Tootfinder

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…

Wind turbines! In the middle of a clear cut area of planted forest. I went onto streetview and you could see them from the highway

Think about this, China manufactures around:
85% of the world’s solar panels
80% of batteries
68% of wind turbines
70% of electric vehicles, and
65% of energy storage systems

I posted the same solar facts on two social media platforms: One sparked discussion, the other, disinformation
One hundred solar panels per second reflects extraordinary technical progress. A platform that simply fosters noise over truth does not.

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…

Nice coin design of 10 DZD.
#solar #energy

"Climate change could make ‘droughts’ for wind power 15% longer, study says"
#Climate #ClimateChange #Energy #Renewables

Climate change could make ‘droughts’ for wind power 15% longer, study says - Carbon Brief
Extreme “wind droughts” that reduce power output from turbines for extended periods could become 15% longer by the end of the century

Donald #Trump behauptet, #Windkraftanlagen vor der US-Küste seien für den Tod zahlreicher #Wale verantwortlich.
Doch Daten der

Fact-checking Donald Trump's claim that wind turbines kill whales
The former president blamed wind farms for a spike in whale deaths - but his claims don't stand up.

Trump Starts Investigation That Could Lead to Tariffs on Wind Turbines (Ana Swanson/New York Times)
https://www.nytimes.com/2025/08/21/us/politics/trump-investigation-tariffs-wind-turbines.html
http://www.memeorandum.com/250822/p4#a250822p4

Hydrodynamic Modeling Improvements for Floating Offshore Wind Turbines with Validation Results
Doyal Sarker, Md Sakif, Tri Ngo, Tuhin Das
https://arxiv.org/abs/2508.01093 https:…

Hydrodynamic Modeling Improvements for Floating Offshore Wind Turbines with Validation Results
This study presents key enhancements in hydrodynamic modeling using the strip-based Morison's equation approach to enable rapid simulations of Floating Offshore Wind Turbines (FOWT). The modeling framework employs the relative form of the Morison equation, incorporating nonlinear irregular wave kinematics, vertical wave stretching, and diffraction corrections based on MacCamy-Fuchs (MCF) theory for large-scale, non-slender structures. Wave kinematics are iteratively applied at dynamically displ…

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…

Wind turbines are tough to recycle. This firm wants to transform them into micro homes | CNN
https://edition.cnn.com/style/wind-turbine-blade-made-tiny-home-hnk-spc

BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines
Nico Klar, Nizam Gifary, Felix P. G. Ziegler, Frank Sehnke, Anton Kaifel, Eric Price, Aamir Ahmad
https://arxiv.org/abs/2508.18136

BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines
The urgent need for renewable energy expansion, particularly wind power, is hindered by conflicts with wildlife conservation. To address this, we developed BirdRecorder, an advanced AI-based anti-collision system to protect endangered birds, especially the red kite (Milvus milvus). Integrating robotics, telemetry, and high-performance AI algorithms, BirdRecorder aims to detect, track, and classify avian species within a range of 800 m to minimize bird-turbine collisions. BirdRecorder integrat…

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.

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…

China’s modern influence is primarily built on a formidable economy, dramatic advancements in renewable energy, and a willingness to engage globally with the greatest crisis facing humanity: climate breakdown.
In that sense, the tanks, cannon and missiles that filed past Tiananmen Square may well prove less important in reshaping the world order than the wind turbines, solar panels and electric cars that are churning out of Chinese factories
China has already won the battle for t…

"Wind farms important to achieving net zero, says researcher"
#WindTurbines #Energy #Renewables #NetZero

Wind farms important to achieving net zero, says researcher
Few energy technologies divide public opinion quite like wind turbines. To some, they are elegant icons of the green transition, while others proclaim them to be monstrous eyesores that ruin the landscape. Whether you love them or hate them, one thing is clear: if the UK is to meet its net zero target by 2050, then wind power will have to play a dominant role in getting us there. Policy makers have signaled their commitment, having recently approved one of the largest wind farms in the world to…

Comparison of Droop-Based Single-Loop Grid-Forming Wind Turbines: High-Frequency Open-Loop Unstable Behavior and Damping
Meng Chen, Yufei Xi, Lin Cheng, Xiongfei Wang, Ioannis Lestas
https://arxiv.org/abs/2508.19401

Comparison of Droop-Based Single-Loop Grid-Forming Wind Turbines: High-Frequency Open-Loop Unstable Behavior and Damping
The integration of inverter-interfaced generators introduces new instability phenomena into modern power systems. This paper conducts a comparative analysis of two widely used droop-based grid-forming controls, namely droop control and droop-I control, in wind turbines. Although both approaches provide steady-state reactive power-voltage droop characteristics, their impacts on high-frequency (HF) stability differ significantly. Firstly, on open-loop (OL) comparison reveals that droop-I control …

join the DSA SF social housing reading group!!
next Tuesday 7/22 7pm in person
#sfPol

Social Housing Reading Group
What could social housing look like in San Francisco, and how do we get there? Join DSASF for a reading of the Budget and Legislative Analyst's report on how the city can build its own publicly owned, deeply affordable housing. We will also read the SF Berniecrats report, Housing for the 99%, which lays out a vision for social housing for all in San Francisco.

