This milestone builds upon our contributions to the FLOATECH H2020 Offshore Wind Project and revolves around a meticulous step-by-step

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Craig-Bampton Superelement Reduction Technique

QBlade 2.0.6.4 is released! 🚀🚀🚀 New Feature: Craig-Bampton Superelement Reduction Technique One of the new additions is the implementation of the Craig-Bampton superelement reduction technique. This feature empowers you to model even the most intricate foundation structures efficiently and accurately. What’s more, the superelement technique facilitates a seamless sequential load analysis workflow, fostering collaboration between

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Meet you at HUSUM Wind

We are attending the HUSUM WIND exhibition, taking place from September 12th to 15th, 2023 ! This event brings together experts and leaders from the german and international wind industry sector to discuss the latest technologies, innovations, and challenges facing the sector. If you are attending the HUSUM WIND exhibition, we would love to connect

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The new IAG Dynamic Stall model now available in QBlade

The IAG dynamic stall model accurately predicts more pronounced deep stall hysteresis loops when compared with Beddoes-Leishman based models. In his recent publication on the model development, Galih Bangga shows that this is in better agreement with experimental data: 📖 Bangga, G.; Parkinson, S.; Collier, W. Development and Validation of the IAG Dynamic Stall Model

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QBlade’s SIL Interface with Matlab: An Interactive Tutorial

Our friends at TU Delft, Livia Brandetti and Daniel van den Berg, have created a comprehensive tutorial on using QBlade within Matlab for advanced wind turbine research. Livia and Daniel’s research focus is on the development of active wake mixing controllers for floating offshore wind turbines and pitch controllers for vertical axis wind turbines. This

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QBlade’s Most Comprehensive validation to date

The FLOATECH project has just released deliverable D2.4 the latest validation report comparing the capabilities of QBlade with state-of-the-art codes OpenFAST and DeepLines Wind™ in predicting the behavior of three different Floating Offshore Wind Turbines (FOWTs) in realistic Design Load Case (DLC) scenarios. This extensive report provides valuable insights into the accuracy of numerical models

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