Tootfinder

G.O.P. Bill Adds Surprise Tax That Could Cripple Wind and Solar Power (Brad Plumer/New York Times)
https://www.nytimes.com/2025/06/29/climate/gop-bill-adds-surprise-tax-that-could-cripple-wind-and-solar-power.html
http://www.memeorandum.com/250629/p48#a250629p48

This https://arxiv.org/abs/2505.20720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

“I testify as a conservative and say: ‘What are you guys doing? Have you lost your mind?’” he said. “Some of these bills are attacking battery storage of all things. How dumb is that? It’s sacrificing your core conservative value principles in order to protect the oil and gas industry.”

Electricity supply emerges as prime cyber attack target – German security agency. Decentralized renewables are not always an advantage here: "Smaller power plants like wind turbines are often less well protected against attackers than large power plants.”
https://www.

Electricity supply emerges as prime cyber attack target – German security agency

This https://arxiv.org/abs/2505.20720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control
Andrew Mole, Max Weissenbacher, Georgios Rigas, Sylvain Laizet
https://arxiv.org/abs/2506.20554

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control
Traditional wind farm control operates each turbine independently to maximize individual power output. However, coordinated wake steering across the entire farm can substantially increase the combined wind farm energy production. Although dynamic closed-loop control has proven effective in flow control applications, wind farm optimization has relied primarily on static, low-fidelity simulators that ignore critical turbulent flow dynamics. In this work, we present the first reinforcement learnin…

Not building offshore wind power in #NewJersey is so sad.
https://ww…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland
https://arxiv.org/abs/2505.20720

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

London Home Wind Power Pilot Project (2007) - Eking power from urban wind to attempt to bolster my PV system mid-winter. #wind #microgen - http…

London Home Wind Power Pilot Project (2007)
Eking power from urban wind to attempt to bolster my PV system mid-winter. #wind #microgen

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland
https://arxiv.org/abs/2505.20720

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

"Brazil generates 88% of power from renewables in 2024"
#Brazil #Energy #Renewables

Brazil generates 88% of power from renewables in 2024
Brazil’s electricity mix was 88% renewable in 2024, with wind and solar supplying about 24% of total demand, according to new data from state-owned energy agency Empresa de Pesquisa Energetica (EPE).

How to craft a deep reinforcement learning policy for wind farm flow control
Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, Damien Ernst
https://arxiv.org/abs/2506.06204

How to craft a deep reinforcement learning policy for wind farm flow control
Within wind farms, wake effects between turbines can significantly reduce overall energy production. Wind farm flow control encompasses methods designed to mitigate these effects through coordinated turbine control. Wake steering, for example, consists in intentionally misaligning certain turbines with the wind to optimize airflow and increase power output. However, designing a robust wake steering controller remains challenging, and existing machine learning approaches are limited to quasi-sta…

I wouldn't over-claim re China's emissions reduction.
The reduction is only 1% and still likely to change to an increase.
Moreover, "Many wind and solar power projects have been halted across multiple Chinese regions "after a shift to market pricing. …

Chinese Wind, Solar Projects Shut Amid Shift to Market‐Based Pricing

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Manuel Sage, Khalil Al Handawi, Yaoyao Fiona Zhao
https://arxiv.org/abs/2506.06484

The Economic Dispatch of Power-to-Gas Systems with Deep Reinforcement Learning:Tackling the Challenge of Delayed Rewards with Long-Term Energy Storage
Power-to-Gas (P2G) technologies gain recognition for enabling the integration of intermittent renewables, such as wind and solar, into electricity grids. However, determining the most cost-effective operation of these systems is complex due to the volatile nature of renewable energy, electricity prices, and loads. Additionally, P2G systems are less efficient in converting and storing energy compared to battery energy storage systems (BESs), and the benefits of converting electricity into gas ar…

67,000 homes in Ireland still use peat for heating. However, Bord Na Mona stopped extracting peat last year and closed its last peat power station. Now restoring peatlands which in a dried out, denatured state are carbon emitters. Big wind farms now on former extraction sites too. A great deal of historical damage has been done.
#peat

This https://arxiv.org/abs/2412.10053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach
Structure functions, which represent the moments of the increments of a stochastic process, are essential complementary statistics to power spectra for analysing the self-similar behaviour of a time series. However, many real-world environmental datasets, such as those collected by spacecraft monitoring the solar wind, contain gaps, which inevitably corrupt the statistics. The nature of this corruption for structure functions remains poorly understood - indeed, often overlooked. Here we simulat…

Gone with the Wind: JWST-MIRI Unveils a Strong Outflow from the Quiescent Stellar-Mass Black Hole A0620-00
Zihao Zuo, Gabriele Cugno, Joseph Michail, Elena Gallo, David M. Russell, Richard M. Plotkin, Fan Zou, M. Cristina Baglio, Piergiorgio Casella, Fraser J. Cowie, Rob Fender, Poshak Gandhi, Sera Markoff, Federico Vincentelli, Fraser Lewis, Jon M. Miller, James C. A. Miller-Jones, Alexandra Veledina

Gone with the Wind: JWST-MIRI Unveils a Strong Outflow from the Quiescent Stellar-Mass Black Hole A0620-00
We present new observations of the black hole X-ray binary A0620-00 using the Mid-Infrared Instrument on the James Webb Space Telescope, during a state where the X-ray luminosity is 9 orders of magnitude below Eddington, and coordinated with radio, near-infrared and optical observations. The goal is to understand the nature of the excess mid-infrared (MIR) emission originally detected by Spitzer red-ward of 8 $μ$m. The stellar-subtracted MIR spectrum is well-modeled by a power law with a spect…