
2025-06-03 01:30:40
Aerones, which makes robots that can service wind turbines in about half the time of humans, raised $62M led by Activate Capital and S2G Investments (Virginia Furness/Reuters)
https://www.reuters.com/sustainability/cli
Aerones, which makes robots that can service wind turbines in about half the time of humans, raised $62M led by Activate Capital and S2G Investments (Virginia Furness/Reuters)
https://www.reuters.com/sustainability/cli
Donald #Trump behauptet, #Windkraftanlagen vor der US-Küste seien für den Tod zahlreicher #Wale verantwortlich.
Doch Daten der
Loser: U.S. factories
When Democrats in 2022 created and expanded a slew of federal tax breaks for electric vehicles, solar panels, wind turbines, batteries,
they designed them to encourage companies to use components made in the United States.
That spurred a manufacturing boom, including solar-panel glass recyclers in Georgia and electric-vehicle assembly lines in Kentucky.
The new law could derail many of those factories.
The old tax credit for solar power, for…
"Climate change could make ‘droughts’ for wind power 15% longer, study says"
#Climate #ClimateChange #Energy #Renewables
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.
Toward Sustainable Rare Earth Element Production: Key Challenges in Techno-Economic, Life Cycle, and Social Impact Assessment
Adam Smerigan, Rui Shi
https://arxiv.org/abs/2506.22569
#OTD 10 years ago. Andalusia 🇪🇸
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
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
Condition Monitoring with Machine Learning: A Data-Driven Framework for Quantifying Wind Turbine Energy Loss
Emil Marcus Buchberg, Kent Vugs Nielsen
https://arxiv.org/abs/2506.13012
join the DSA SF social housing reading group!!
next Tuesday 7/22 7pm in person
#sfPol
Active flow control of vertical-axis wind turbines: Insights from large-eddy simulation and finite-time resolvent analysis
Lucas Feitosa de Souza, Renato Fuzaro Miotto, William Roberto Wolf
https://arxiv.org/abs/2507.08625
While the rare earth market is dominated by China, Canada also has some of the largest reserves in the world.
But new rare earth mining projects have to balance the need for these materials with the environmental impacts that mining has on the land.
Instead of starting from scratch, the University of Alberta and Calgary-based CVW CleanTech are trying to mine these valuable substances from tailings, a waste product of open-pit oilsands mining.
Previously known as Titanium …
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
Decarbonizing Mongolia's Energy Sector: A Techno-Economic Analysis of Hybrid Energy Solutions
Otgonpurev Nergui, Dhammawit Paisiripas, Munkhsaikhan Jargalsaikhan
https://arxiv.org/abs/2506.15749
"Birds vs. Wind Turbines: New Research Aims to Prevent Deaths"
#Birds #Animals #WindTurbines #Energy