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 […]
How does wake steering improve wind farm performance ❓ Read More »
The full setup of the IEA Wind TCP Task 56 (OC7) Phase Ia cases are now available to download on QBlade.org. These simulations focus on experimental validation of low (difference) frequency viscous loads on FOWT platform designs and developing tuning practices for Morison coefficients. The setup utilizes QBlade’s new NBODY>1 feature to model hydrodynamic interactions
⚡ Introducing QBlade 2.0.7: Faster, More Advanced, and More Reliable! ⚡ We’re excited to introduce QBlade 2.0.7! This major upgrade enhances simulation accuracy and computational efficiency, supporting detailed analyses for both onshore and offshore wind energy projects. Core Improvements Performance Boost: QBlade CE 2.0.7 is more than 2.5x faster than its predecessor, ensuring efficient simulations
🛠️ We’ve successfully integrated a Dynamic Wake Meandering (DWM) model into QBlade. This lightning fast DWM model will be included in the next release 2.0.7 of QBlade, among other new features. ⚡ 𝗨𝗽𝗰𝗼𝗺𝗶𝗻𝗴: 𝗙𝘂𝗹𝗹 𝗪𝗶𝗻𝗱 𝗣𝗮𝗿𝗸 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗤𝗕𝗹𝗮𝗱𝗲The DWM model allows for the rapid time-domain simulation of wake effects in both onshore and offshore
Dynamic Wake Meandering Model to be Released Soon! Read More »
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
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
Latest Step-By-Step Verification and Validation Study on QBlade Submitted 🔬 Read More »
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
Did you know that you can use QBlade to model Marine Hydrokinetic Turbines (MHK), including the effects of added mass and inertia forces? This feature is currently being used to design and develop a test rig for rotor wake investigations for the large towing tank facility of Technische Universität Berlin. The project “Dynamics and Destabilisation
Modeling Marine Hydrokinetic Turbines (MHK) in QBlade Read More »
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
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
The new IAG Dynamic Stall model now available in QBlade Read More »