ArcVera Renewables’ Post

This one is a long time coming. The ExaWind project has been in the works for the better part of the last decade. The codebase has gained maturity, and the user base has spread wide. This felt like the right time to put out a publication outlining the theory of ExaWind. So here it is! We present ExaWind, a GPU-enabled open-source CFD framework, comprising the near-body unstructured grid solver Nalu-Wind, and the off-body block-structured-grid solver AMR-Wind, which are coupled using overset. Being two-way coupled through overset grids, the two solvers enable simulation of flows across a huge range of length scales, e.g., 10 orders of magnitude going from O(μm) boundary layers along the blades to O(10 km) across a wind farm.  https://lnkd.in/g9j4tJAa

Carbon Capture Innovation in Oil & Gas 🌿⛽ Excited to share the results of my latest project in carbon capturing technology for the oil and gas sector. I've been working on optimizing the process using advanced CFD simulations with ANSYS Fluent. Check out the video below showcasing a CFD simulation of petrol evaporation in a tank. This visual representation demonstrates the intricate fluid dynamics at play and how we can leverage this understanding to improve carbon capture efficiency. This project underscores my commitment to applying cutting-edge CFD techniques to solve real-world challenges in the energy industry. By combining technical expertise with environmental consciousness, we're paving the way for more sustainable practices in oil and gas. #CarbonCapture #OilAndGas #CFDSimulation #ANSYSFluent #SustainableEnergy #FluidDynamics #EngineeringInnovation #CleanTech

New article in Ingeniøren about our FloatStepper algorithm for CFD simulations of floating offshore wind turbines and their interaction with ocean waves: https://lnkd.in/gpxxdfGd (in Danish, paywall) Thank you, Jens Ramskov, for clearly conveying to a general audience what added mass is, how it leads to a numerical instability in fluid-structure coupling simulations, and how FloatStepper solves it. The FloatStepper code is freely available here: https://lnkd.in/ebChA9Ns A 15 min. video presentation of the concept can be found here: https://lnkd.in/gSPZxqC4 #cfd #openfoam #floatstepper #algorithm #fowt #floatingwind #floatingoffshorewind #offshorewind #opensource #greenenergy #greentransition

Thrilled to announce the publication of my latest article, "Critical Issues in the Moving Reference Frame CFD Simulation of Small Horizontal Axis Wind Turbines," open accessed through Energy Conversion and Management Journal. This paper offers best practice guidelines for the CFD simulation of Small Horizontal Axis Wind Turbines by employing a sensitivity analysis of the critical simulation settings. Dive into the details and cite it here: https://lnkd.in/d76B2dtS #Research #CFD #WindEnergy #windturbine #OpenAccess.

We are happy to inform you that we have two new articles online: Enjoy the newest articles that have been published within our Wind Energy Science Journal.   This week we have the following article online:   1.   Difference in load predictions obtained with effective turbulence vs. a dynamic wake meandering modeling approach 2. The effect of site-specific wind conditions and individual pitch control on wear of blade bearings Here the corresponding links to read the full article: 1.     https://lnkd.in/dguCuUty   2.     https://lnkd.in/d2SNTzDr A big thanks to all the authors and reviewers for their great effort and support. Enjoy reading through the new published papers. For more information, and to submit your new manuscript, visit us at the WES Journal website: https://lnkd.in/dfDVqGv7 Please note Wind Energy Science has just been awarded an Impact Factor of 4.0. #windenergy #windenergyresearch #research #journal #windenergysciencejournal #futurewind #papers #publications #wind #EAWE #sustainableenergy #renewableenergy #openaccessjournal #impactfactor

Check out our article on generating multiple #grids for Francis Turbines using #GridPro! Learn the easy process of creating systematically refined #meshes: https://bit.ly/3LROxQO #Meshing #Turbine #Turbomachinery #CFD #CAE #Hydrodynamics #Aerodynamics

Understanding the fluid dynamics around wind turbines is crucial. To do that you have two main methods: Computational Fluid Dynamics (CFD) simulations and Direct Wind Measurement. But how to know which one to pick? 📊 CFD simulations provide a broader, albeit complex, view of fluid dynamics. They can be cost-effective but come with challenges in modeling and validation. 📌 Direct Wind Measurement is more precise, but its scope is limited to specific points. And let's not forget the factors like sensor accuracy that could affect the results. Fluid dynamics is complicated, and neither CFD nor direct measurements are foolproof. Knowing the strengths and limitations of each is key to making informed decisions for your wind energy projects. 🎯 👉 Dive deeper in our article. Get the facts, weigh the pros and cons, and arm yourself with knowledge.

Thrilled to share my latest work on tidal turbine wake simulations! 🌊 Our paper, "Validation of tidal turbine wake simulations using an open regional-scale 3D model against 1MW machine and site measurements," is now published in Ocean Engineering. DOI: 10.1016/j.oceaneng.2024.117402 Our study presents a 1 MW commercial tidal turbine modelled within an open regional 3D hydrodynamic model, validated with field measurements to predict wakes accurately. The meticulous speed-binning and temporal-averaging of velocity profiles allowed us to evaluate errors with precision. The results? An impressively low error rate for ebb and flood at just 0.81% and 1.04% at 2.5 m/s without the turbine, and an average wake profile error of only 4% and 5% at downstream measurement locations. A huge shoutout to all co-authors for their invaluable contributions! 🙌 #TidalEnergy #RenewableEnergy #Hydrodynamics #OceanEngineering #SustainableTechnology #ResearchImpact

Do you need to generate saturation region numbers with different #RelativePermeability curves for each #RockGroup or #RockType, but lack sufficient representative data to construct them? Need the representative data ASAP while the core measurement is still in the measurement process? No worries, as #Sendra SaaS offers a versatile solution to assist you in leveraging #analog data to efficiently and accurately generate representative Relative Permeability values for each group. By combining our new workflow, which employs SCAL Trend analysis and machine learning for similarity ranking to automatically identify analog data, you can find the best representative Relative Permeability values, complete with an #uncertainty range. This will enhance the accuracy of your reservoir dynamic modeling, leading to improved results in history matching and production forecasting. This approach is applicable to various #SCAL models, including: 💡 Oil-Water 💡 Oil-Gas 💡 Water-Gas (including CO2 and H2)🌲 Don't hesitate to request a DEMO, as we are ready to showcase it to your team! #petrophysics #ccus #CCS #reservoirengineering #petroleumengineering #coreanalysis #SCAL #AnalogData #Subsurface #cloudcomputing #cloudsolutions #technology

New video showing the value of existing SCAL data in the new Sendra SaaS solution. Cloud native platform, of course 👍