Block Island's wind farm brings lower costs, sustainability, and debate on renewable energy. #climatechange #climatesolutions #climate

Block Island’s Wind Farm Had Unexpected Benefits
Offshore turbines let Block Island shut down soot-spewing, earsplitting diesel generators. There were other benefits, too.

I've reached the state of mind that when being of a flat plain, I'm looking around me and thinking "something is missing here"… then I realize there are no wind turbines there!

Debunking myths about Scotland's wind energy production and high energy bills - understanding the importance of modernizing grid infrastructure for long-term affordability and reliability. #climatechange #climatesolutions

Community calls out misguided theory about electricity supply: 'You simply aren't understanding'
Scotland once again finds itself at the heart of a spirited online debate over its wind energy.

Modeling and Verification of Lumped-Parameter, Multibody Structural Dynamics for Offshore Wind Turbines
Saad Rahman, Doyal Sarker, Tri Ngo, Roger Bergua, Daniel Zalkind, Jason Jonkman, Tuhin Das
https://arxiv.org/abs/2509.13558

Modeling and Verification of Lumped-Parameter, Multibody Structural Dynamics for Offshore Wind Turbines
This paper presents the modeling and verification of multibody structural dynamics for offshore wind turbines. The flexible tower and support structure of a monopile-based offshore wind turbine are modeled using an acausal, lumped-parameter, multibody approach that incorporates structural flexibility, soil-structure interaction, and hydrodynamic models. Simulation results are benchmarked against alternative modeling approaches, demonstrating the model's ability to accurately capture both static…

Turbulent wind thrust control to reduce pitch motion of floating wind platforms with improved rotor operation
Yi Zhang, Peter Stansby, David Apsley, Hannah Mullings
https://arxiv.org/abs/2509.11707

Turbulent wind thrust control to reduce pitch motion of floating wind platforms with improved rotor operation
For the dynamic analysis of floating offshore wind turbines (FOWTs) in realistic operating environment, this paper develops a coupled aero-hydro-mooring-servo model applicable to turbulent wind and irregular sea states with high computational efficiency. A modified rotor control strategy with platform motion feedback is proposed with a novel gain-scheduling technique to mitigate the negative damping effect on platform motions and decouple the rotor dynamics from the platform dynamics for better…

Enhanced Hydrodynamic Modeling of Offshore Wind Turbines using Morison's Equation with Frequency-Dependent Coefficients
Md Sakif, Doyal Sarker, Kazi Mohsin, Tri Ngo, Tuhin Das
https://arxiv.org/abs/2509.12536

Enhanced Hydrodynamic Modeling of Offshore Wind Turbines using Morison's Equation with Frequency-Dependent Coefficients
This paper presents a novel approach for implementing frequency-dependent hydrodynamic coefficients in Morison's equation, which is widely used in hydrodynamics modeling. Accurate hydrodynamic predictions using Morison's equation necessitate the incorporation of frequency-dependent drag coefficients due to their variation with wave frequency. To address this, the proposed method segments the frequency domain into different regions, such as low-frequency (resonance) and high-frequency (wave) reg…

Double the turbines, double the power! New research shows that tiny counter-rotating wind turbines can generate 37% more energy, making them perfect for decentralized power sources. #climatechange #climatesolutions

Tiny turbines crack wind’s secret ‘twist’ for a giant 37% power boost
Researchers discover a revolutionary counter-rotating micro wind turbine system that generates significantly more power.

Wake-induced variations in noise levels and amplitude modulation for two interacting wind turbines
Jules Colas, Ariane Emmanuelli, Didier Dragna, Richard J. A. M. Stevens
https://arxiv.org/abs/2508.13575

Wake-induced variations in noise levels and amplitude modulation for two interacting wind turbines
The influence of turbine-turbine interactions on sound propagation is investigated using numerical simulations. Three configurations are examined: turbines aligned downstream of each other, placed side by side, and arranged in a staggered pattern. The simulation framework combines large-eddy simulations for aerodynamic interactions, an aeroacoustic source model to simulate turbine sound emission, and parabolic equation methods for sound propagation. When a second turbine is positioned directly …

Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
Xin Yang, Chen Fang, Yunlai Liao, Jian Yang, Konstantinos Gryllias, Dimitrios Chronopoulos
https://arxiv.org/abs/2507.15026

Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
Condition and structural health monitoring (CM/SHM) is a pivotal component of predictive maintenance (PdM) strategies across diverse industrial sectors, including mechanical rotating machinery, airplane composite wings, offshore wind turbines, and civil engineering structures. Conventional deep learning models, while effective in fault diagnosis and anomaly detection through supervised feature extraction and rule-based data augmentation, often struggle with operational variability, imbalanced o…

Impacts of Blade Camber on Cross-Flow Turbine Performance and Loading
Ari Athair, Caelan Consing, Jennifer A. Franck, Owen Williams
https://arxiv.org/abs/2509.14416 https://

Impacts of Blade Camber on Cross-Flow Turbine Performance and Loading
Cross-flow turbines show promise for renewable energy generation from wind and tidal sources. The rotating reference frame of cross-flow turbine blades results in virtual camber and incidence due to streamline curvature, altering the lift, drag and pitching moment of the blades. Adding geometric camber is therefore likely to alter performance and loading, however there is little consensus regarding the direction of camber that might be most favorable. This study compares 2% concave-in and conca…