Whiffle’s Post

Did you know weather variables are game-changers in determining power line capacity? Wind speed alone can impact capacity by 44%! Accurate assessments using DLRs ensure a stable and resilient grid for a greener tomorrow. Read more about the impact of using Grid Enhancing Technologies (GETs) here: https://ow.ly/Z50A50SIM5b Learn more about Ampacimon DLR https://lnkd.in/d-Z9yKaa #FutureGrid #DLR #GETs #GridEfficiency #GridSafety #GridInnovation #DynamicGrid #RenewableFuture

Did you know how to increase the capacity of existing transmission lines by 40+%?? Follow Ampacimon if you want to learn more about how we support the energy transition.

What is Atmospheric Turbulence? #Turbulence occurs when airflow becomes irregular and chaotic, creating eddies and vertical currents due to obstacles or changes in wind speed and direction. The intensity of the eddies depends on surface wind, terrain, and air stability. In #WindEnergy, mechanical turbulence can impact turbine performance and structural integrity. 🔍 #TurbulenceIntensity (TI) is an important metric that describes the extent of this variability. TI is calculated as the ratio of wind speed standard deviation to the mean wind speed, helping assess the impact on turbine loads and energy output. At VORTEX, our microscale modeling products like #TIMES, #FARM, #BLOCKS, #LES, offer precise turbulence data, giving wind developers detailed insights into local turbulence conditions. With our high-resolution datasets, we help you understand how turbulence affects turbine efficiency, operational costs, and long-term reliability. 👉 Discover how we can help improve your wind energy projects: https://hubs.ly/Q02RZChY0 #WindTurbines #WindFarm #RenewableEnergy #SustainableEnergy #WRF

Last month I had the opportunity to present some of our recent work on wind turbine wake modelling at #TORQUE2024 in Florence! We highlighted the limitations of today's industry-standard models in capturing the turbulence structure in the wake, which can significantly impact fatigue loading on downwind turbines. Looking at these animated wake inflow fields it's apparent that models like Effective Wake Turbulence and #DynamicWakeMeandering are not capturing all the nuances of waked flow we observe in high-fidelity #LargeEddySimulations. For more details and to see our solution to this issue, check out our paper in the conference proceedings which are published #openaccess: https://lnkd.in/eJUbinr4

#mdpienergies #highlycitedpaper Deterministic and Probabilistic Prediction of Wind Power Based on a Hybrid Intelligent Model 👉 https://brnw.ch/21wL4CS #windpowerforecasting #wavelettransform #categoricalboosting #probabilisticpredictor

#mdpienergies #highlycitedpaper Deterministic and Probabilistic Prediction of Wind Power Based on a Hybrid Intelligent Model 👉 https://brnw.ch/21wKWby #windpowerforecasting #wavelettransform #categoricalboosting #probabilisticpredictor

New paper within the #SUDOCO_eu project 🗞 The paper introduces a load surrogate model to estimate wind turbine damage equivalent loads (DELs) based on local inflow and control parameters, without depending on turbine position. The model effectively predicts DELs using sector-averaged wind speeds, turbulence intensities, rotor speed, pitch angle, and yaw misalignment. 🔗 Read the full article here: https://lnkd.in/d_Z39hrt

Wind Speed and Wind Direction Map

[BLOG] TIMES (V) - VALIDATION OVERVIEW 📈 The #TIMES validation process utilized data from 272 global sites, from both public and private sources. Hourly and 10-minute data were validated using metrics such as Root Mean Square Error (RMSE), correlation, and absolute bias to ensure a comprehensive evaluation of wind speed accuracy. Additionally, we assessed wind standard deviation, Turbulence Intensity (TI), Extreme Events (Vref), Ramps, Power Spectral Density (PSD), seasonal cycles, and vertical profile, among others. Find below, in the last slide, the main metrics by terrain categories using a specially designed Terrain Complexity Index (#TCIX). On the left, it shows the number of points for each terrain type. On the right, there are three box plots displaying the absolute bias of mean wind speed (in %), correlation, and RMSE across five terrain types. 👉 Full article: https://lnkd.in/dM5DC8TP ✔️ Download the Validation Doc: https://lnkd.in/d7HWHePp Stay tuned for more insights! Explore all TIMES Blogs: https://hubs.ly/Q02hZ31j0 #VortexFdC #RenewableEnergy #WindResource #WindEnergy #WindData #WindFarm #WindTurbine #WRF #LES #AtmosphericModeling

Lightning insights with real data from the field = 5 min read. GE 2.x #windturbines are getting destroyed in the Central US! Protect with StrikeTape - avoid wasted time and money. Questions? Let's talk = Joel.Saxum@wglightning.com Weather Guard Lightning Tech - Allen Hall and Team PES Wind - Stefann Perrigot #windenergy #assetmanagement #lightning #protect #beproactive