Energy & Green Tech
A University of Canterbury (UC) Ph.D. student has identified a renewable and affordable energy source with the ability to remove carbon dioxide ( CO2) from the atmosphere.
Mar 10, 2023
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Energy & Green Tech
Climate change can alter extreme weather events, and these events have the potential to strain, disrupt or damage the nation's grid.
Jan 31, 2023
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Engineering
Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME) have designed a chameleon-like building material that changes its infrared color—and how much heat it absorbs or emits—based on ...
Jan 26, 2023
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Business
As the La Niña weather event wreaks havoc across New South Wales, coal operators are suffering. The Australian coal company Whitehaven is among them—last week slashing its production forecasts after disruption by floods ...
Nov 16, 2022
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Energy & Green Tech
The U.S. Department of Energy's Oak Ridge National Laboratory has provided hydropower operators with new data to better prepare for extreme weather events and shifts in seasonal energy demands caused by climate change.
Sep 22, 2022
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Engineering
Water is the most essential resource for life, for both humans and the crops we consume. Around the world, agriculture accounts for 70% of all freshwater use.
Aug 12, 2022
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Energy & Green Tech
Unprecedented heat waves, storms, and wildfires are pushing electrical grids in the United States to their limits. To work towards a safe and reliable power system in the coming years, utilities will need to factor the potential ...
Aug 5, 2022
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11
Energy & Green Tech
As extreme heatwaves ravage the United States, Europe and Africa, killing thousands, scientists warn that the worst is still to come. With countries continuing to pump greenhouse gasses into the atmosphere and the chance ...
Jul 22, 2022
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Energy & Green Tech
Extreme heat is testing North Carolina's power grid like never before, with triple-digit temperatures causing residents to consume record-breaking amounts of electricity this summer.
Jul 18, 2022
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Computer Sciences
Deep learning models have proved to be very effective for analyzing large amounts of data and accurately predicting future events. This makes them advantageous for a wide range of applications, including weather forecasting.
