Tootfinder

🐦‍🔥 End-of-Life Strategies for Wind Turbines: Blade Recycling, Second-Life Applications, and Circular Economy Integration
#wind

Offshore wind is about to get a major upgrade. Siemens Gamesa is developing a 21.5MW prototype turbine—a massive leap in capacity that could dramatically boost energy production at wind farms.
This isn't just about bigger turbines. It's about meeting renewable energy targets faster and cutting carbon emissions at scale.

Siemens Gamesa executive reveals plan for 21MW turbine
Siemens Gamesa executive says that long term aim is to commercialise its 21.5MW prototype turbine, once it is confirmed to be as reliable as existing models

I'm kind of okay with the ending.

Wind farm curtailment: https://www.theferret.scot/why-are-scottish-wind-farms-paid-billions-to-switch-off/

Good windy afternoon!
#windpower #renewables

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Bowen Du, Qi Li, Mingwei Ge, Xintao Li, Yongqian Liu
https://arxiv.org/abs/2510.11392

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Wind farm parameterizations are crucial for quantifying the wind-farm atmosphere interaction, where wind turbines are typically modeled as elevated momentum sinks and sources of turbulence kinetic energy (TKE). These quantities must be properly distributed to the mesoscale grid. Existing parameterizations use the single-column method. However, this method can easily lead to the errors of the spatial distribution of the sink and source, thereby impacting the accuracy of mesoscale flow simulation…

From David Suzuki
Unstoppable renewable energy revolution powers on
There’s good news and bad news on the climate front. Unfortunately, the bad news is horrific, as accelerating extreme weather-related events and other unfolding climate catastrophes show. But there are signs of hope. We just have to stop dragging our feet.

Nonlinear System Identification for Model-Based Control of Waked Wind Turbines
Sebastiano Randino, Lorenzo Schena, Nicolas Coudou, Emanuele Garone, Miguel Alfonso Mendez
https://arxiv.org/abs/2510.07336

Nonlinear System Identification for Model-Based Control of Waked Wind Turbines
This work presents a nonlinear system identification framework for modeling the power extraction dynamics of wind turbines, including both freestream and waked conditions. The approach models turbine dynamics using data-driven power coefficient maps expressed as combinations of compact radial basis functions and polynomial bases, parameterized in terms of tip-speed ratio and upstream conditions. These surrogate models are embedded in a first-order dynamic system suitable for model-based control…

Thanking everyone for all the useful and interesting discussions about this concept.
Here are some excellent links abt studies being done on this from:
@…:

A Copula-Based Variational Autoencoder for Uncertainty Quantification in Inverse Problems: Application to Damage Identification in an Offshore Wind Turbine
Ana Fernandez-Navamuel, Matteo Croci, Martin Alberto Diaz Viera
https://arxiv.org/abs/2510.02013

A Copula-Based Variational Autoencoder for Uncertainty Quantification in Inverse Problems: Application to Damage Identification in an Offshore Wind Turbine
Structural Health Monitoring of Floating Offshore Wind Turbines (FOWTs) is critical for ensuring operational safety and efficiency. However, identifying damage in components like mooring systems from limited sensor data poses a challenging inverse problem, often characterized by multimodal solutions where various damage states could explain the observed response. To overcome it, we propose a Variational Autoencoder (VAE) architecture, where the encoder approximates the inverse operator, while t…

From Bill McKibben
The tsunami of tech spilling from China’s factories has changed the country’s energy landscape—and its physical one, too. For decades China’s development was synonymous with coal, which produced choking air pollution and massive carbon emissions, still greater than those of all other developed nations combined. Now, solar panels carpet deserts and the high, sunstruck plateau of Tibet, and wind turbines up to 300m tall guard coastlines and hilltops

The Crucial Years | Bill McKibben | Substack
Working on Winning the Climate Fight. Click to read The Crucial Years, by Bill McKibben, a Substack publication with hundreds of thousands of subscribers.

Wind Farm Dynamics over a Diurnal Cycle: Analysis of a Comprehensive Large Eddy Simulation, Web-Services Accessible Dataset
Shuolin Xiao, Xiaowei Zhu, Ghanesh Narasimhan, Dennice F Gayme, Charles Meneveau
https://arxiv.org/abs/2510.05005

Wind Farm Dynamics over a Diurnal Cycle: Analysis of a Comprehensive Large Eddy Simulation, Web-Services Accessible Dataset
The atmospheric boundary layer undergoes significant changes throughout a diurnal cycle, affecting wind turbine performance and wakes in wind farms. Wind farm Large Eddy Simulations (LES) under such conditions provide rich datasets to study the underlying dynamics and identify important trends. Here, we describe a comprehensive open dataset generated using LES of an 8-turbine wind farm consisting of four rows of two turbines. To avoid specifying either prescribed surface temperature or heat flu…

Andrew Forrest partners with Envision for self-lifting turbines, revolutionizing renewable energy in Australia. #climatechange #climatesolutions #climate

Andrew Forrest makes big bet on self-lifting turbines in landmark “real zero” deal with Envision
Andrew Forrest’s new wind deal signals the entry of a new “self lifting” technology and a new turbine supplier in the Australian market.